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ORCIDXian-Sheng Hua 0001
Xiansheng Hua 0001 – XianSheng Hua 0001
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- affiliation: Alibaba DAMO Academy, Artificial Intelligence Center, Hangzhou, China
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2020 – today
- 2024
[j147]Nan Yin
, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo:
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2333-2347 (2024)- [j146]Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Risheng Yu, Xiansheng Hua, Lei Zhang:
Box2Mask: Box-Supervised Instance Segmentation via Level-Set Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5157-5173 (2024) - [j145]Fan Zhang, Hang Zhou, Xian-Sheng Hua, Chong Chen, Xiao Luo:
HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8976-8993 (2024) - [j144]Xinlong Yang, Haixin Wang, Jinan Sun, Yijia Xiao, Wei Xiang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing. IEEE Trans. Inf. Forensics Secur. 19: 7690-7704 (2024) - [j143]Fan Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
FATE: Learning Effective Binary Descriptors With Group Fairness. IEEE Trans. Image Process. 33: 3648-3661 (2024) - [j142]Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 14:1-14:26 (2024) - [j141]Haixin Wang, Huiyu Jiang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(4): 1502-1517 (2024) - [j140]Haixin Wang, Xinlong Yang, Jinan Sun, Shikun Zhang, Chong Chen, XianSheng Hua, Xiao Luo:
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval. IEEE Trans. Knowl. Data Eng. 36(12): 8730-8743 (2024) - [j139]Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen:
Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. IEEE Trans. Multim. 26: 7426-7437 (2024) - [j138]Zeyu Ma, Yuqi Li, Yizhi Luo, Xiao Luo, Jinxing Li, Chong Chen, Xian-Sheng Hua, Guangming Lu:
Discrepancy and Structure-Based Contrast for Test-Time Adaptive Retrieval. IEEE Trans. Multim. 26: 8665-8677 (2024) - [j137]Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(1): 899-912 (2024) - [j136]Zeyu Ma, Siwei Wang, Xiao Luo, Zhonghui Gu, Chong Chen, Jinxing Li, Xian-Sheng Hua, Guangming Lu:
HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 134:1-134:23 (2024) - [j135]Xiruo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xian-Sheng Hua:
Dual Dynamic Threshold Adjustment Strategy. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 224:1-224:18 (2024) - [j134]Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong:
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web 18(2): 18:1-18:26 (2024) - [j133]Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, Xiansheng Hua:
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions. ACM Trans. Web 18(2): 22:1-22:21 (2024) - [c328]Yuxuan Zhou, Xudong Yan, Zhi-Qi Cheng, Yan Yan, Qi Dai, Xian-Sheng Hua:
BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition. CVPR 2024: 2049-2058 - [c327]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval. CVPR 2024: 17016-17026 - [c326]Pengyu Li, Tianchu Guo, Biao Wang, Xian-Sheng Hua:
Grid-Attention: Enhancing Computational Efficiency of Large Vision Models Without Fine-Tuning. ECCV (50) 2024: 54-70 - [c325]Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo:
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE. ICML 2024 - [c324]Hao Wu, Fan Xu, Chong Chen, Xian-Sheng Hua, Xiao Luo, Haixin Wang:
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. ACM Multimedia 2024: 2917-2926 - [c323]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
DEMO: A Statistical Perspective for Efficient Image-Text Matching. NAACL-HLT 2024: 355-369 - [i102]Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, Heng Tao Shen:
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection. CoRR abs/2402.11242 (2024) - [i101]Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun:
An Evaluation of Large Language Models in Bioinformatics Research. CoRR abs/2402.13714 (2024) - [i100]Xiruo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xiansheng Hua:
Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning. CoRR abs/2404.19282 (2024) - [i99]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
DEMO: A Statistical Perspective for Efficient Image-Text Matching. CoRR abs/2405.11496 (2024) - [i98]Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Xian-Sheng Hua, Heng Tao Shen:
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric. CoRR abs/2407.03106 (2024) - [i97]Tianchu Guo, Pengyu Li, Biao Wang, Xian-Sheng Hua:
PersonificationNet: Making customized subject act like a person. CoRR abs/2407.09057 (2024) - [i96]Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju:
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning. CoRR abs/2407.14081 (2024) - [i95]Chongyang Xiang, Jun-Yan He, Zhi-Qi Cheng, Xiao Wu, Xian-Sheng Hua:
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search. CoRR abs/2410.09583 (2024) - 2023
- [j132]Jingcheng Wu, Wenfan Chen, Yuxuan Zhou, Ying Chi, Xian-Sheng Hua, Jian Wu, Xun Gu, Shu-Qing Chen, Zhan Zhou:
TSNAdb v2.0: The Updated Version of Tumor-specific Neoantigen Database. Genom. Proteom. Bioinform. 21(2): 259-266 (2023) - [j131]Chao Xiang, Zhongming Jin, Zhengxu Yu, Xian-Sheng Hua, Yao Hu, Wei Qian, Kaili Zhu, Deng Cai, Xiaofei He:
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation. Int. J. Mach. Learn. Cybern. 14(10): 3381-3391 (2023) - [j130]Wanqing Tu, Dimitra Simeonidou, Lipo Wang, Xian-Sheng Hua, Baek-Young Choi, Richard Han:
Smart Community Networks and Systems. IEEE Netw. 37(2): 126 (2023) - [j129]Jiali Xi, Jianqiang Huang, Shibao Zheng, Qin Zhou, Bernt Schiele, Xian-Sheng Hua, Qianru Sun:
Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions. Pattern Recognit. 134: 109068 (2023) - [j128]Haixin Wang, Jinan Sun, Xiao Luo, Wei Xiang, Shikun Zhang, Chong Chen, Xian-Sheng Hua:
Toward Effective Domain Adaptive Retrieval. IEEE Trans. Image Process. 32: 1285-1299 (2023) - [j127]Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, Heng Tao Shen:
Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation. IEEE Trans. Image Process. 32: 5909-5920 (2023) - [j126]Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
A Survey on Deep Hashing Methods. ACM Trans. Knowl. Discov. Data 17(1): 15:1-15:50 (2023) - [j125]Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling. IEEE Trans. Knowl. Data Eng. 35(4): 4346-4356 (2023) - [j124]Qinchuan Zhang, Yi Jiang, Qin Zhou, Yiru Zhao, Yao Liu, Hongtao Lu, Xian-Sheng Hua:
Single Person Dense Pose Estimation via Geometric Equivariance Consistency. IEEE Trans. Multim. 25: 572-583 (2023) - [j123]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Xian-Sheng Hua:
Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. IEEE Trans. Multim. 25: 3284-3295 (2023) - [j122]Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua:
FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network. IEEE Trans. Multim. 25: 8580-8592 (2023) - [c322]Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang:
Random Boxes Are Open-world Object Detectors. ICCV 2023: 6210-6220 - [c321]Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval. ICCV 2023: 11205-11215 - [c320]Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. ICCV 2023: 14417-14428 - [c319]Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE 2023: 2303-2316 - [c318]Shuxian Liang, Xu Shen, Tongliang Liu, Xian-Sheng Hua:
Contextual Convolutional Networks. ICLR 2023 - [c317]Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo:
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. ICML 2023: 40040-40053 - [c316]Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu:
Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 299-310 - [c315]Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval. NeurIPS 2023 - [c314]Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
DANCE: Learning A Domain Adaptive Framework for Deep Hashing. WWW 2023: 3319-3330 - [i94]Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian-Sheng Hua:
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network. CoRR abs/2301.08160 (2023) - [i93]Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. CoRR abs/2304.11688 (2023) - [i92]Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu:
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. CoRR abs/2305.03944 (2023) - [i91]Hao Wu, Wei Xiong, Fan Xu, Xiao Luo, Chong Chen, Xian-Sheng Hua, Haixin Wang:
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. CoRR abs/2305.11421 (2023) - [i90]Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo:
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. CoRR abs/2306.04979 (2023) - [i89]Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang:
Random Boxes Are Open-world Object Detectors. CoRR abs/2307.08249 (2023) - [i88]Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu:
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification. CoRR abs/2307.15271 (2023) - [i87]Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. CoRR abs/2308.09694 (2023) - [i86]Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR abs/2309.12028 (2023) - [i85]Xuanyi Liu, Zhongqi Yue, Xian-Sheng Hua:
Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector. CoRR abs/2311.02342 (2023) - [i84]Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, Heng Tao Shen:
Hierarchical Graph Pattern Understanding for Zero-Shot VOS. CoRR abs/2312.09525 (2023) - 2022
- [j121]Peiran Jiang, Ying Chi, Xiao-Shuang Li, Xiang Liu, Xian-Sheng Hua, Kelin Xia:
Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design. Briefings Bioinform. 23(1) (2022) - [j120]Xiao-Shuang Li, Xiang Liu, Le Lu, Xian-Sheng Hua, Ying Chi, Kelin Xia:
Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. Briefings Bioinform. 23(4) (2022) - [j119]Ze Chen, Zhihang Fu, Jianqiang Huang, Mingyuan Tao, Shengyu Li, Rongxin Jiang, Xiang Tian, Yaowu Chen, Xian-Sheng Hua:
Dynamic supervisor for cross-dataset object detection. Neurocomputing 469: 310-320 (2022) - [j118]Yuan Liu, Jingyuan Chen, Xinpeng Chen, Bing Deng, Jianqiang Huang, XianSheng Hua:
Centerness-Aware Network for Temporal Action Proposal. IEEE Trans. Circuits Syst. Video Technol. 32(1): 5-16 (2022) - [j117]Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua:
Dense Semantics-Assisted Networks for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3073-3084 (2022) - [j116]Zhengxu Yu, Dong Shen, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Progressive Transfer Learning. IEEE Trans. Image Process. 31: 1340-1348 (2022) - [j115]Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Xian-Sheng Hua, David Dagan Feng:
Graph Convolutional Dictionary Selection With L₂, ₚ Norm for Video Summarization. IEEE Trans. Image Process. 31: 1789-1804 (2022) - [j114]Menglin Wang, Jiachen Li, Baisheng Lai, Xiaojin Gong, Xian-Sheng Hua:
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 31: 6548-6561 (2022) - [j113]Jian Zhang, Alan Hanjalic, Ramesh C. Jain, Xian-Sheng Hua, Shin'ichi Satoh, Yazhou Yao, Dan Zeng:
Guest Editorial: Learning From Noisy Multimedia Data. IEEE Trans. Multim. 24: 1247-1252 (2022) - [j112]Zhengxu Yu, Yilun Zhao, Bin Hong, Zhongming Jin, Jianqiang Huang, Deng Cai, Xian-Sheng Hua:
Apparel-Invariant Feature Learning for Person Re-Identification. IEEE Trans. Multim. 24: 4482-4492 (2022) - [c313]Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu:
Active Boundary Loss for Semantic Segmentation. AAAI 2022: 2397-2405 - [c312]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. AAAI 2022: 3589-3597 - [c311]Yuxuan Zhou, Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Lei Zhang, Margret Keuper, Xian-Sheng Hua:
SP-ViT: Learning 2D Spatial Priors for Vision Transformers. BMVC 2022: 564 - [c310]Mu Hu, Junyi Feng, Jiashen Hua, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xiansheng Hua:
Online Convolutional Reparameterization. CVPR 2022: 558-567 - [c309]Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun:
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. CVPR 2022: 959-968 - [c308]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c307]Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua:
Homography Loss for Monocular 3D Object Detection. CVPR 2022: 1070-1079 - [c306]Yifang Men, Yuan Yao, Miaomiao Cui, Zhouhui Lian, Xuansong Xie, Xian-Sheng Hua:
Unpaired Cartoon Image Synthesis via Gated Cycle Mapping. CVPR 2022: 3491-3500 - [c305]Wangmeng Xiang, Chao Li, Ke Li, Biao Wang, Xian-Sheng Hua, Lei Zhang:
CDAD: A Common Daily Action Dataset with Collected Hard Negative Samples. CVPR Workshops 2022: 3920-3929 - [c304]Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua:
Meta Convolutional Neural Networks for Single Domain Generalization. CVPR 2022: 4672-4681 - [c303]Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua:
Dense Learning based Semi-Supervised Object Detection. CVPR 2022: 4805-4814 - [c302]Hanqing Yang, Sijia Cai, Hualian Sheng, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Yong Tang, Yu Zhang:
Balanced and Hierarchical Relation Learning for One-shot Object Detection. CVPR 2022: 7581-7590 - [c301]Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization. CVPR 2022: 14258-14267 - [c300]Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu:
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. CVPR 2022: 16855-16864 - [c299]Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xian-Sheng Hua, Lei Zhang:
Box-Supervised Instance Segmentation with Level Set Evolution. ECCV (29) 2022: 1-18 - [c298]Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. ECCV (25) 2022: 92-109 - [c297]Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua:
Delving into Details: Synopsis-to-Detail Networks for Video Recognition. ECCV (4) 2022: 262-278 - [c296]Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. ECCV Workshops (8) 2022: 308-325 - [c295]Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Minjian Zhao, Gim Hee Lee:
Rethinking IoU-based Optimization for Single-stage 3D Object Detection. ECCV (9) 2022: 544-561 - [c294]Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Xian-Sheng Hua, Lei Zhang:
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition. ECCV (3) 2022: 627-644 - [c293]Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Lei Zhang:
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. ECCV Workshops (4) 2022: 738-755 - [c292]Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang:
Identifying Hard Noise in Long-Tailed Sample Distribution. ECCV (26) 2022: 739-756 - [c291]Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE 2022: 699-712 - [c290]Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua:
Dynamic Hypergraph Convolutional Network. ICDE 2022: 1621-1634 - [c289]Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang:
On Non-Random Missing Labels in Semi-Supervised Learning. ICLR 2022 - [c288]Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI 2022: 2122-2128 - [c287]Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin:
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. MICCAI (5) 2022: 55-65 - [c286]Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang:
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. MICCAI (3) 2022: 344-354 - [c285]Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang:
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. MICCAI (3) 2022: 564-573 - [c284]Jing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua, Yu Wang, Xiang Chen:
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. MICCAI (3) 2022: 624-633 - [c283]Yingjie Chen, Chong Chen, Xiao Luo, Jianqiang Huang, Xian-Sheng Hua, Tao Wang, Yun Liang:
Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition. ACM Multimedia 2022: 111-119 - [c282]Jinan Sun, Haixin Wang, Xiao Luo, Shikun Zhang, Wei Xiang, Chong Chen, Xian-Sheng Hua:
HEART: Towards Effective Hash Codes under Label Noise. ACM Multimedia 2022: 366-375 - [c281]Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu:
Improved Deep Unsupervised Hashing via Prototypical Learning. ACM Multimedia 2022: 659-667 - [c280]