Han Hu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 92

Top Topics

Semantic Segmentation

Object Detection

Top Venues

Publications

Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai
Side Adapter Network for Open-Vocabulary Semantic Segmentation. CoRR (2023)
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, Chunyu Wang, Yixuan Wei, Ze Liu, Houqiang Li, Han Hu
Human Pose as Compositional Tokens. CoRR (2023)
Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu
DeepMIM: Deep Supervision for Masked Image Modeling. CoRR (2023)
Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu, Yu-Gang Jiang
Implicit Temporal Modeling with Learnable Alignment for Video Recognition. CoRR (2023)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
Global Context Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (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)
Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang
ResFormer: Scaling ViTs with Multi-Resolution Training. CoRR (2022)
Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, Kun He
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. EMNLP (2022)
Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
Revealing the Dark Secrets of Masked Image Modeling. CoRR (2022)
Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. CoRR (2022)
Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS (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)
Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang
Attentive Mask CLIP. CoRR (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)
Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
Tutel: Adaptive Mixture-of-Experts at Scale. CoRR (2022)
Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu
MLSeg: Image and Video Segmentation as Multi-Label Classification and Selected-Label Pixel Classification. CoRR (2022)
Jiequan Cui, Yuhui Yuan, Zhisheng Zhong, Zhuotao Tian, Han Hu, Stephen Lin, Jiaya Jia
Region Rebalance for Long-Tailed Semantic Segmentation. CoRR (2022)
Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation. ECCV (24) (2022)
Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
SVFormer: Semi-supervised Video Transformer for Action 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. CVPR (2022)
Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu
A Simple Approach and Benchmark for 21, 000-Category Object Detection. ECCV (11) (2022)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu
On Data Scaling in Masked Image Modeling. CoRR (2022)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR (2022)
Chao Li, Jia Ning, Han Hu, Kun He
Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search. 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)
Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu-Gang Jiang
Deeper Insights into ViTs Robustness towards Common Corruptions. CoRR (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)
Ding Jia, Yuhui Yuan, Haodi He, Xiaopei Wu, Haojun Yu, Weihong Lin, Lei Sun, Chao Zhang, Han Hu
DETRs with Hybrid Matching. 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)
Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
Aligning Pretraining for Detection via Object-Level Contrastive Learning. NeurIPS (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)
Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. 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. NeurIPS (2021)
Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. 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)
Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
Aligning Pretraining for Detection via Object-Level Contrastive Learning. 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)
Jindong Gu, Volker Tresp, Han Hu
Capsule Network Is Not More Robust Than Convolutional Network. CVPR (2021)
Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He
Boosting Adversarial Transferability through Enhanced Momentum. BMVC (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)
Jindong Gu, Volker Tresp, Han Hu
Capsule Network is Not More Robust than Convolutional Network. CoRR (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)
Cheng Chi, Fangyun Wei, Han Hu
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder. 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)
Cheng Chi, Fangyun Wei, Han Hu
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder. CoRR (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)
Yihong Chen, Yue Cao, Han Hu, Liwei Wang
Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR (2020)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
Global Context Networks. CoRR (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, Yue Cao, Han Hu, Liwei Wang
Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints V2: Verification Meets Regression for Object Detection. CoRR (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, 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, Han Hu, Stephen Lin, Jifeng Dai
Deformable ConvNets V2: More Deformable, Better Results. CVPR (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)
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
Deep Metric Transfer for Label Propagation with Limited Annotated Data. ICCV Workshops (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)
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
RepPoints: Point Set Representation for Object Detection. ICCV (2019)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. ICCV Workshops (2019)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. CoRR (2019)
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin
RepPoints: Point Set Representation for Object Detection. CoRR (2019)
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei
Relation Networks for Object Detection. CVPR (2018)
Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai
Learning Region Features for Object Detection. ECCV (12) (2018)
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
Deep Metric Transfer for Label Propagation with Limited Annotated Data. CoRR (2018)
Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai
Learning Region Features for Object Detection. CoRR (2018)
Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
Deformable ConvNets v2: More Deformable, Better Results. CoRR (2018)
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei
Relation Networks for Object Detection. CoRR (2017)
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei
Deformable Convolutional Networks. ICCV (2017)
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei
Deformable Convolutional Networks. CoRR (2017)