Bingchen Zhao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 50

Top Topics

Surface Defects

Gaussian Mixture

Human Knowledge

Top Venues

Publications

Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. ICLR (2024)
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 (2024)
Siwei Yang, Bingchen Zhao, Cihang Xie
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability. CoRR (2024)
Fernando Julio Cendra, Bingchen Zhao, Kai Han
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery. CoRR (2024)
Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights. CoRR (2024)
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 (2024)
Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha
Labeled Data Selection for Category Discovery. CoRR (2024)
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 (2024)
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 (2024)
Ye Wang, Yaxiong Wang, Yujiao Wu, Bingchen Zhao, Xueming Qian
Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery. CoRR (2024)
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 (2024)
Tingzhang Luo, Mingxuan Du, Jiatao Shi, Xinxiang Chen, Bingchen Zhao, Shaoguang Huang
Contextuality Helps Representation Learning for Generalized Category Discovery. CoRR (2024)
Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang
Vision Learners Meet Web Image-Text Pairs. CoRR (2023)
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 (2023)
Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR (2023)
Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie
Compress & Align: Curating Image-Text Data with Human Knowledge. CoRR (2023)
Xin Wen, Bingchen Zhao, Xiaojuan Qi
Parametric Classification for Generalized Category Discovery: A Baseline Study. ICCV (2023)
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 (2023)
Bingchen Zhao, Oisin Mac Aodha
Incremental Generalized Category Discovery. ICCV (2023)
Bingchen Zhao, Oisin Mac Aodha
Incremental Generalized Category Discovery. CoRR (2023)
Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. CoRR (2023)
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 (2023)
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)
Bingchen Zhao, Xin Wen, Kai Han
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. ICCV (2023)
Bingchen Zhao, Xin Wen, Kai Han
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. CoRR (2023)
Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. CoRR (2023)
Xin Wen, Bingchen Zhao, Xiaojuan Qi
A Simple Parametric Classification Baseline for Generalized Category Discovery. CoRR (2022)
Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi
Self-Supervised Visual Representation Learning with Semantic Grouping. CoRR (2022)
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)
Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao
XCon: Learning with Experts for Fine-grained Category Discovery. CoRR (2022)
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 (2022)
Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi
Self-Supervised Visual Representation Learning with Semantic Grouping. NeurIPS (2022)
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)
Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao
XCon: Learning with Experts for Fine-grained Category Discovery. BMVC (2022)
Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks. CoRR (2022)
Bingchen Zhao, Kai Han
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. CoRR (2021)
Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen
Improving Contrastive Learning by Visualizing Feature Transformation. ICCV (2021)
Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue
Temporal Context Aggregation for Video Retrieval with Contrastive Learning. WACV (2021)
Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen
Improving Contrastive Learning by Visualizing Feature Transformation. CoRR (2021)
Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection. CoRR (2021)
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. CoRR (2021)
Bingchen Zhao, Kai Han
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. NeurIPS (2021)
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 (2021)
Bingchen Zhao, Xin Wen
Distilling Visual Priors from Self-Supervised Learning. CoRR (2020)
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. CVPR Workshops (2020)
Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue
Context Encoding for Video Retrieval with Contrastive Learning. CoRR (2020)
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)
Bingchen Zhao, Xin Wen
Distilling Visual Priors from Self-Supervised Learning. ECCV Workshops (2) (2020)
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)
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 (2020)
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) (2012)