Symmetry-based text line detection in natural scenes. - Zheng Zhang 022; Wei Shen 002; Cong Yao; Xiang Bai (CVPR, 2015)

Multi-oriented Text Detection with Fully Convolutional Networks. - Zheng Zhang 022; Chengquan Zhang; Wei Shen 002; Cong Yao; Wenyu Liu 001; Xiang Bai (CVPR, 2016)

Symmetry-based object proposal for text detection. - Xuelei Zhang; Zheng Zhang 022; Chengquan Zhang; Xiang Bai (ICPR, 2016)

Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation. - Xiang Bai; Zheng Zhang 022; Hongyang Wang; Wei Shen 002 (J. Comput. Sci. Technol., 2017)

Relation Networks for Object Detection. - Han Hu 001; Jiayuan Gu; Zheng Zhang 022; Jifeng Dai; Yichen Wei (CVPR, 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. - Zheng Zhang 022; Dazhi Cheng; Xizhou Zhu; Stephen Lin 001; Jifeng Dai (CoRR, 2018)

Local Relation Networks for Image Recognition. - Han Hu 001; Zheng Zhang 022; Zhenda Xie; Stephen Lin 001 (ICCV, 2019)

Spatial-Temporal Relation Networks for Multi-Object Tracking. - Jiarui Xu; Yue Cao 001; Zheng Zhang 022; Han Hu 001 (ICCV, 2019)

An Empirical Study of Spatial Attention Mechanisms in Deep Networks. - Xizhou Zhu; Dazhi Cheng; Zheng Zhang 022; Stephen Lin 001; Jifeng Dai (ICCV, 2019)

Negative Margin Matters: Understanding Margin in Few-Shot Classification. - Bin Liu 035; Yue Cao 001; Yutong Lin; Qi Li; Zheng Zhang 022; Mingsheng Long; Han Hu 001 (ECCV (4), 2020)

A Closer Look at Local Aggregation Operators in Point Cloud Analysis. - Ze Liu; Han Hu 001; Yue Cao 001; Zheng Zhang 022; Xin Tong 001 (ECCV (23), 2020)

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. - Zhenda Xie; Zheng Zhang 022; Xizhou Zhu; Gao Huang 001; Stephen Lin 001 (ECCV (1), 2020)

Dense RepPoints: Representing Visual Objects with Dense Point Sets. - Ze Yang 003; Yinghao Xu 001; Han Xue; Zheng Zhang 022; Raquel Urtasun; Liwei Wang 001; Stephen Lin 001; Han Hu 001 (ECCV (21), 2020)

Disentangled Non-local Neural Networks. - Minghao Yin; Zhuliang Yao; Yue Cao 001; Xiu Li 001; Zheng Zhang 022; Stephen Lin 001; Han Hu 001 (ECCV (15), 2020)

Parametric Instance Classification for Unsupervised Visual Feature learning. - Yue Cao 001; Zhenda Xie; Bin Liu 035; Yutong Lin; Zheng Zhang 022; Han Hu 001 (NeurIPS, 2020)

RepPoints v2: Verification Meets Regression for Object Detection. - Yihong Chen; Zheng Zhang 022; Yue Cao 001; Liwei Wang 001; Stephen Lin 001; Han Hu 001 (NeurIPS, 2020)

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. - Zhenda Xie; Yutong Lin; Zheng Zhang 022; Yue Cao 001; Stephen Lin 001; Han Hu 001 (CVPR, 2021)

Group-Free 3D Object Detection via Transformers. - Ze Liu; Zheng Zhang 022; Yue Cao 001; Han Hu 001; Xin Tong 001 (ICCV, 2021)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. - Ze Liu; Yutong Lin; Yue Cao 001; Han Hu 001; Yixuan Wei; Zheng Zhang 022; Stephen Lin 001; Baining Guo (ICCV, 2021)

End-to-End Semi-Supervised Object Detection with Soft Teacher. - Mengde Xu; Zheng Zhang 022; Han Hu 001; Jianfeng Wang; Lijuan Wang; Fangyun Wei; Xiang Bai; Zicheng Liu 001 (ICCV, 2021)

Leveraging Batch Normalization for Vision Transformers. - Zhuliang Yao; Yue Cao 001; Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001 (ICCVW, 2021)

Bootstrap Your Object Detector via Mixed Training. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Stephen Lin 001; Han Hu 001; Xiang Bai (NeurIPS, 2021)

Self-Supervised Learning with Swin Transformers. - Zhenda Xie; Yutong Lin; Zhuliang Yao; Zheng Zhang 022; Qi Dai 001; Yue Cao 001; Han Hu 001 (CoRR, 2021)

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. - Yansong Tang; Zhenyu Jiang 002; Zhenda Xie; Yue Cao 001; Zheng Zhang 022; Philip H. S. Torr; Han Hu 001 (CoRR, 2021)

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Han Hu 001; Xiang Bai (CoRR, 2021)

Swin Transformer V2: Scaling Up Capacity and Resolution. - Ze Liu; Han Hu 001; Yutong Lin; Zhuliang Yao; Zhenda Xie; Yixuan Wei; Jia Ning; Yue Cao 001; Zheng Zhang 022; Li Dong 004; Furu Wei; Baining Guo (CVPR, 2022)

Video Swin Transformer. - Ze Liu; Jia Ning; Yue Cao 001; Yixuan Wei; Zheng Zhang 022; Stephen Lin 001; Han Hu 001 (CVPR, 2022)

SimMIM: a Simple Framework for Masked Image Modeling. - Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Yutong Lin; Jianmin Bao; Zhuliang Yao; Qi Dai 001; Han Hu 001 (CVPR, 2022)

A Simple Approach and Benchmark for 21, 000-Category Object Detection. - Yutong Lin; Chen Li; Yue Cao 001; Zheng Zhang 022; Jianfeng Wang; Lijuan Wang; Zicheng Liu 001; Han Hu 001 (ECCV (11), 2022)

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Han Hu 001; Xiang Bai (ECCV (29), 2022)

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. - Weicong Liang; Yuhui Yuan; Henghui Ding; Xiao Luo 001; Weihong Lin; Ding Jia; Zheng Zhang 022; Chao Zhang 001; Han Hu 001 (NeurIPS, 2022)

Could Giant Pre-trained Image Models Extract Universal Representations? - Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001; Nanning Zheng 001; Stephen Lin 001; Yue Cao 001 (NeurIPS, 2022)

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. - Yixuan Wei; Yue Cao 001; Zheng Zhang 022; Zhuliang Yao; Zhenda Xie; Han Hu 001; Baining Guo (CoRR, 2022)

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. - Yixuan Wei; Han Hu 001; Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Jianmin Bao; Dong Chen 003; Baining Guo (CoRR, 2022)

Could Giant Pretrained Image Models Extract Universal Representations? - Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001; Nanning Zheng 001; Stephen Lin 001; Yue Cao 001 (CoRR, 2022)

Exploring Discrete Diffusion Models for Image Captioning. - Zixin Zhu; Yixuan Wei; Jianfeng Wang; Zhe Gan; Zheng Zhang 022; Le Wang 003; Gang Hua 001; Lijuan Wang; Zicheng Liu 001; Han Hu 001 (CoRR, 2022)

TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. - Sucheng Ren; Fangyun Wei; Zheng Zhang 022; Han Hu 001 (CVPR, 2023)

iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. - Yixuan Wei; Yue Cao 001; Zheng Zhang 022; Houwen Peng; Zhuliang Yao; Zhenda Xie; Han Hu 001; Baining Guo (CVPR, 2023)

Revealing the Dark Secrets of Masked Image Modeling. - Zhenda Xie; Zigang Geng; Jingcheng Hu; Zheng Zhang 022; Han Hu 001; Yue Cao 001 (CVPR, 2023)

On Data Scaling in Masked Image Modeling. - Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Yutong Lin; Yixuan Wei; Qi Dai 001; Han Hu 001 (CVPR, 2023)

Side Adapter Network for Open-Vocabulary Semantic Segmentation. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Han Hu 001; Xiang Bai (CVPR, 2023)

DETR Does Not Need Multi-Scale or Locality Design. - Yutong Lin; Yuhui Yuan; Zheng Zhang 022; Chen Li; Nanning Zheng 001; Han Hu 001 (ICCV, 2023)

All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. - Jia Ning; Chen Li; Zheng Zhang 022; Chunyu Wang 001; Zigang Geng; Qi Dai 001; Kun He 001; Han Hu 001 (ICCV, 2023)

Improving CLIP Fine-tuning Performance. - Yixuan Wei; Han Hu 001; Zhenda Xie; Ze Liu; Zheng Zhang 022; Yue Cao 001; Jianmin Bao; Dong Chen 003; Baining Guo (ICCV, 2023)

All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. - Jia Ning; Chen Li; Zheng Zhang 022; Zigang Geng; Qi Dai 001; Kun He 001; Han Hu 001 (CoRR, 2023)

DeepMIM: Deep Supervision for Masked Image Modeling. - Sucheng Ren; Fangyun Wei; Samuel Albanie; Zheng Zhang 022; Han Hu 001 (CoRR, 2023)

DETR Doesn't Need Multi-Scale or Locality Design. - Yutong Lin; Yuhui Yuan; Zheng Zhang 022; Chen Li; Nanning Zheng 001; Han Hu 001 (CoRR, 2023)

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. - Zigang Geng; Binxin Yang; Tiankai Hang; Chen Li; Shuyang Gu; Ting Zhang 002; Jianmin Bao; Zheng Zhang 022; Han Hu 001; Dong Chen 003; Baining Guo (CoRR, 2023)

FP8-LM: Training FP8 Large Language Models. - Houwen Peng; Kan Wu; Yixuan Wei; Guoshuai Zhao; Yuxiang Yang; Ze Liu; Yifan Xiong 001; Ziyue Yang; Bolin Ni; Jingcheng Hu; Ruihang Li; Miaosen Zhang; et al. (CoRR, 2023)

SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Han Hu 001; Xiang Bai (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. - Zigang Geng; Binxin Yang; Tiankai Hang; Chen Li; Shuyang Gu; Ting Zhang 002; Jianmin Bao; Zheng Zhang 022; Houqiang Li; Han Hu 001; Dong Chen 003; Baining Guo (CVPR, 2024)

Segment and Caption Anything. - Xiaoke Huang; Jianfeng Wang; Yansong Tang; Zheng Zhang 022; Han Hu 001; Jiwen Lu; Lijuan Wang; Zicheng Liu 001 (CVPR, 2024)

PSALM: Pixelwise SegmentAtion with Large Multi-modal Model. - Zheng Zhang 022; Yeyao Ma; Enming Zhang; Xiang Bai (ECCV (34), 2024)

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms. - Miaosen Zhang; Yixuan Wei; Zhen Xing; Yifei Ma; Zuxuan Wu; Ji Li 006; Zheng Zhang 022; Qi Dai 001; Chong Luo; Xin Geng 001; Baining Guo (NeurIPS, 2024)

Common 7B Language Models Already Possess Strong Math Capabilities. - Chen Li; Weiqi Wang; Jingcheng Hu; Yixuan Wei; Nanning Zheng 001; Han Hu 001; Zheng Zhang 022; Houwen Peng (CoRR, 2024)

Xwin-LM: Strong and Scalable Alignment Practice for LLMs. - Bolin Ni; Jingcheng Hu; Yixuan Wei; Houwen Peng; Zheng Zhang 022; Gaofeng Meng; Han Hu 001 (CoRR, 2024)