Zheng Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 63

Top Topics

Semantic Segmentation

Image Classification

Visual Recognition

Object Detection

Top Venues

Publications

Zheng Zhang, Yeyao Ma, Enming Zhang, Xiang Bai
PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model. CoRR (2024)
Bolin Ni, Jingcheng Hu, Yixuan Wei, Houwen Peng, Zheng Zhang, Gaofeng Meng, Han Hu
Xwin-LM: Strong and Scalable Alignment Practice for LLMs. CoRR (2024)
Chen Li, Weiqi Wang, Jingcheng Hu, Yixuan Wei, Nanning Zheng, Han Hu, Zheng Zhang, Houwen Peng
Common 7B Language Models Already Possess Strong Math Capabilities. CoRR (2024)
Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models. CoRR (2023)
Jia Ning, Chen Li, Zheng Zhang, Zigang Geng, Qi Dai, Kun He, Han Hu
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. CoRR (2023)
Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Han Hu, Dong Chen, Baining Guo
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks. CoRR (2023)
Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
Revealing the Dark Secrets of Masked Image Modeling. CVPR (2023)
Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. CVPR (2023)
Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. CoRR (2022)
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
Video Swin Transformer. CVPR (2022)
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS (2022)
Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
Revealing the Dark Secrets of Masked Image Modeling. CoRR (2022)
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
Could Giant Pretrained Image Models Extract Universal Representations? CoRR (2022)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. ECCV (24) (2022)
Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu
Exploring Discrete Diffusion Models for Image Captioning. CoRR (2022)
Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR (2022)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu
On Data Scaling in Masked Image Modeling. CoRR (2022)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu
SimMIM: a Simple Framework for Masked Image Modeling. CVPR (2022)
Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo
iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. CoRR (2022)
Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR (2021)
Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. CoRR (2021)
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
Group-Free 3D Object Detection via Transformers. CoRR (2021)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu
SimMIM: A Simple Framework for Masked Image Modeling. CoRR (2021)
Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu
Self-Supervised Learning with Swin Transformers. CoRR (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Bootstrap Your Object Detector via Mixed Training. CoRR (2021)
Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu
End-to-End Semi-Supervised Object Detection with Soft Teacher. ICCV (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Bootstrap Your Object Detector via Mixed Training. NeurIPS (2021)
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
Video Swin Transformer. CoRR (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. CoRR (2021)
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV (2021)
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. CoRR (2021)
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
Group-Free 3D Object Detection via Transformers. ICCV (2021)
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CVPR (2021)
Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu
End-to-End Semi-Supervised Object Detection with Soft Teacher. CoRR (2021)
Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu
Leveraging Batch Normalization for Vision Transformers. ICCVW (2021)
Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS (2020)
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR (2020)
Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
Dense RepPoints: Representing Visual Objects with Dense Point Sets. ECCV (21) (2020)
Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. ECCV (23) (2020)
Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
Parametric Instance Classification for Unsupervised Visual Feature Learning. CoRR (2020)
Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. CoRR (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints V2: Verification Meets Regression for Object Detection. CoRR (2020)
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) (2020)
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
Disentangled Non-local Neural Networks. ECCV (15) (2020)
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR (2020)
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR (2020)
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
Negative Margin Matters: Understanding Margin in Few-Shot Classification. ECCV (4) (2020)
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
Disentangled Non-Local Neural Networks. CoRR (2020)
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. CoRR (2019)
Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin
Local Relation Networks for Image Recognition. CoRR (2019)
Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu
Dense RepPoints: Representing Visual Objects with Dense Point Sets. CoRR (2019)
Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin
Local Relation Networks for Image Recognition. ICCV (2019)
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
Spatial-Temporal Relation Networks for Multi-Object Tracking. ICCV (2019)
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
Spatial-Temporal Relation Networks for Multi-Object Tracking. CoRR (2019)
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
An Empirical Study of Spatial Attention Mechanisms in Deep Networks. ICCV (2019)
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei
Relation Networks for Object Detection. CVPR (2018)
Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection. CoRR (2018)
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei
Relation Networks for Object Detection. CoRR (2017)
Xiang Bai, Zheng Zhang, Hong-Yang Wang, Wei Shen
Directional Edge Boxes: Exploiting Inner Normal Direction Cues for Effective Object Proposal Generation. J. Comput. Sci. Technol. 32 (4) (2017)
Zheng Zhang, Chengquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai
Multi-oriented Text Detection with Fully Convolutional Networks. CVPR (2016)
Xuelei Zhang, Zheng Zhang, Chengquan Zhang, Xiang Bai
Symmetry-based object proposal for text detection. ICPR (2016)
Zheng Zhang, Chengquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai
Multi-Oriented Text Detection with Fully Convolutional Networks. CoRR (2016)
Zheng Zhang, Wei Shen, Cong Yao, Xiang Bai
Symmetry-based text line detection in natural scenes. CVPR (2015)