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2020 – today
- 2024
[j17]Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao:
Multimodal Foundation Models: From Specialists to General-Purpose Assistants. Found. Trends Comput. Graph. Vis. 16(1-2): 1-214 (2024)- [j16]Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko:
Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models. Int. J. Comput. Vis. 132(4): 1009-1011 (2024) - [c91]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c90]Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao:
Visual in-Context Prompting. CVPR 2024: 12861-12871 - [c89]Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee:
Improved Baselines with Visual Instruction Tuning. CVPR 2024: 26286-26296 - [c88]Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang:
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. ECCV (43) 2024: 19-35 - [c87]Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang:
Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection. ECCV (47) 2024: 38-55 - [c86]Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. ECCV (47) 2024: 126-142 - [c85]Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao:
Segment and Recognize Anything at Any Granularity. ECCV (48) 2024: 467-484 - [c84]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen:
Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP 2024: 6915-6919 - [c83]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c82]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [i115]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i114]Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i113]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - [i112]Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao:
Graphic Design with Large Multimodal Model. CoRR abs/2404.14368 (2024) - [i111]Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo:
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment. CoRR abs/2405.17871 (2024) - [i110]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i109]Lu Xu, Sijie Zhu, Chunyuan Li, Chia-Wen Kuo, Fan Chen, Xinyao Wang, Guang Chen, Dawei Du, Ye Yuan, Longyin Wen:
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model. CoRR abs/2406.10484 (2024) - [i108]Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu:
Long Context Transfer from Language to Vision. CoRR abs/2406.16852 (2024) - [i107]Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li:
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models. CoRR abs/2407.07895 (2024) - [i106]Kaichen Zhang, Bo Li, Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, Kairui Hu, Shuai Liu, Yuanhan Zhang, Jingkang Yang, Chunyuan Li, Ziwei Liu:
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models. CoRR abs/2407.12772 (2024) - [i105]Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li:
LLaVA-OneVision: Easy Visual Task Transfer. CoRR abs/2408.03326 (2024) - [i104]Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Chengzhuo Tong, Peng Gao, Chunyuan Li, Pheng-Ann Heng:
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners. CoRR abs/2408.16768 (2024) - [i103]Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li:
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines. CoRR abs/2409.12959 (2024) - [i102]Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li:
LLaVA-Critic: Learning to Evaluate Multimodal Models. CoRR abs/2410.02712 (2024) - [i101]Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun Ma, Ziwei Liu, Chunyuan Li:
Video Instruction Tuning With Synthetic Data. CoRR abs/2410.02713 (2024) - 2023
- [j15]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
:
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j14]Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1666-1680 (2023) - [c81]Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang:
Parameter-Efficient Model Adaptation for Vision Transformers. AAAI 2023: 817-825 - [c80]Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao:
Generalized Decoding for Pixel, Image, and Language. CVPR 2023: 15116-15127 - [c79]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR 2023: 15148-15158 - [c78]Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee:
GLIGEN: Open-Set Grounded Text-to-Image Generation. CVPR 2023: 22511-22521 - [c77]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) 2023: 11329-11344 - [c76]Ting Liu, Chunyuan Li:
Research on multi-factor quantitative investment strategy of SVM model based on machine learning. ICAICE 2023: 654-659 - [c75]Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang:
A Simple Framework for Open-Vocabulary Segmentation and Detection. ICCV 2023: 1020-1031 - [c74]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. NeurIPS 2023 - [c73]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS 2023 - [c72]Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee:
Visual Instruction Tuning. NeurIPS 2023 - [i100]Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee:
GLIGEN: Open-Set Grounded Text-to-Image Generation. CoRR abs/2301.07093 (2023) - [i99]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR abs/2301.07094 (2023) - [i98]Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang:
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection. CoRR abs/2303.05499 (2023) - [i97]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR abs/2303.07226 (2023) - [i96]Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang:
A Simple Framework for Open-Vocabulary Segmentation and Detection. CoRR abs/2303.08131 (2023) - [i95]Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao:
Instruction Tuning with GPT-4. CoRR abs/2304.03277 (2023) - [i94]Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee:
Visual Instruction Tuning. CoRR abs/2304.08485 (2023) - [i93]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen:
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR abs/2305.05644 (2023) - [i92]Yuliang Liu, Zhang Li, Hongliang Li, Wenwen Yu, Mingxin Huang, Dezhi Peng, Mingyu Liu, Mingrui Chen, Chunyuan Li, Lianwen Jin, Xiang Bai:
On the Hidden Mystery of OCR in Large Multimodal Models. CoRR abs/2305.07895 (2023) - [i91]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR abs/2306.00890 (2023) - [i90]Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Jingkang Yang, Chunyuan Li, Ziwei Liu:
MIMIC-IT: Multi-Modal In-Context Instruction Tuning. CoRR abs/2306.05425 (2023) - [i89]Chunyuan Li:
Large Multimodal Models: Notes on CVPR 2023 Tutorial. CoRR abs/2306.14895 (2023) - [i88]Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao:
Semantic-SAM: Segment and Recognize Anything at Any Granularity. CoRR abs/2307.04767 (2023) - [i87]Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu:
Benchmarking and Analyzing Generative Data for Visual Recognition. CoRR abs/2307.13697 (2023) - [i86]Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen:
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. CoRR abs/2309.09958 (2023) - [i85]Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao:
Multimodal Foundation Models: From Specialists to General-Purpose Assistants. CoRR abs/2309.10020 (2023) - [i84]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i83]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR abs/2310.02255 (2023) - [i82]Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee:
Improved Baselines with Visual Instruction Tuning. CoRR abs/2310.03744 (2023) - [i81]Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon:
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR abs/2310.10765 (2023) - [i80]Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao:
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V. CoRR abs/2310.11441 (2023) - [i79]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. CoRR abs/2310.15166 (2023) - [i78]Wei-Ge Chen, Irina Spiridonova, Jianwei Yang, Jianfeng Gao, Chunyuan Li:
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing. CoRR abs/2311.00571 (2023) - [i77]Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan Lavista Ferres:
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. CoRR abs/2311.01064 (2023) - [i76]Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. CoRR abs/2311.05437 (2023) - [i75]Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao:
Visual In-Context Prompting. CoRR abs/2311.13601 (2023) - [i74]Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang:
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. CoRR abs/2312.02949 (2023) - 2022
- [j13]Zhenxing Ji, Peihua Jiang, Haiyang Yi, Zhuang Zhuo, Chunyuan Li, Zhide Wu:
Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite. Entropy 24(6): 750 (2022) - [j12]Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao:
Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends. Found. Trends Comput. Graph. Vis. 14(3-4): 163-352 (2022) - [c71]Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang:
MoDNA: motif-oriented pre-training for DNA language model. BCB 2022: 5:1-5:5 - [c70]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CVPR 2022: 10955-10965 - [c69]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CVPR 2022: 16772-16782 - [c68]Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
Towards Language-Free Training for Text-to-Image Generation. CVPR 2022: 17886-17896 - [c67]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CVPR 2022: 19141-19151 - [c66]Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen:
STT: Soft Template Tuning for Few-Shot Adaptation. ICDM (Workshops) 2022: 941-946 - [c65]Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao:
Efficient Self-supervised Vision Transformers for Representation Learning. ICLR 2022 - [c64]Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. ICPR 2022: 4256-4262 - [c63]Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao:
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. NeurIPS 2022 - [c62]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022 - [c61]Jianwei Yang, Chunyuan Li, Xiyang Dai, Jianfeng Gao:
Focal Modulation Networks. NeurIPS 2022 - [i73]Jianwei Yang, Chunyuan Li, Jianfeng Gao:
Focal Modulation Networks. CoRR abs/2203.11926 (2022) - [i72]Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang:
Parameter-efficient Fine-tuning for Vision Transformers. CoRR abs/2203.16329 (2022) - [i71]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CoRR abs/2204.03610 (2022) - [i70]Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao:
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR abs/2204.08790 (2022) - [i69]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i68]Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen:
STT: Soft Template Tuning for Few-Shot Adaptation. CoRR abs/2207.08408 (2022) - [i67]Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao:
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends. CoRR abs/2210.09263 (2022) - [i66]Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu:
Lafite2: Few-shot Text-to-Image Generation. CoRR abs/2210.14124 (2022) - [i65]Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang:
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics. CoRR abs/2211.16632 (2022) - [i64]Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao:
Generalized Decoding for Pixel, Image, and Language. CoRR abs/2212.11270 (2022) - 2021
- [j11]Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching. Trans. Assoc. Comput. Linguistics 9: 907-824 (2021) - [c60]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. AAAI 2021: 10603-10611 - [c59]Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. ACL/IJCNLP (1) 2021: 4418-4429 - [c58]Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen:
ReMP: Rectified Metric Propagation for Few-Shot Learning. CVPR Workshops 2021: 2581-2590 - [c57]Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou:
Partition-Guided GANs. CVPR 2021: 5099-5109 - [c56]Ping Yu, Yang Zhao, Chunyuan Li, Changyou Chen:
Rethinking Sentiment Style Transfer. EMNLP (Findings) 2021: 1569-1582 - [c55]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: An Empirical Baseline Study. EMNLP (1) 2021: 10408-10423 - [c54]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV 2021: 9174-9183 - [c53]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Attention for Long-Range Interactions in Vision Transformers. NeurIPS 2021: 30008-30022 - [c52]Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. WWW 2021: 2858-2868 - [i63]Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen:
SDA: Improving Text Generation with Self Data Augmentation. CoRR abs/2101.03236 (2021) - [i62]Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. CoRR abs/2102.07279 (2021) - [i61]Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou:
Partition-Guided GANs. CoRR abs/2104.00816 (2021) - [i60]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Conditional Transport for Representation Learning. CoRR abs/2105.03746 (2021) - [i59]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2105.10843 (2021) - [i58]