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2020 – today
- 2024
- [j63]Xiaojun Wang, Zichen Lou, Xiaodan Liang:
Optimal operation of integrated electricity and gas networks with risk analysis using downside risk constraints method. Comput. Chem. Eng. 184: 108641 (2024) - [j62]Linfeng Li, Weixing Su, Fang Liu, Maowei He, Xiaodan Liang:
Multi-scale adaptive networks for efficient inference. Int. J. Mach. Learn. Cybern. 15(2): 267-282 (2024) - [j61]Guangrun Wang
, Changlin Li
, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian
, Xiaodan Liang
, Xiaojun Chang
, Liang Lin
:
DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2722-2740 (2024) - [j60]Hanlin Zhang
, Shuai Lin
, Weiyang Liu
, Pan Zhou
, Jian Tang, Xiaodan Liang
, Eric P. Xing:
Iterative Graph Self-Distillation. IEEE Trans. Knowl. Data Eng. 36(3): 1161-1169 (2024) - [j59]Shuai Lin
, Chen Liu, Pan Zhou
, Zi-Yuan Hu
, Shuojia Wang, Ruihui Zhao
, Yefeng Zheng
, Liang Lin
, Eric P. Xing, Xiaodan Liang
:
Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2747-2758 (2024) - [c225]Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands. AAAI 2024: 2400-2408 - [c224]Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation. AAAI 2024: 3046-3054 - [c223]Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao:
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. AAAI 2024: 3441-3449 - [c222]Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang:
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model. AAAI 2024: 6252-6260 - [c221]Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li:
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. ACL (Findings) 2024: 7160-7174 - [c220]Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee Kenneth Wong:
MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation. ACL (1) 2024: 9796-9810 - [c219]Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song:
CLOMO: Counterfactual Logical Modification with Large Language Models. ACL (1) 2024: 11012-11034 - [c218]Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin:
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. ACL (1) 2024: 12161-12176 - [c217]Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang:
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation. ACL (Findings) 2024: 12538-12559 - [c216]Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. ICLR 2024 - [c215]Renjie Pi, Lewei Yao, Jianhua Han, Xiaodan Liang, Wei Zhang, Hang Xu:
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction. ICLR 2024 - [c214]Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. ICLR 2024 - [c213]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. ICLR 2024 - [i262]Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands. CoRR abs/2401.00979 (2024) - [i261]Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li:
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models. CoRR abs/2401.00988 (2024) - [i260]Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong:
MapGPT: Map-Guided Prompting for Unified Vision-and-Language Navigation. CoRR abs/2401.07314 (2024) - [i259]Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. CoRR abs/2402.08957 (2024) - [i258]Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang:
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR abs/2402.17483 (2024) - [i257]Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR abs/2403.01326 (2024) - [i256]Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. CoRR abs/2403.05770 (2024) - [i255]Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang:
NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning. CoRR abs/2403.07376 (2024) - [i254]Zicheng Zhang, Tong Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Qixiang Ye, Wei Ke:
Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation. CoRR abs/2403.08426 (2024) - [i253]Minbin Huang, Yanxin Long, Xinchi Deng, Ruihang Chu, Jiangfeng Xiong, Xiaodan Liang, Hong Cheng, Qinglin Lu, Wei Liu:
DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation. CoRR abs/2403.08857 (2024) - [i252]Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu:
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. CoRR abs/2403.11929 (2024) - [i251]Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang:
MLP Can Be A Good Transformer Learner. CoRR abs/2404.05657 (2024) - [i250]Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu:
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection. CoRR abs/2404.09216 (2024) - [i249]Jiehui Huang, Xiao Dong, Wenhui Song, Hanhui Li, Jun Zhou, Yuhao Cheng, Shutao Liao, Long Chen, Yiqiang Yan, Shengcai Liao, Xiaodan Liang:
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving. CoRR abs/2404.16771 (2024) - [i248]Junhao Cheng, Baiqiao Yin, Kaixin Cai, Minbin Huang, Hanhui Li, Yuxin He, Xi Lu, Yue Li, Yifei Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang:
TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation. CoRR abs/2404.18919 (2024) - [i247]Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, Xiaodan Liang:
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation. CoRR abs/2405.00448 (2024) - [i246]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. CoRR abs/2405.06677 (2024) - [i245]Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang:
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs. CoRR abs/2405.11880 (2024) - [i244]Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang:
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data. CoRR abs/2405.14333 (2024) - [i243]Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang:
Proving Theorems Recursively. CoRR abs/2405.14414 (2024) - [i242]Jian Zhao, Lei Jin, Jianshu Li, Zheng Zhu, Yinglei Teng, Jiaojiao Zhao, Sadaf Gulshad, Zheng Wang, Bo Zhao, Xiangbo Shu, Yunchao Wei, Xuecheng Nie, Xiaojie Jin, Xiaodan Liang, Shin'ichi Satoh, Yandong Guo, Cewu Lu, Junliang Xing, Jane Shengmei Shen:
The SkatingVerse Workshop & Challenge: Methods and Results. CoRR abs/2405.17188 (2024) - [i241]Jun Zheng, Fuwei Zhao, Youjiang Xu, Xin Dong, Xiaodan Liang:
VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers. CoRR abs/2405.18326 (2024) - [i240]Bingqian Lin, Yunshuang Nie, Ziming Wei, Yi Zhu, Hang Xu, Shikui Ma, Jianzhuang Liu, Xiaodan Liang:
Correctable Landmark Discovery via Large Models for Vision-Language Navigation. CoRR abs/2405.18721 (2024) - [i239]Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li:
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. CoRR abs/2405.19465 (2024) - [i238]Junhao Cheng, Xi Lu, Hanhui Li, Khun Loun Zai, Baiqiao Yin, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang:
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation. CoRR abs/2406.01388 (2024) - [i237]Lijun Zhou, Tao Tang, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Wenbo Hou, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang:
UA-Track: Uncertainty-Aware End-to-End 3D Multi-Object Tracking. CoRR abs/2406.02147 (2024) - [i236]Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin:
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR abs/2406.02990 (2024) - [i235]Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang:
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving. CoRR abs/2406.14408 (2024) - [i234]Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen:
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR abs/2406.20098 (2024) - [i233]Jiaqi Chen, Bingqian Lin, Xinmin Liu, Xiaodan Liang, Kwan-Yee K. Wong:
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation. CoRR abs/2407.05890 (2024) - [i232]Guian Fang, Wenbiao Yan, Yuanfan Guo, Jianhua Han, Zutao Jiang, Hang Xu, Shengcai Liao, Xiaodan Liang:
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance. CoRR abs/2407.06937 (2024) - [i231]Hao Wang, Pengzhen Ren, Zequn Jie, Xiao Dong, Chengjian Feng, Yinlong Qian, Lin Ma, Dongmei Jiang, Yaowei Wang, Xiangyuan Lan, Xiaodan Liang:
OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion. CoRR abs/2407.07844 (2024) - [i230]Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang:
HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. CoRR abs/2407.08706 (2024) - [i229]Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang:
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis. CoRR abs/2407.09887 (2024) - [i228]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. CoRR abs/2407.14474 (2024) - [i227]Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Xujie Zhang, Hanqing Zhao, Xiaodan Liang:
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models. CoRR abs/2407.15886 (2024) - [i226]Zhenyu Xie, Haoye Dong, Yufei Gao, Zehua Ma, Xiaodan Liang:
DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Models. CoRR abs/2407.16511 (2024) - [i225]Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu:
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation. CoRR abs/2407.21048 (2024) - 2023
- [j58]Qiuyan Wang
, Xiaodan Liang, Rize Jin, Yang Yan:
Applications of Strongly Regular Cayley Graphs to Codebooks. IEEE Access 11: 106980-106986 (2023) - [j57]Hang Chen, Bowei Cao, Jiangcun Yang, He Ren, Xingqiu Xia, Xiaowen Zhang, Wei Yan, Xiaodan Liang, Chen Li:
Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence. BMC Medical Informatics Decis. Mak. 23(1): 213 (2023) - [j56]Linfeng Li, Weixing Su, Fang Liu, Maowei He, Xiaodan Liang:
Knowledge Fusion Distillation: Improving Distillation with Multi-scale Attention Mechanisms. Neural Process. Lett. 55(5): 6165-6180 (2023) - [j55]Boyu Yang
, Mingbao Lin
, Yunxiao Zhang, Binghao Liu
, Xiaodan Liang
, Rongrong Ji
, Qixiang Ye
:
Dynamic Support Network for Few-Shot Class Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2945-2951 (2023) - [j54]Changlin Li
, Guangrun Wang
, Bing Wang, Xiaodan Liang
, Zhihui Li
, Xiaojun Chang
:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4430-4446 (2023) - [j53]Yinya Huang
, Lemao Liu
, Kun Xu
, Meng Fang
, Liang Lin
, Xiaodan Liang
:
Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11668-11688 (2023) - [j52]Bingqian Lin
, Yanxin Long
, Yi Zhu
, Fengda Zhu
, Xiaodan Liang
, Qixiang Ye
, Liang Lin
:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12535-12549 (2023) - [j51]Xiao Dong
, Xunlin Zhan
, Yunchao Wei
, Xiaoyong Wei
, Yaowei Wang
, Minlong Lu
, Xiaochun Cao
, Xiaodan Liang
:
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-Level Product Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13117-13133 (2023) - [j50]Junfan Lin
, Keze Wang
, Ziliang Chen
, Xiaodan Liang
, Liang Lin
:
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13363-13375 (2023) - [j49]Dapeng Feng
, Songfang Han
, Hang Xu
, Xiaodan Liang, Xiaojun Tan
:
Point-Guided Contrastive Learning for Monocular 3-D Object Detection. IEEE Trans. Cybern. 53(2): 954-966 (2023) - [j48]Xiao Dong
, Gengwei Zhang
, Xunlin Zhan, Yi Ding
, Yunchao Wei
, Minlong Lu, Xiaodan Liang
:
Caption-Aided Product Detection via Collaborative Pseudo-Label Harmonization. IEEE Trans. Multim. 25: 1916-1927 (2023) - [j47]Mingjie Li, Rui Liu, Fuyu Wang, Xiaojun Chang
, Xiaodan Liang:
Auxiliary signal-guided knowledge encoder-decoder for medical report generation. World Wide Web (WWW) 26(1): 253-270 (2023) - [c212]Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-Robust Language-Image Pre-training. AAAI 2023: 926-934 - [c211]Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. AAAI 2023: 1051-1059 - [c210]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. AAAI 2023: 1568-1576 - [c209]Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang:
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. ACL (1) 2023: 12632-12646 - [c208]Shida Chen, Xiaodan Liang, Pan Zhao:
Application of Intelligent Mobile Terminal in Virtual Building Construction Training Teaching. ADHIP (2) 2023: 345-360 - [c207]Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao:
Learning to Segment Every Referring Object Point by Point. CVPR 2023: 3021-3030 - [c206]Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang:
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CVPR Workshops 2023: 3188-3198 - [c205]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang
:
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. CVPR 2023: 3334-3343 - [c204]Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang:
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CVPR 2023: 9611-9621 - [c203]Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren
, Wei Zhang, Shen Zhao, Xiaodan Liang:
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. CVPR 2023: 15233-15243 - [c202]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CVPR 2023: 15244-15253 - [c201]Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu:
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. CVPR 2023: 23497-23506 - [c200]Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang:
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning. CVPR 2023: 23550-23559 - [c199]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang
, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. EMNLP 2023: 11594-11632 - [c198]Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu:
Composable Text Controls in Latent Space with ODEs. EMNLP 2023: 16543-16570 - [c197]Kaixin Cai, Pengzhen Ren
, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang:
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. ICCV 2023: 1196-1205 - [c196]Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang
, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. ICCV 2023: 3479-3488 - [c195]Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang:
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. ICCV 2023: 8710-8719 - [c194]Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu:
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. ICCV 2023: 15280-15291 - [c193]Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu:
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. ICCV 2023: 15667-15677 - [c192]Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang:
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. ICCV 2023: 22121-22132 - [c191]Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao:
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation. ICCV 2023: 22200-22210 - [c190]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV 2023: 22612-22622 - [c189]Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang:
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. ICCV 2023: 23097-23106 - [c188]Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong:
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. ICLR 2023 - [c187]Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang:
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. ICLR 2023 - [c186]Fengda Zhu, Vincent CS Lee, Xiaojun Chang
, Xiaodan Liang:
Vision Language Navigation with Knowledge-driven Environmental Dreamer. IJCAI 2023: 1840-1848 - [c185]Mengxue Qu, Yu Wu, Wu Liu, Xiaodan Liang, Jingkuan Song, Yao Zhao, Yunchao Wei:
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments. NeurIPS 2023 - [c184]Liucun Lu
, Jinghui Qin
, Zequn Jie
, Lin Ma
, Liang Lin
, Xiaodan Liang
:
RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog. PRCV (1) 2023: 159-171 - [i224]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. CoRR abs/2302.06072 (2023) - [i223]Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang:
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. CoRR abs/2302.10307 (2023) - [i222]Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang:
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. CoRR abs/2303.01788 (2023) - [i221]Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang:
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. CoRR abs/2303.02489 (2023) - [i220]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation. CoRR abs/2303.10323 (2023) - [i219]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CoRR abs/2303.12417 (2023) - [i218]Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang:
GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning. CoRR abs/2303.13756 (2023) - [i217]Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu:
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. CoRR abs/2304.04514 (2023) - [i216]Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu:
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR abs/2304.10406 (2023) - [i215]Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang:
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR abs/2304.14204 (2023) - [i214]Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li:
Boosting Visual-Language Models by Exploiting Hard Samples. CoRR abs/2305.05208 (2023) - [i213]Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang:
Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards. CoRR abs/2305.19599 (2023) - [i212]Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang:
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. CoRR abs/2306.00813 (2023) - [i211]Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang:
MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation. CoRR abs/2306.10322 (2023) - [i210]Pengzhen Ren, Kaidong Zhang, Hetao Zheng, Zixuan Li, Yuhang Wen, Fengda Zhu, Mas Ma, Xiaodan Liang:
RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with Progressive Reasoning Tasks. CoRR abs/2306.11335 (2023) - [i209]Zheng Chong, Xujie Zhang, Fuwei Zhao, Zhenyu Xie, Xiaodan Liang:
Fashion Matrix: Editing Photos by Just Talking. CoRR abs/2307.13240 (2023) - [i208]Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. CoRR abs/2307.16617 (2023) - [i207]Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang:
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. CoRR abs/2308.04829 (2023) - [i206]Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin:
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR abs/2308.06713 (2023) - [i205]Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao:
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation. CoRR abs/2308.07146 (2023) - [i204]Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu:
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. CoRR abs/2308.09306 (2023) - [i203]Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang:
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. CoRR abs/2308.10334 (2023) - [i202]Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang:
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. CoRR abs/2308.11206 (2023) - [i201]Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang:
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. CoRR abs/2308.11331 (2023) - [i200]Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu:
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. CoRR abs/2308.16758 (2023) - [i199]Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang
, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. CoRR abs/2310.00656 (2023) - [i198]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. CoRR abs/2310.02954 (2023) - [i197]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. CoRR abs/2310.10180 (2023) - [i196]Mengxue Qu, Yu Wu, Wu Liu, Xiaodan Liang, Jingkuan Song, Yao Zhao, Yunchao Wei:
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments. CoRR abs/2310.17290 (2023) - [i195]Zhicheng Yang, Yiwei Wang, Yinya Huang
, Jing Xiong, Xiaodan Liang, Jing Tang:
Speak Like a Native: Prompting Large Language Models in a Native Style. CoRR abs/2311.13538 (2023) - [i194]Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song:
CLOMO: Counterfactual Logical Modification with Large Language Models. CoRR abs/2311.17438 (2023) - [i193]Cong Wang, Jiaxi Gu, Panwen Hu, Songcen Xu, Hang Xu, Xiaodan Liang:
DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance. CoRR abs/2312.03018 (2023) - [i192]Xujie Zhang, Xiu Li, Michael Kampffmeyer, Xin Dong, Zhenyu Xie, Feida Zhu, Haoye Dong, Xiaodan Liang:
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on. CoRR abs/2312.03667 (2023) - [i191]Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang:
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model. CoRR abs/2312.10960 (2023) - [i190]Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation. CoRR abs/2312.15916 (2023) - 2022
- [j46]Weixing Su, Linfeng Li, Fang Liu
, Maowei He, Xiaodan Liang:
AI on the edge: a comprehensive review. Artif. Intell. Rev. 55(8): 6125-6183 (2022) - [j45]Nanqing Dong
, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114: 108074 (2022) - [j44]Xunlin Zhan
, Yinya Huang
, Xiao Dong, Qingxing Cao
, Xiaodan Liang:
PathReasoner: Explainable reasoning paths for commonsense question answering. Knowl. Based Syst. 235: 107612 (2022) - [j43]Xunlin Zhan
, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. 258: 109964 (2022) - [j42]Xiaodan Liang
, Siwen Xu
, Yang Liu
, Liling Sun
:
A Modified Whale Optimization Algorithm and Its Application in Seismic Inversion Problem. Mob. Inf. Syst. 2022: 9159130:1-9159130:18 (2022) - [j41]Liang Lin
, Yiming Gao
, Ke Gong
, Meng Wang, Xiaodan Liang
:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2504-2518 (2022) - [j40]Bingqian Lin
, Yi Zhu
, Yanxin Long, Xiaodan Liang, Qixiang Ye
, Liang Lin
:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7175-7189 (2022) - [j39]Bingqian Lin, Yi Zhu, Xiaodan Liang:
Atom correlation based graph propagation for scene graph generation. Pattern Recognit. 122: 108300 (2022) - [j38]Fuyu Wang
, Xiaodan Liang
, Lin Xu, Liang Lin
:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. IEEE Trans. Cybern. 52(6): 5015-5025 (2022) - [j37]Yi Zhu
, Xiwen Liang
, Bingqian Lin
, Qixiang Ye
, Jianbin Jiao
, Liang Lin
, Xiaodan Liang
:
Configurable Graph Reasoning for Visual Relationship Detection. IEEE Trans. Neural Networks Learn. Syst. 33(1): 117-129 (2022) - [j36]Qingxing Cao
, Bailin Li, Xiaodan Liang
, Keze Wang
, Liang Lin
:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2758-2767 (2022) - [c183]Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang:
Laneformer: Object-Aware Row-Column Transformers for Lane Detection. AAAI 2022: 799-807 - [c182]Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang:
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. AAAI 2022: 1592-1600 - [c181]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI 2022: 10663-10671 - [c180]Xiwen Liang, Fengda Zhu, Lingling Li, Hang Xu, Xiaodan Liang:
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration. ACL (1) 2022: 4837-4851 - [c179]Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang:
Dressing in the Wild by Watching Dance Videos. CVPR 2022: 3470-3479 - [c178]Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng:
BodyGAN: General-purpose Controllable Neural Human Body Generation. CVPR 2022: 7723-7732 - [c177]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang
, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CVPR 2022: 9245-9254 - [c176]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang
, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CVPR 2022: 10905-10914 - [c175]Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang:
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search. CVPR 2022: 11871-11881 - [c174]Pengzhen Ren
, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang
:
Beyond Fixation: Dynamic Window Visual Transformer. CVPR 2022: 11977-11987 - [c173]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang
, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR 2022: 12476-12486 - [c172]Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang:
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts. CVPR 2022: 15375-15385 - [c171]Mingjie Li, Wenjia Cai
, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang
:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CVPR 2022: 20624-20633 - [c170]Xiao Dong
, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang:
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. CVPR 2022: 21220-21230 - [c169]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. ECCV (20) 2022: 275-292 - [c168]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 2022: 406-423 - [c167]Mengxue Qu
, Yu Wu
, Wu Liu
, Qiqi Gong
, Xiaodan Liang
, Olga Russakovsky
, Yao Zhao
, Yunchao Wei
:
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding. ECCV (35) 2022: 546-562 - [c166]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. EMNLP (Findings) 2022: 1-13 - [c165]Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. EMNLP 2022: 3014-3026 - [c164]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. EMNLP 2022: 3313-3323 - [c163]Yinya Huang
, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu:
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. EMNLP 2022: 4698-4724 - [c162]Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu:
RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning. EMNLP 2022: 4800-4810 - [c161]Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. ICLR 2022 - [c160]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR 2022 - [c159]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. ICML 2022: 9041-9071 - [c158]Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu
, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. IJCAI 2022: 4266-4272 - [c157]Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang:
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. ACM Multimedia 2022: 4525-4535 - [c156]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang:
Unbiased Math Word Problems Benchmark for Mitigating Solving Bias. NAACL-HLT (Findings) 2022: 1401-1408 - [c155]Guangyi Liu
, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. NAACL-HLT 2022: 2055-2078 - [c154]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. NeurIPS 2022 - [c153]Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu:
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS 2022 - [c152]Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang:
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. NeurIPS 2022 - [c151]Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang:
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. NeurIPS 2022 - [c150]Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu:
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. NeurIPS 2022 - [c149]Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke:
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. NeurIPS 2022 - [c148]Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation. NLPCC (1) 2022: 447-459 - [i189]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. CoRR abs/2202.03680 (2022) - [i188]Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu:
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. CoRR abs/2202.06767 (2022) - [i187]Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok:
Revisiting Over-smoothing in BERT from the Perspective of Graph. CoRR abs/2202.08625 (2022) - [i186]Shervin Minaee, Xiaodan Liang, Shuicheng Yan:
Modern Augmented Reality: Applications, Trends, and Future Directions. CoRR abs/2202.09450 (2022) - [i185]Xiwen Liang, Fengda Zhu, Lingling Li, Hang Xu, Xiaodan Liang:
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration. CoRR abs/2203.04006 (2022) - [i184]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR abs/2203.07724 (2022) - [i183]Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin:
elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR abs/2203.09424 (2022) - [i182]Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang:
Laneformer: Object-aware Row-Column Transformers for Lane Detection. CoRR abs/2203.09830 (2022) - [i181]Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang:
Beyond Fixation: Dynamic Window Visual Transformer. CoRR abs/2203.12856 (2022) - [i180]Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang:
Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR abs/2203.14509 (2022) - [i179]Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang:
Dressing in the Wild by Watching Dance Videos. CoRR abs/2203.15320 (2022) - [i178]Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang:
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search. CoRR abs/2204.05941 (2022) - [i177]Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. CoRR abs/2204.13953 (2022) - [i176]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang
, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CoRR abs/2205.03055 (2022) - [i175]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang:
Unbiased Math Word Problems Benchmark for Mitigating Solving Bias. CoRR abs/2205.08108 (2022) - [i174]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. CoRR abs/2205.08232 (2022) - [i173]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - [i172]Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong:
ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. CoRR abs/2205.12679 (2022) - [i171]Kaicheng Yu, Tao Tang, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang:
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CoRR abs/2205.14951 (2022) - [i170]Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang:
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts. CoRR abs/2205.15509 (2022) - [i169]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CoRR abs/2206.01988 (2022) - [i168]Xiao Dong, Xunlin Zhan, Yunchao Wei, Xiaoyong Wei, Yaowei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang:
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval. CoRR abs/2206.08842 (2022) - [i167]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. CoRR abs/2207.01450 (2022) - [i166]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. CoRR abs/2207.05683 (2022) - [i165]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. CoRR abs/2207.08455 (2022) - [i164]Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei:
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding. CoRR abs/2207.13325 (2022) - [i163]Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong
, Michael Kampffmeyer, Xin Dong, Feida Zhu, Xiaodan Liang:
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on. CoRR abs/2207.13475 (2022) - [i162]Guangyi Liu
, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu:
Composable Text Control Operations in Latent Space with Ordinary Differential Equations. CoRR abs/2208.00638 (2022) - [i161]Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang:
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. CoRR abs/2208.05621 (2022) - [i160]Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang:
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving. CoRR abs/2209.08953 (2022) - [i159]Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu:
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. CoRR abs/2209.09407 (2022) - [i158]Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. CoRR abs/2210.04242 (2022) - [i157]Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang:
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR abs/2210.08458 (2022) - [i156]Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu:
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. CoRR abs/2210.12487 (2022) - [i155]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang
:
MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR abs/2210.13708 (2022) - [i154]Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang:
P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. CoRR abs/2211.00849 (2022) - [i153]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. CoRR abs/2211.06701 (2022) - [i152]Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang:
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. CoRR abs/2211.14052 (2022) - [i151]Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. CoRR abs/2212.01103 (2022) - [i150]Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke:
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. CoRR abs/2212.01769 (2022) - [i149]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. CoRR abs/2212.02746 (2022) - [i148]Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-robust Language-Image Pre-training. CoRR abs/2212.07086 (2022) - 2021
- [j35]Wenge Liu, Jianheng Tang, Xiaodan Liang, Qingling Cai:
Heterogeneous graph reasoning for knowledge-grounded medical dialogue system. Neurocomputing 442: 260-268 (2021) - [j34]Bingqian Lin, Yi Zhu, Xiaodan Liang:
Heterogeneous Excitation-and-Squeeze Network for visual dialog. Neurocomputing 449: 399-410 (2021) - [j33]Qingxing Cao
, Xiaodan Liang, Bailin Li, Liang Lin
:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 887-901 (2021) - [j32]Bowen Wu
, Zhenyu Xie, Xiaodan Liang
, Yubei Xiao
, Haoye Dong
, Liang Lin
:
Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis. IEEE Trans. Image Process. 30: 9259-9269 (2021) - [j31]Yukai Shi
, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin
:
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer. ACM Trans. Intell. Syst. Technol. 12(3): 32:1-32:16 (2021) - [j30]Guangyi Liu
, Yinghong Liao
, Fuyu Wang
, Bin Zhang
, Lu Zhang, Xiaodan Liang, Xiang Wan
, Shaolin Li, Zhen Li
, Shuixing Zhang
, Shuguang Cui
:
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3786-3797 (2021) - [c147]Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. AAAI 2021: 3333-3341 - [c146]Yinya Huang
, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. AAAI 2021: 6375-6383 - [c145]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI 2021: 13362-13370 - [c144]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. AAAI 2021: 14112-14120 - [c143]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. ACL/IJCNLP (Findings) 2021: 513-523 - [c142]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. ACL/IJCNLP (1) 2021: 2718-2729 - [c141]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. ACL/IJCNLP (1) 2021: 5870-5881 - [c140]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. ACL/IJCNLP (1) 2021: 6774-6786 - [c139]Ziyue Xu, Xiaodan Liang, Maowei He, Hanning Chen:
Multiple Adaptive Strategies-based Rat Swarm Optimizer. CCIS 2021: 159-163 - [c138]Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. CVPR 2021: 5251-5260 - [c137]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
:
Dynamic Slimmable Network. CVPR 2021: 8607-8617 - [c136]Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang
, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. CVPR 2021: 12689-12699 - [c135]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. EMNLP (Findings) 2021: 1424-1437 - [c134]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou
, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. EMNLP (Findings) 2021: 2765-2777 - [c133]Yi Zhu, Yue Weng, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao:
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation. ICCV 2021: 1574-1583 - [c132]Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin:
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV 2021: 1594-1603 - [c131]Chong Liu, Fengda Zhu, Xiaojun Chang
, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. ICCV 2021: 1624-1634 - [c130]Jiageng Mao
, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. ICCV 2021: 2703-2712 - [c129]Jiageng Mao
, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. ICCV 2021: 3144-3153 - [c128]Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool:
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. ICCV 2021: 3273-3282 - [c127]Hang Xu, Ning Kang, Gengwei Zhang
, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. ICCV 2021: 5077-5086 - [c126]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang
, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. ICCV 2021: 8251-8260 - [c125]Haonan Yan, Jiaqi Chen, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng:
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model. ICCV 2021: 10871-10880 - [c124]Xunlin Zhan, Yangxin Wu, Xiao Dong
, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang:
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining. ICCV 2021: 11762-11771 - [c123]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV 2021: 12261-12271 - [c122]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV 2021: 12334-12344 - [c121]Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong
, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang:
M3D-VTON: A Monocular-to-3D Virtual Try-On Network. ICCV 2021: 13219-13229 - [c120]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. ICLR 2021 - [c119]Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. ICLR 2021 - [c118]Siyi Hu, Fengda Zhu, Xiaojun Chang
, Xiaodan Liang:
Transformer Based Multi-Agent Framework. ICME Workshops 2021: 1-2 - [c117]Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin:
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME 2021: 1-6 - [c116]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML 2021: 9547-9557 - [c115]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - [c114]Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong
, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang:
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. ACM Multimedia 2021: 3350-3359 - [c113]Yinya Huang
, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang:
DAGN: Discourse-Aware Graph Network for Logical Reasoning. NAACL-HLT 2021: 5848-5855 - [c112]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks 2021 - [c111]Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang:
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. NeurIPS Datasets and Benchmarks 2021 - [c110]Pan Lu, Liang Qiu, Jiaqi Chen, Tanglin Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu:
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. NeurIPS Datasets and Benchmarks 2021 - [c109]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. NeurIPS Datasets and Benchmarks 2021 - [c108]Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang:
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. NeurIPS 2021: 2598-2610 - [p1]Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin:
Graph Reasoning Networks and Applications. Neuro-Symbolic Artificial Intelligence 2021: 103-125 - [i147]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. CoRR abs/2101.03287 (2021) - [i146]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. CoRR abs/2101.08001 (2021) - [i145]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. CoRR abs/2101.10620 (2021) - [i144]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. CoRR abs/2102.00769 (2021) - [i143]Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. CoRR abs/2102.04700 (2021) - [i142]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. CoRR abs/2102.12871 (2021) - [i141]Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu:
A Data-Centric Framework for Composable NLP Workflows. CoRR abs/2103.01834 (2021) - [i140]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR abs/2103.12424 (2021) - [i139]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i138]Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang:
DAGN: Discourse-Aware Graph Network for Logical Reasoning. CoRR abs/2103.14349 (2021) - [i137]Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation with Graph-based Exploration. CoRR abs/2103.17138 (2021) - [i136]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. CoRR abs/2105.04165 (2021) - [i135]Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. CoRR abs/2105.11871 (2021) - [i134]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. CoRR abs/2105.14517 (2021) - [i133]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. CoRR abs/2106.00507 (2021) - [i132]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. CoRR abs/2106.07876 (2021) - [i131]Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. CoRR abs/2106.09645 (2021) - [i130]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR abs/2106.11037 (2021) - [i129]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR abs/2106.11118 (2021) - [i128]Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. CoRR abs/2106.15078 (2021) - [i127]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. CoRR abs/2107.01431 (2021) - [i126]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR abs/2107.07445 (2021) - [i125]Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. CoRR abs/2107.11252 (2021) - [i124]Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang:
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining. CoRR abs/2107.14572 (2021) - [i123]Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang:
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. CoRR abs/2108.00386 (2021) - [i122]Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. CoRR abs/2108.03434 (2021) - [i121]Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang:
Deep Learning for Embodied Vision Navigation: A Survey. CoRR abs/2108.04097 (2021) - [i120]Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui:
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. CoRR abs/2108.05067 (2021) - [i119]Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang:
M3D-VTON: A Monocular-to-3D Virtual Try-On Network. CoRR abs/2108.05126 (2021) - [i118]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR abs/2108.09671 (2021) - [i117]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i116]Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR abs/2109.02499 (2021) - [i115]Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang:
M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks. CoRR abs/2109.04275 (2021) - [i114]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR abs/2109.07222 (2021) - [i113]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. CoRR abs/2109.09161 (2021) - [i112]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR abs/2109.10060 (2021) - [i111]Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu:
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. CoRR abs/2110.13214 (2021) - [i110]Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin:
Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis. CoRR abs/2110.14147 (2021) - [i109]Haonan Yan, Jiaqi Chen, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng:
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model. CoRR abs/2110.15267 (2021) - [i108]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR abs/2111.07783 (2021) - [i107]Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang:
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. CoRR abs/2111.10544 (2021) - [i106]Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang:
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. CoRR abs/2112.04138 (2021) - 2020
- [j29]Liling Sun, Wendi Sun, Xiaodan Liang, Maowei He, Hanning Chen:
A modified surrogate-assisted multi-swarm artificial bee colony for complex numerical optimization problems. Microprocess. Microsystems 76: 103050 (2020) - [j28]Xiaojun Chang
, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020) - [j27]Yujia Zhang
, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing:
Unsupervised object-level video summarization with online motion auto-encoder. Pattern Recognit. Lett. 130: 376-385 (2020) - [j26]Hanjiang Lai
, Jikai Chen, Libing Geng, Yan Pan
, Xiaodan Liang, Jian Yin:
Improving Deep Binary Embedding Networks by Order-Aware Reweighting of Triplets. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1162-1172 (2020) - [c107]Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang:
Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation. AAAI 2020: 8657-8664 - [c106]Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu
, Nong Xiao:
ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection. AAAI 2020: 11093-11100 - [c105]Hang Xu
, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. AAAI 2020: 12492-12499 - [c104]Lewei Yao, Hang Xu
, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. AAAI 2020: 12661-12668 - [c103]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c102]Haoye Dong
, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin:
Fashion Editing With Adversarial Parsing Learning. CVPR 2020: 8117-8125 - [c101]Yangxin Wu, Gengwei Zhang
, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CVPR 2020: 9077-9086 - [c100]Fengda Zhu, Yi Zhu, Xiaojun Chang
, Xiaodan Liang:
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. CVPR 2020: 10009-10019 - [c99]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang
, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-Modal Memory. CVPR 2020: 10727-10736 - [c98]Chenhan Jiang, Hang Xu
, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. CVPR 2020: 11860-11869 - [c97]Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search. ECCV (19) 2020: 185-202 - [c96]Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. ECCV (15) 2020: 689-704 - [c95]Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu:
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) 2020: 197-204 - [c94]Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu:
Record-to-Text Generation with Style Imitation. EMNLP (Findings) 2020: 1589-1598 - [c93]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. EMNLP (1) 2020: 3780-3789 - [c92]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. EMNLP (1) 2020: 9230-9240 - [c91]Gang Liu, Ke Gong, Xiaodan Liang, Zhiguang Chen:
CP-GAN: Context Pyramid Generative Adversarial Network for Speech Enhancement. ICASSP 2020: 6624-6628 - [c90]Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin:
Grammatically Recognizing Images with Tree Convolution. KDD 2020: 903-912 - [c89]Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing:
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS 2020 - [c88]Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin:
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. NeurIPS 2020 - [c87]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. NeurIPS 2020 - [i105]Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang:
Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation. CoRR abs/2002.01196 (2020) - [i104]Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. CoRR abs/2002.07417 (2020) - [i103]Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR abs/2003.06534 (2020) - [i102]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-modal Memory. CoRR abs/2003.06745 (2020) - [i101]Chenhan Jiang, Shaoju Wang, Hang Xu, Xiaodan Liang, Nong Xiao:
ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection. CoRR abs/2003.08770 (2020) - [i100]Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR abs/2003.10065 (2020) - [i99]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CoRR abs/2004.06272 (2020) - [i98]Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. CoRR abs/2006.03744 (2020) - [i97]Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search. CoRR abs/2007.09380 (2020) - [i96]Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. CoRR abs/2007.12147 (2020) - [i95]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. CoRR abs/2010.03994 (2020) - [i94]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. CoRR abs/2010.06823 (2020) - [i93]Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, Xiaodan Liang:
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System. CoRR abs/2010.07497 (2020) - [i92]Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. CoRR abs/2010.12609 (2020) - [i91]Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin:
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. CoRR abs/2010.16119 (2020) - [i90]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. CoRR abs/2011.05268 (2020) - [i89]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR abs/2011.14164 (2020) - [i88]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR abs/2011.14487 (2020) - [i87]Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. CoRR abs/2012.03603 (2020) - [i86]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. CoRR abs/2012.07192 (2020) - [i85]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. CoRR abs/2012.11896 (2020) - [i84]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR abs/2012.11988 (2020) - [i83]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. CoRR abs/2012.13185 (2020)
2010 – 2019
- 2019
- [j25]Chaochun Yuan
, Hanning Chen, Jie Shen, Na Lin, Weixing Su, Fang Liu, Xiaodan Liang:
Indicator-based multi-objective adaptive bacterial foraging algorithm for RFID network planning. Clust. Comput. 22(5): 12649-12657 (2019) - [j24]Yujia Zhang
, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing:
Dilated temporal relational adversarial network for generic video summarization. Multim. Tools Appl. 78(24): 35237-35261 (2019) - [j23]Xiaodan Liang, Ke Gong
, Xiaohui Shen, Liang Lin
:
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 871-885 (2019) - [j22]Maowei He, Yabao Hu, Hanning Chen, Liling Sun, Xiaoxuan Wang, Weixing Su, Fang Liu, Xiaodan Liang, Lianbo Ma:
Lifecycle coevolution framework for many evolutionary and swarm intelligence algorithms fusion in solving complex optimization problems. Swarm Evol. Comput. 47: 3-20 (2019) - [j21]Michael Kampffmeyer
, Nanqing Dong
, Xiaodan Liang, Yujia Zhang
, Eric P. Xing:
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Trans. Image Process. 28(5): 2518-2529 (2019) - [c86]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. AAAI 2019: 6666-6673 - [c85]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. AAAI 2019: 7346-7353 - [c84]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He
, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu
, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c83]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. ACL (1) 2019: 5624-5634 - [c82]Ziliang Chen, Jingyu Zhuang
, Xiaodan Liang, Liang Lin:
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR 2019: 2248-2257 - [c81]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CVPR 2019: 2937-2945 - [c80]Hang Xu
, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li:
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. CVPR 2019: 6419-6428 - [c79]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CVPR 2019: 7450-7459 - [c78]Xiaodan Liang:
Learning Personalized Modular Network Guided by Structured Knowledge. CVPR 2019: 8944-8952 - [c77]Hang Xu
, Chenhan Jiang, Xiaodan Liang, Zhenguo Li:
Spatial-Aware Graph Relation Network for Large-Scale Object Detection. CVPR 2019: 9298-9307 - [c76]Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing:
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CVPR 2019: 11487-11496 - [c75]Haoye Dong
, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin:
FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On. ICCV 2019: 1161-1170 - [c74]Hang Xu
, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang:
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. ICCV 2019: 6648-6657 - [c73]Haoye Dong
, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu
, Zhiting Hu, Jian Yin:
Towards Multi-Pose Guided Virtual Try-On Network. ICCV 2019: 9025-9034 - [c72]Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. ICCV 2019: 9576-9585 - [c71]Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) 2019 - [c70]Haoye Dong
, Xiaodan Liang, Chenxing Zhou, Hanjiang Lai, Jia Zhu
, Jian Yin:
Part-Preserving Pose Manipulation for Person Image Synthesis. ICME 2019: 1234-1239 - [c69]Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. ICML 2019: 1112-1121 - [c68]Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing:
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) 2019: 828-836 - [c67]Weijiang Yu, Jingwen Zhou, Weihao Yu, Xiaodan Liang, Nong Xiao:
Heterogeneous Graph Learning for Visual Commonsense Reasoning. NeurIPS 2019: 2765-2775 - [c66]Diqi Chen
, Xiaodan Liang, Yizhou Wang, Wen Gao:
Soft Transfer Learning via Gradient Diagnosis for Visual Relationship Detection. WACV 2019: 1118-1126 - [i82]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. CoRR abs/1901.10623 (2019) - [i81]Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin:
Towards Multi-pose Guided Virtual Try-on Network. CoRR abs/1902.11026 (2019) - [i80]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. CoRR abs/1903.10122 (2019) - [i79]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CoRR abs/1904.04536 (2019) - [i78]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. CoRR abs/1905.11553 (2019) - [i77]Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin:
Fashion Editing with Multi-scale Attention Normalization. CoRR abs/1906.00884 (2019) - [i76]Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CoRR abs/1907.03389 (2019) - [i75]Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. CoRR abs/1907.03426 (2019) - [i74]Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin:
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network. CoRR abs/1909.10128 (2019) - [i73]Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning. CoRR abs/1909.13032 (2019) - [i72]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CoRR abs/1910.01923 (2019) - [i71]Weijiang Yu, Jingwen Zhou, Weihao Yu, Xiaodan Liang, Nong Xiao:
Heterogeneous Graph Learning for Visual Commonsense Reasoning. CoRR abs/1910.11475 (2019) - [i70]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks. CoRR abs/1911.07883 (2019) - [i69]Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. CoRR abs/1911.09929 (2019) - [i68]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - 2018
- [j20]Jintian Yun, Maowei He, Yunlong Zhu, Xiaodan Liang, Fang Liu, Weixing Su, Hanning Chen:
Droplet property optimization in printable electronics fabrication using root system growth algorithm. Comput. Ind. Eng. 125: 592-603 (2018) - [j19]Xiaodan Liang, Liang Lin
, Yunchao Wei
, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Proposal-Free Network for Instance-Level Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2978-2991 (2018) - [j18]Jianan Li, Xiaodan Liang, Shengmei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Scale-Aware Fast R-CNN for Pedestrian Detection. IEEE Trans. Multim. 20(4): 985-996 (2018) - [j17]Jianan Li, Xiaodan Liang, Jianshu Li
, Yunchao Wei
, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Multistage Object Detection With Group Recursive Learning. IEEE Trans. Multim. 20(7): 1645-1655 (2018) - [c65]Peilun Li, Xiaodan Liang, Daoyuan Jia, Eric P. Xing:
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption. BMVC 2018: 73 - [c64]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. BMVC 2018: 130 - [c63]Liangke Gui, Xiaodan Liang, Xiaojun Chang, Alexander G. Hauptmann:
Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition. BMVC 2018: 207 - [c62]Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing:
Query-Conditioned Three-Player Adversarial Network for Video Summarization. BMVC 2018: 288 - [c61]Xiaodan Liang, Hongfei Zhou, Eric P. Xing:
Dynamic-Structured Semantic Propagation Network. CVPR 2018: 752-761 - [c60]Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. CVPR 2018: 7249-7257 - [c59]Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang
, Xiaodan Liang:
Reinforcement Cutting-Agent Learning for Video Object Segmentation. CVPR 2018: 9080-9089 - [c58]Xiaojun Chang
, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann:
RCAA: Relational Context-Aware Agents for Person Search. ECCV (9) 2018: 86-102 - [c57]Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. ECCV (1) 2018: 415-432 - [c56]Luona Yang, Xiaodan Liang, Tairui Wang, Eric P. Xing:
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving. ECCV (4) 2018: 553-570 - [c55]Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing:
Generative Semantic Manipulation with Mask-Contrasting GAN. ECCV (13) 2018: 574-590 - [c54]Xiaodan Liang, Tairui Wang, Luona Yang, Eric P. Xing:
CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving. ECCV (7) 2018: 604-620 - [c53]Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang:
Toward Characteristic-Preserving Image-Based Virtual Try-On Network. ECCV (13) 2018: 607-623 - [c52]Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin:
Instance-Level Human Parsing via Part Grouping Network. ECCV (4) 2018: 805-822 - [c51]Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura:
Adversarial Geometry-Aware Human Motion Prediction. ECCV (4) 2018: 823-842 - [c50]Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg
, Eric P. Xing, Min Xu:
Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms. ICIP 2018: 1578-1582 - [c49]Liang-Yan Gui, Kevin Zhang
, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567 - [c48]Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley:
StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network. KDD 2018: 724-733 - [c47]Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing:
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI 2018: 263-273 - [c46]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI 2018: 317-325 - [c45]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) 2018: 544-552 - [c44]Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin:
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing. ACM Multimedia 2018: 1527-1535 - [c43]Yunchao Wei, Xiaodan Liang, Si Liu, Liang Lin:
Structured Deep Learning for Pixel-level Understanding. ACM Multimedia 2018: 2090-2092 - [c42]Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. NeurIPS 2018: 472-482 - [c41]Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. NeurIPS 2018: 1537-1547 - [c40]Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin:
Hybrid Knowledge Routed Modules for Large-scale Object Detection. NeurIPS 2018: 1559-1570 - [c39]Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing:
Symbolic Graph Reasoning Meets Convolutions. NeurIPS 2018: 1858-1868 - [c38]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. NeurIPS 2018: 10522-10533 - [i67]Yujia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing:
Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder. CoRR abs/1801.00543 (2018) - [i66]Peilun Li, Xiaodan Liang, Daoyuan Jia, Eric P. Xing:
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption. CoRR abs/1801.01726 (2018) - [i65]Luona Yang, Xiaodan Liang, Eric P. Xing:
Unsupervised Real-to-Virtual Domain Unification for End-to-End Highway Driving. CoRR abs/1801.03458 (2018) - [i64]Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu:
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. CoRR abs/1802.04087 (2018) - [i63]Xiaodan Liang, Hongfei Zhou, Eric P. Xing:
Dynamic-structured Semantic Propagation Network. CoRR abs/1803.06067 (2018) - [i62]Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. CoRR abs/1804.00105 (2018) - [i61]Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin:
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark. CoRR abs/1804.01984 (2018) - [i60]Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing:
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. CoRR abs/1804.07836 (2018) - [i59]Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing:
DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization. CoRR abs/1804.11228 (2018) - [i58]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. CoRR abs/1805.04634 (2018) - [i57]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. CoRR abs/1805.08298 (2018) - [i56]Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing:
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CoRR abs/1805.11724 (2018) - [i55]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. CoRR abs/1806.09764 (2018) - [i54]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR abs/1807.03434 (2018) - [i53]Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger, Xiaodan Liang, Thomas Lachmann, Eric P. Xing:
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful. CoRR abs/1807.03711 (2018) - [i52]Xiaodan Liang, Tairui Wang, Luona Yang, Eric P. Xing:
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving. CoRR abs/1807.03776 (2018) - [i51]Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing:
Query-Conditioned Three-Player Adversarial Network for Video Summarization. CoRR abs/1807.06677 (2018) - [i50]Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. CoRR abs/1807.06708 (2018) - [i49]Bochao Wang, Huabin Zhang, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang:
Toward Characteristic-Preserving Image-based Virtual Try-On Network. CoRR abs/1807.07688 (2018) - [i48]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR abs/1807.11113 (2018) - [i47]Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin:
Instance-level Human Parsing via Part Grouping Network. CoRR abs/1808.00157 (2018) - [i46]Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin:
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing. CoRR abs/1808.00661 (2018) - [i45]Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - [i44]Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. CoRR abs/1809.01810 (2018) - [i43]Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedules for Alternate Optimization. CoRR abs/1810.02442 (2018) - [i42]Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. CoRR abs/1810.11610 (2018) - [i41]Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin:
Hybrid Knowledge Routed Modules for Large-scale Object Detection. CoRR abs/1810.12681 (2018) - 2017
- [j16]Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai
, Eric P. Xing:
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinform. 33(14): i13-i22 (2017) - [j15]Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang
, Liang Lin, Shuicheng Yan:
Human Parsing with Contextualized Convolutional Neural Network. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 115-127 (2017) - [j14]Xiaodan Liang, Yunchao Wei, Liang Lin
, Yunpeng Chen
, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Learning to Segment Human by Watching YouTube. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1462-1468 (2017) - [j13]Yunchao Wei, Xiaodan Liang, Yunpeng Chen
, Xiaohui Shen, Ming-Ming Cheng
, Jiashi Feng, Yao Zhao, Shuicheng Yan:
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2314-2320 (2017) - [j12]Shikai Jing, Xiaodan Liang, Hanning Chen, Tao Zou, Lianbo Ma:
Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model. Soft Comput. 21(14): 4055-4083 (2017) - [j11]Lianbo Ma, Hanning Chen, Xu Li, Xiaoxian He, Xiaodan Liang:
Root system growth biomimicry for global optimization models and emergent behaviors. Soft Comput. 21(24): 7485-7502 (2017) - [j10]Jianan Li
, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Attentive Contexts for Object Detection. IEEE Trans. Multim. 19(5): 944-954 (2017) - [j9]Hanning Chen, Lianbo Ma, Maowei He, Xingwei Wang, Xiaodan Liang, Liling Sun, Min Huang:
Artificial Bee Colony Optimizer Based on Bee Life-Cycle for Stationary and Dynamic Optimization. IEEE Trans. Syst. Man Cybern. Syst. 47(2): 327-346 (2017) - [c37]Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. CVPR 2017: 1656-1664 - [c36]Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Perceptual Generative Adversarial Networks for Small Object Detection. CVPR 2017: 1951-1959 - [c35]Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. CVPR 2017: 2175-2184 - [c34]Xiaodan Liang, Lisa Lee, Eric P. Xing:
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection. CVPR 2017: 4408-4417 - [c33]Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang
, Hui Cheng:
Recurrent 3D Pose Sequence Machines. CVPR 2017: 5543-5552 - [c32]Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng
, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. CVPR 2017: 6488-6496 - [c31]Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin:
Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing. CVPR 2017: 6757-6765 - [c30]Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing:
Dual Motion GAN for Future-Flow Embedded Video Prediction. ICCV 2017: 1762-1770 - [c29]Yuan Yuan
, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV 2017: 1819-1828 - [c28]Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing:
Recurrent Topic-Transition GAN for Visual Paragraph Generation. ICCV 2017: 3382-3391 - [c27]Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon:
Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. ICCV 2017: 5104-5112 - [c26]Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
Toward Controlled Generation of Text. ICML 2017: 1587-1596 - [c25]Jianan Li, Yunchao Wei, Xiaodan Liang, Fang Zhao, Jianshu Li, Tingfa Xu, Jiashi Feng:
Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval. ACM Multimedia 2017: 181-189 - [c24]Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing:
Structured Generative Adversarial Networks. NIPS 2017: 3899-3909 - [c23]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC 2017: 181-193 - [i40]Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
Controllable Text Generation. CoRR abs/1703.00955 (2017) - [i39]Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan:
Tree-Structured Reinforcement Learning for Sequential Object Localization. CoRR abs/1703.02710 (2017) - [i38]Xiaodan Liang, Lisa Lee, Eric P. Xing:
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection. CoRR abs/1703.03054 (2017) - [i37]Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. CoRR abs/1703.03055 (2017) - [i36]Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin:
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing. CoRR abs/1703.05446 (2017) - [i35]Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing:
Recurrent Topic-Transition GAN for Visual Paragraph Generation. CoRR abs/1703.07022 (2017) - [i34]Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing:
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning. CoRR abs/1703.07027 (2017) - [i33]Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing:
ZM-Net: Real-time Zero-shot Image Manipulation Network. CoRR abs/1703.07255 (2017) - [i32]Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. CoRR abs/1703.08448 (2017) - [i31]Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing:
SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR abs/1703.08770 (2017) - [i30]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR abs/1706.03292 (2017) - [i29]Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Perceptual Generative Adversarial Networks for Small Object Detection. CoRR abs/1706.05274 (2017) - [i28]Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng:
Recurrent 3D Pose Sequence Machines. CoRR abs/1707.09695 (2017) - [i27]Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing:
Dual Motion GAN for Future-Flow Embedded Video Prediction. CoRR abs/1708.00284 (2017) - [i26]Xiaodan Liang, Hao Zhang, Eric P. Xing:
Generative Semantic Manipulation with Contrasting GAN. CoRR abs/1708.00315 (2017) - [i25]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR abs/1708.00666 (2017) - [i24]Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. CoRR abs/1708.03132 (2017) - [i23]Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan:
Learning to Segment Human by Watching YouTube. CoRR abs/1710.01457 (2017) - [i22]Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing:
Structured Generative Adversarial Networks. CoRR abs/1711.00889 (2017) - 2016
- [j8]Yunchao Wei, Xiaodan Liang, Yunpeng Chen
, Zequn Jie, Yanhui Xiao, Yao Zhao, Shuicheng Yan:
Learning to segment with image-level annotations. Pattern Recognit. 59: 234-244 (2016) - [j7]Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao
, Wei Zheng, Tianjiang Wang, Shuicheng Yan:
Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2273-2283 (2016) - [j6]Zequn Jie
, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan:
Scale-Aware Pixelwise Object Proposal Networks. IEEE Trans. Image Process. 25(10): 4525-4539 (2016) - [j5]Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang:
Recognizing Focal Liver Lesions in CEUS With Dynamically Trained Latent Structured Models. IEEE Trans. Medical Imaging 35(3): 713-727 (2016) - [j4]Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, Shuicheng Yan:
Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval. IEEE Trans. Multim. 18(6): 1175-1186 (2016) - [c22]Hanning Chen, Xiaodan Liang, Maowei He, Weixing Su:
Biomimicry of Plant Root Foraging for Distributed Optimization: Models and Emergent Behaviors. BIC-TA (2) 2016: 231-240 - [c21]Xiaodan Liang, Maowei He, Hanning Chen:
Adaptive Bacterial Foraging Algorithm and Its Application in Mobile Robot Path Planning. BIC-TA (2) 2016: 241-246 - [c20]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan:
Reversible Recursive Instance-Level Object Segmentation. CVPR 2016: 633-641 - [c19]Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang
, Xiaodan Liang, Wangmeng Zuo:
Deep Structured Scene Parsing by Learning with Image Descriptions. CVPR 2016: 2276-2284 - [c18]Xiaodan Liang, Xiaohui Shen, Donglai Xiang
, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Local-Global Long Short-Term Memory. CVPR 2016: 3185-3193 - [c17]Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Graph LSTM. ECCV (1) 2016: 125-143 - [c16]Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos
, Shuicheng Yan:
Peak-Piloted Deep Network for Facial Expression Recognition. ECCV (2) 2016: 425-442 - [c15]Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He:
Is Faster R-CNN Doing Well for Pedestrian Detection? ECCV (2) 2016: 443-457 - [c14]Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin:
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. ECCV (2) 2016: 541-557 - [c13]Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin:
Geometric Scene Parsing with Hierarchical LSTM. IJCAI 2016: 3439-3445 - [c12]Keze Wang
, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin:
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. ACM Multimedia 2016: 1227-1236 - [c11]Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan:
Tree-Structured Reinforcement Learning for Sequential Object Localization. NIPS 2016: 127-135 - [i21]Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan:
Scale-aware Pixel-wise Object Proposal Networks. CoRR abs/1601.04798 (2016) - [i20]Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Graph LSTM. CoRR abs/1603.07063 (2016) - [i19]Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Attentive Contexts for Object Detection. CoRR abs/1603.07415 (2016) - [i18]Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin:
Geometric Scene Parsing with Hierarchical LSTM. CoRR abs/1604.01931 (2016) - [i17]Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo:
Deep Structured Scene Parsing by Learning with Image Descriptions. CoRR abs/1604.02271 (2016) - [i16]Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin:
RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model. CoRR abs/1604.05000 (2016) - [i15]Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Nuno Vasconcelos, Shuicheng Yan:
Peak-Piloted Deep Network for Facial Expression Recognition. CoRR abs/1607.06997 (2016) - [i14]Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He:
Is Faster R-CNN Doing Well for Pedestrian Detection? CoRR abs/1607.07032 (2016) - [i13]Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin:
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. CoRR abs/1608.03932 (2016) - [i12]Jianan Li, Xiaodan Liang, Jianshu Li, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Multi-stage Object Detection with Group Recursive Learning. CoRR abs/1608.05159 (2016) - 2015
- [j3]Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan:
Deep Human Parsing with Active Template Regression. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2402-2414 (2015) - [j2]Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Xiaochun Cao, Shuicheng Yan:
Fashion Parsing With Video Context. IEEE Trans. Multim. 17(8): 1347-1358 (2015) - [c10]WeiTao Yuan, Na Lin, Hanning Chen, Xiaodan Liang, Maowei He:
A NSGA-II with ADMM Mutation for Solving Multi-objective Robust PCA Problem. BIC-TA 2015: 583-597 - [c9]Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan:
Matching-CNN meets KNN: Quasi-parametric human parsing. CVPR 2015: 1419-1427 - [c8]Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan:
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection. ICCV 2015: 999-1007 - [c7]Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang
, Liang Lin, Shuicheng Yan:
Human Parsing with Contextualized Convolutional Neural Network. ICCV 2015: 1386-1394 - [c6]Hanning Chen, Xiaodan Liang, WeiTao Yuan, Liling Sun, Maowei He, Nuo Ji:
Root system growth for global optimization. ICIA 2015: 2098-2103 - [i11]Xiaodan Liang, Liang Lin, Liangliang Cao:
Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition. CoRR abs/1502.00258 (2015) - [i10]Liang Lin, Yuanlu Xu, Xiaodan Liang, Jianhuang Lai:
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models. CoRR abs/1502.00344 (2015) - [i9]Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin:
Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model. CoRR abs/1502.00750 (2015) - [i8]Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan:
Deep Human Parsing with Active Template Regression. CoRR abs/1503.02391 (2015) - [i7]Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan:
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing. CoRR abs/1504.01220 (2015) - [i6]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Liang Lin, Shuicheng Yan:
Proposal-free Network for Instance-level Object Segmentation. CoRR abs/1509.02636 (2015) - [i5]Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan:
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation. CoRR abs/1509.03150 (2015) - [i4]Jianan Li, Xiaodan Liang, Shengmei Shen, Tingfa Xu, Shuicheng Yan:
Scale-aware Fast R-CNN for Pedestrian Detection. CoRR abs/1510.08160 (2015) - [i3]Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan:
Semantic Object Parsing with Local-Global Long Short-Term Memory. CoRR abs/1511.04510 (2015) - [i2]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan:
Reversible Recursive Instance-level Object Segmentation. CoRR abs/1511.04517 (2015) - 2014
- [j1]Liang Lin, Yuanlu Xu
, Xiaodan Liang, Jian-Huang Lai:
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models. IEEE Trans. Image Process. 23(7): 3191-3202 (2014) - [c5]Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin:
Recognizing focal liver lesions in contrast-enhanced ultrasound with discriminatively trained spatio-temporal model. ISBI 2014: 1184-1187 - [c4]Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Shuicheng Yan:
Fashion Parsing with Video Context. ACM Multimedia 2014: 467-476 - [i1]Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan:
Computational Baby Learning. CoRR abs/1411.2861 (2014) - 2013
- [c3]Xiaodan Liang, Jigang Wu, Liangyu Li:
Bio-inspired Algorithms for FPGA Implementation of RFID Base-Band Transmission Model & IP Core. EIDWT 2013: 296-301 - [c2]Xiaodan Liang, Liang Lin, Liangliang Cao:
Learning latent spatio-temporal compositional model for human action recognition. ACM Multimedia 2013: 263-272 - 2011
- [c1]Xiaodan Liang:
The Model Design and Simulation of Automatic Placement Path for the Shell of Composite Materials. PAAP 2011: 281-284
Coauthor Index
aka: Michael C. Kampffmeyer
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