Distilling Visual Priors from Self-Supervised Learning. - Bingchen Zhao; Xin Wen 004 (ECCV Workshops (2), 2020)

Context Encoding for Video Retrieval with Contrastive Learning. - Jie Shao 006; Xin Wen 004; Bingchen Zhao; Changhu Wang; Xiangyang Xue 001 (CoRR, 2020)

Temporal Context Aggregation for Video Retrieval with Contrastive Learning. - Jie Shao 006; Xin Wen 004; Bingchen Zhao; Xiangyang Xue 001 (WACV, 2021)

Self-Supervised Visual Representation Learning with Semantic Grouping. - Xin Wen 004; Bingchen Zhao; Anlin Zheng; Xiangyu Zhang 005; Xiaojuan Qi 001 (NeurIPS, 2022)

A Simple Parametric Classification Baseline for Generalized Category Discovery. - Xin Wen 004; Bingchen Zhao; Xiaojuan Qi 001 (CoRR, 2022)

Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning. - Xiaoyang Wu 002; Xin Wen 004; Xihui Liu; Hengshuang Zhao (CVPR, 2023)

Parametric Classification for Generalized Category Discovery: A Baseline Study. - Xin Wen 004; Bingchen Zhao; Xiaojuan Qi 001 (ICCV, 2023)

Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. - Bingchen Zhao; Xin Wen 004; Kai Han 001 (ICCV, 2023)

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. - Letian Zhang; Xiaotong Zhai; Zhongkai Zhao; Xin Wen 004; Bingchen Zhao (ICCV (Workshops), 2023)

CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. - Chuofan Ma; Yi Jiang 004; Xin Wen 004; Zehuan Yuan; Xiaojuan Qi 001 (NeurIPS, 2023)

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. - Jiequan Cui; Beier Zhu; Xin Wen 004; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang (CVPR, 2024)

Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training. - Xiaoyang Wu 002; Zhuotao Tian; Xin Wen 004; Bohao Peng; Xihui Liu; Kaicheng Yu; Hengshuang Zhao (CVPR, 2024)

What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models. - Letian Zhang; Xiaotong Zhai; Zhongkai Zhao; Yongshuo Zong; Xin Wen 004; Bingchen Zhao (CVPR, 2024)

Can OOD Object Detectors Learn from Foundation Models? - Jiahui Liu 012; Xin Wen 004; Shizhen Zhao; Yingxian Chen; Xiaojuan Qi 001 (ECCV (12), 2024)

What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights. - Xin Wen 004; Bingchen Zhao; Yilun Chen; Jiangmiao Pang; Xiaojuan Qi 001 (NeurIPS, 2024)

Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights. - Xin Wen 004; Bingchen Zhao; Yilun Chen; Jiangmiao Pang; Xiaojuan Qi 001 (CoRR, 2024)

Granularity Matters in Long-Tail Learning. - Shizhen Zhao; Xin Wen 004; Jiahui Liu 012; Chuofan Ma; Chunfeng Yuan; Xiaojuan Qi 001 (CoRR, 2024)

A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning. - Xin Wen 004; Bingchen Zhao; Yilun Chen; Jiangmiao Pang; Xiaojuan Qi 001 (CVPR, 2025)

Learning from Neighbors: Category Extrapolation for Long-Tail Learning. - Shizhen Zhao; Xin Wen 004; Jiahui Liu 012; Chuofan Ma; Chunfeng Yuan; Xiaojuan Qi 001 (CVPR, 2025)

"Principal Components" Enable A New Language of Images. - Xin Wen 004; Bingchen Zhao; Ismail Elezi; Jiankang Deng; Xiaojuan Qi 001 (CoRR, 2025)

Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation. - Anlin Zheng; Xin Wen 004; Xuanyang Zhang; Chuofan Ma; Tiancai Wang; Gang Yu 002; Xiangyu Zhang 005; Xiaojuan Qi 001 (CoRR, 2025)