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Journal Articles
- 2012
[j1]Yanwu Gao, Bin Zhang, Lili Gan, Bingchen Zhao:
The Hardware Solution of a New Image Processing Algorithm. Int. J. Adv. Pervasive Ubiquitous Comput. 4(2): 41-47 (2012)
Conference and Workshop Papers
- 2024
- [c23]Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Yongshuo Zong, Xin Wen, Bingchen Zhao:
What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. CVPR 2024: 21853-21862 - [c22]Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu:
Beyond the Known: Novel Class Discovery for Open-World Graph Learning. DASFAA (6) 2024: 117-133 - [c21]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. ECCV (51) 2024: 37-55 - [c20]Fernando Julio Cendra
, Bingchen Zhao, Kai Han:
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery. ECCV (4) 2024: 188-205 - [c19]Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. ECCV (38) 2024: 239-258 - [c18]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. ICLR 2024 - [c17]Yu Wang, Bingchen Zhao, Yongchun Lu, Guoqiang Xiao, Quan Lu:
Debiased Prototypical Learning Improves Generalized Category Discovery. ICME 2024: 1-6 - [c16]Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales:
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. ICML 2024 - 2023
- [c15]Xin Wen, Bingchen Zhao, Xiaojuan Qi:
Parametric Classification for Generalized Category Discovery: A Baseline Study. ICCV 2023: 16544-16554 - [c14]Bingchen Zhao, Xin Wen, Kai Han:
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. ICCV 2023: 16577-16587 - [c13]Bingchen Zhao, Oisin Mac Aodha:
Incremental Generalized Category Discovery. ICCV 2023: 19080-19090 - [c12]Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Bingchen Zhao:
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. ICCV (Workshops) 2023: 4631-4635 - 2022
- [c11]Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao:
XCon: Learning with Experts for Fine-grained Category Discovery. BMVC 2022: 96 - [c10]Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie:
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective. ECCV (26) 2022: 20-37 - [c9]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. ECCV (8) 2022: 163-180 - [c8]Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi:
Self-Supervised Visual Representation Learning with Semantic Grouping. NeurIPS 2022 - 2021
- [c7]Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen:
Improving Contrastive Learning by Visualizing Feature Transformation. ICCV 2021: 10286-10295 - [c6]Bingchen Zhao, Kai Han:
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. NeurIPS 2021: 22982-22994 - [c5]Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue:
Temporal Context Aggregation for Video Retrieval with Contrastive Learning. WACV 2021: 3267-3277 - 2020
- [c4]Xinyue Zhang, Meng Wang, Bingchen Zhao, Ruyang Liu, Jingyuan Zhang, Han Yang:
Characterizing Robotic and Organic Query in SPARQL Search Sessions. APWeb/WAIM (1) 2020: 270-285 - [c3]Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang:
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. CVPR Workshops 2020: 206-211 - [c2]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c1]Bingchen Zhao, Xin Wen:
Distilling Visual Priors from Self-Supervised Learning. ECCV Workshops (2) 2020: 422-429
Informal and Other Publications
- 2024
- [i35]Siwei Yang, Bingchen Zhao, Cihang Xie:
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability. CoRR abs/2402.09404 (2024) - [i34]Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu:
Beyond the Known: Novel Class Discovery for Open-world Graph Learning. CoRR abs/2403.19907 (2024) - [i33]Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - [i32]Ye Wang, Yaxiong Wang, Yujiao Wu, Bingchen Zhao, Xueming Qian:
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery. CoRR abs/2404.08995 (2024) - [i31]Mude Hui, Siwei Yang, Bingchen Zhao, Yichun Shi, Heng Wang, Peng Wang, Yuyin Zhou, Cihang Xie:
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing. CoRR abs/2404.09990 (2024) - [i30]Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi:
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights. CoRR abs/2405.21070 (2024) - [i29]Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha:
Labeled Data Selection for Category Discovery. CoRR abs/2406.04898 (2024) - [i28]Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie:
What If We Recaption Billions of Web Images with LLaMA-3? CoRR abs/2406.08478 (2024) - [i27]Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales:
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. CoRR abs/2406.12742 (2024) - [i26]Fernando Julio Cendra, Bingchen Zhao, Kai Han:
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery. CoRR abs/2407.19001 (2024) - [i25]Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang:
Contextuality Helps Representation Learning for Generalized Category Discovery. CoRR abs/2407.19752 (2024) - [i24]Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou:
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR abs/2409.15277 (2024) - 2023
- [i23]Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang:
Vision Learners Meet Web Image-Text Pairs. CoRR abs/2301.07088 (2023) - [i22]Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski:
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. CoRR abs/2304.10266 (2023) - [i21]Bingchen Zhao, Oisin Mac Aodha:
Incremental Generalized Category Discovery. CoRR abs/2304.14310 (2023) - [i20]Bingchen Zhao, Xin Wen, Kai Han:
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. CoRR abs/2305.06144 (2023) - [i19]Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie:
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. CoRR abs/2309.07120 (2023) - [i18]Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales:
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR abs/2310.01651 (2023) - [i17]Letian Zhang, Xiaotong Zhai, Zhongkai Zhao, Xin Wen, Yongshuo Zong, Bingchen Zhao:
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. CoRR abs/2310.06627 (2023) - [i16]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. CoRR abs/2311.16101 (2023) - [i15]Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie:
Compress & Align: Curating Image-Text Data with Human Knowledge. CoRR abs/2312.06726 (2023) - [i14]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. CoRR abs/2312.11420 (2023) - 2022
- [i13]Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Jiajun Liang, Boyan Zhou, Osamu Yoshie:
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective. CoRR abs/2203.03871 (2022) - [i12]Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi:
Self-Supervised Visual Representation Learning with Semantic Grouping. CoRR abs/2205.15288 (2022) - [i11]Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao:
XCon: Learning with Experts for Fine-grained Category Discovery. CoRR abs/2208.01898 (2022) - [i10]Xin Wen, Bingchen Zhao, Xiaojuan Qi:
A Simple Parametric Classification Baseline for Generalized Category Discovery. CoRR abs/2211.11727 (2022) - [i9]Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra:
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks. CoRR abs/2211.12424 (2022) - 2021
- [i8]Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang:
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. CoRR abs/2106.03088 (2021) - [i7]Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao:
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection. CoRR abs/2106.14366 (2021) - [i6]Bingchen Zhao, Kai Han:
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. CoRR abs/2107.03358 (2021) - [i5]Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen:
Improving Contrastive Learning by Visualizing Feature Transformation. CoRR abs/2108.02982 (2021) - [i4]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. CoRR abs/2111.14341 (2021) - 2020
- [i3]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i2]Bingchen Zhao, Xin Wen:
Distilling Visual Priors from Self-Supervised Learning. CoRR abs/2008.00261 (2020) - [i1]Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue:
Context Encoding for Video Retrieval with Contrastive Learning. CoRR abs/2008.01334 (2020)
Coauthor Index
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