Multiframe Motion Segmentation via Penalized MAP Estimation and Linear Programming. - Han Hu 001; Quanquan Gu; Lei Deng; Jie Zhou 001 (BMVC, 2009)

Trajectory matching from unsynchronized videos. - Han Hu 001; Jie Zhou 001 (CVPR, 2010)

HTF: a novel feature for general crack detection. - Han Hu 001; Quanquan Gu; Jie Zhou 001 (ICIP, 2010)

Video Stabilization and Completion Using Two Cameras. - Jie Zhou 001; Han Hu 001; Dingrui Wan (IEEE Trans. Circuits Syst. Video Technol., 2011)

Multi-way constrained spectral clustering by nonnegative restriction. - Han Hu 001; Jiahuan Zhou; Jianjiang Feng; Jie Zhou 001 (ICPR, 2012)

Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation. - Han Hu 001; Jianjiang Feng; Chuan Yu; Jie Zhou 001 (IEEE Trans. Image Process., 2013)

Smooth Representation Clustering. - Han Hu 001; Zhouchen Lin; Jianjiang Feng; Jie Zhou 001 (CVPR, 2014)

Progressive feature matching via triplet graph. - Chuan Yu; Lu Tian; Han Hu 001; Yueqi Duan; Jie Zhou 001 (ICIP, 2015)

Exploiting Unsupervised and Supervised Constraints for Subspace Clustering. - Han Hu 001; Jianjiang Feng; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Depth Estimation Using a Sliding Camera. - Kailin Ge; Han Hu 001; Jianjiang Feng; Jie Zhou 001 (IEEE Trans. Image Process., 2016)

Deformable Convolutional Networks. - Jifeng Dai; Haozhi Qi; Yuwen Xiong; Yi Li 038; Guodong Zhang; Han Hu 001; Yichen Wei (ICCV, 2017)

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

Learning Region Features for Object Detection. - Jiayuan Gu; Han Hu 001; Liwei Wang 001; Yichen Wei; Jifeng Dai (ECCV (12), 2018)

Deformable ConvNets V2: More Deformable, Better Results. - Xizhou Zhu; Han Hu 001; Stephen Lin 001; Jifeng Dai (CVPR, 2019)

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)

RepPoints: Point Set Representation for Object Detection. - Ze Yang 003; Shaohui Liu; Han Hu 001; Liwei Wang 001; Stephen Lin 001 (ICCV, 2019)

GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. - Yue Cao 001; Jiarui Xu; Stephen Lin 001; Fangyun Wei; Han Hu 001 (ICCV Workshops, 2019)

Deep Metric Transfer for Label Propagation with Limited Annotated Data. - Bin Liu 035; Zhirong Wu; Han Hu 001; Stephen Lin 001 (ICCV Workshops, 2019)

Memory Enhanced Global-Local Aggregation for Video Object Detection. - Yihong Chen; Yue Cao 001; Han Hu 001; Liwei Wang 001 (CVPR, 2020)

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)

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)

RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder. - Cheng Chi; Fangyun Wei; Han Hu 001 (NeurIPS, 2020)

Boosting Adversarial Transferability through Enhanced Momentum. - Xiaosen Wang; Jiadong Lin; Han Hu 001; Jingdong Wang 001; Kun He 001 (BMVC, 2021)

Capsule Network Is Not More Robust Than Convolutional Network. - Jindong Gu; Volker Tresp; Han Hu 001 (CVPR, 2021)

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)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning. - Hanzhe Hu; Fangyun Wei; Han Hu 001; Qiwei Ye; Jinshi Cui; Liwei Wang 001 (NeurIPS, 2021)

Aligning Pretraining for Detection via Object-Level Contrastive Learning. - Fangyun Wei; Yue Gao; Zhirong Wu; Han Hu 001; Stephen Lin 001 (NeurIPS, 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)

RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation. - Haodi He; Yuhui Yuan; Xiangyu Yue 001; Han Hu 001 (ECCV (29), 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)

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. - Haohai Sun; Shangyi Geng; Jialun Zhong; Han Hu 001; Kun He 001 (EMNLP, 2022)

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. - Zhiwei Hao; Jianyuan Guo; Ding Jia; Kai Han 002; Yehui Tang; Chao Zhang 001; Han Hu 001; Yunhe Wang 001 (NeurIPS, 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)

MLSeg: Image and Video Segmentation as Multi-Label Classification and Selected-Label Pixel Classification. - Haodi He; Yuhui Yuan; Xiangyu Yue 001; Han Hu 001 (CoRR, 2022)

Region Rebalance for Long-Tailed Semantic Segmentation. - Jiequan Cui; Yuhui Yuan; Zhisheng Zhong; Zhuotao Tian; Han Hu 001; Stephen Lin 001; Jiaya Jia (CoRR, 2022)

Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search. - Chao Li 068; Jia Ning; Han Hu 001; Kun He 001 (CoRR, 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)

Deeper Insights into ViTs Robustness towards Common Corruptions. - Rui Tian; Zuxuan Wu; Qi Dai 001; Han Hu 001; Yu-Gang Jiang 001 (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)

Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. - Jindong Gu; Fangyun Wei; Philip H. S. Torr; Han Hu 001 (BMVC, 2023)

Human Pose as Compositional Tokens. - Zigang Geng; Chunyu Wang 001; Yixuan Wei; Ze Liu; Houqiang Li; Han Hu 001 (CVPR, 2023)

DETRs with Hybrid Matching. - Ding Jia; Yuhui Yuan; Haodi He; Xiaopei Wu; Haojun Yu; Weihong Lin; Lei Sun 003; Chao Zhang 001; Han Hu 001 (CVPR, 2023)

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention. - Xinyu Liu 001; Houwen Peng; Ningxin Zheng; Yuqing Yang 001; Han Hu 001; Yixuan Yuan (CVPR, 2023)

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

ResFormer: Scaling ViTs with Multi-Resolution Training. - Rui Tian; Zuxuan Wu; Qi Dai 001; Han Hu 001; Yu Qiao 001; Yu-Gang Jiang 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)

SVFormer: Semi-supervised Video Transformer for Action Recognition. - Zhen Xing; Qi Dai 001; Han Hu 001; Jingjing Chen 001; Zuxuan Wu; Yu-Gang Jiang 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)

Efficient Diffusion Training via Min-SNR Weighting Strategy. - Tiankai Hang; Shuyang Gu; Chen Li; Jianmin Bao; Dong Chen 003; Han Hu 001; Xin Geng 001; Baining Guo (ICCV, 2023)

Mask-Attention-Free Transformer for 3D Instance Segmentation. - Xin Lai; Yuhui Yuan; Ruihang Chu; Yukang Chen; Han Hu 001; Jiaya Jia (ICCV, 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)

Implicit Temporal Modeling with Learnable Alignment for Video Recognition. - Shuyuan Tu; Qi Dai 001; Zuxuan Wu; Zhi-Qi Cheng; Han Hu 001; Yu-Gang Jiang 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)

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. - Kan Wu; Houwen Peng; Zhenghong Zhou; Bin Xiao 004; Mengchen Liu; Lu Yuan; Hong Xuan; Michael Valenzuela; Xi Stephen Chen; Xinggang Wang; Hongyang Chao; Han Hu 001 (ICCV, 2023)

Attentive Mask CLIP. - Yifan Yang 004; Weiquan Huang; Yixuan Wei; Houwen Peng; Xinyang Jiang; Huiqiang Jiang; Fangyun Wei; Yin Wang; Han Hu 001; Lili Qiu; Yuqing Yang 001 (ICCV, 2023)

ClipCrop: Conditioned Cropping Driven by Vision-Language Model. - Zhihang Zhong; Mingxi Cheng; Zhirong Wu; Yuhui Yuan; Yinqiang Zheng; Ji Li 006; Han Hu 001; Stephen Lin 001; Yoichi Sato 001; Imari Sato (ICCV (Workshops), 2023)

Tutel: Adaptive Mixture-of-Experts at Scale. - Changho Hwang; Wei Cui; Yifan Xiong 001; Ziyue Yang; Ze Liu; Han Hu 001; Zilong Wang; Rafael Salas; Jithin Jose; Prabhat Ram; Joe Chau; Peng Cheng 005; et al. (MLSys, 2023)

Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (NeurIPS, 2023)

One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Yehui Tang; Han Hu 001; Yunhe Wang 001; Chang Xu 002 (NeurIPS, 2023)

Rank-DETR for High Quality Object Detection. - Yifan Pu; Weicong Liang; Yiduo Hao; Yuhui Yuan; Yukang Yang; Chao Zhang 001; Han Hu 001; Gao Huang 001 (NeurIPS, 2023)

ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. - Yasheng Sun; Yifan Yang 004; Houwen Peng; Yifei Shen; Yuqing Yang 001; Han Hu 001; Lili Qiu; Hideki Koike (NeurIPS, 2023)

GlyphControl: Glyph Conditional Control for Visual Text Generation. - Yukang Yang; Dongnan Gui; Yuhui Yuan; Weicong Liang; Haisong Ding; Han Hu 001; Kai Chen 001 (NeurIPS, 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)

VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. - Zhiwei Hao; Jianyuan Guo; Kai Han 002; Han Hu 001; Chang Xu 002; Yunhe Wang 001 (CoRR, 2023)

GlyphControl: Glyph Conditional Control for Visual Text Generation. - Yukang Yang; Dongnan Gui; Yuhui Yuan; Haisong Ding; Han Hu 001; Kai Chen 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)

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. - Kan Wu; Houwen Peng; Zhenghong Zhou; Bin Xiao 004; Mengchen Liu; Lu Yuan; Hong Xuan; Michael Valenzuela; Xi Chen; Xinggang Wang; Hongyang Chao; Han Hu 001 (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)

VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models. - Zhen Xing; Qi Dai 001; Zihao Zhang; Hui Zhang 090; Han Hu 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2023)

Global Context Networks. - Yue Cao 001; Jiarui Xu; Stephen Lin 001; Fangyun Wei; Han Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Multiple View Geometry Transformers for 3D Human Pose Estimation. - Ziwei Liao; Jialiang Zhu; Chunyu Wang 001; Han Hu 001; Steven L. Waslander (CVPR, 2024)

MotionEditor: Editing Video Motion via Content-Aware Diffusion. - Shuyuan Tu; Qi Dai 001; Zhi-Qi Cheng; Han Hu 001; Xintong Han; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2024)

SimDA: Simple Diffusion Adapter for Efficient Video Generation. - Zhen Xing; Qi Dai 001; Han Hu 001; Zuxuan Wu; Yu-Gang Jiang 001 (CVPR, 2024)

ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws. - Ruihang Li; Yixuan Wei; Miaosen Zhang; Nenghai Yu; Han Hu 001; Houwen Peng (EMNLP, 2024)

V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection. - Yichao Shen 001; Zigang Geng; Yuhui Yuan; Yutong Lin; Ze Liu; Chunyu Wang 001; Han Hu 001; Nanning Zheng 001; Baining Guo (ICLR, 2024)

GAIA: Zero-shot Talking Avatar Generation. - Tianyu He; Junliang Guo; Runyi Yu 002; Yuchi Wang; Jialiang Zhu; Kaikai An; Leyi Li; Xu Tan 003; Chunyu Wang 001; Han Hu 001; HsiangTao Wu; Sheng Zhao; et al. (ICLR, 2024)

Data-efficient Large Vision Models through Sequential Autoregression. - Zhiwei Hao; Jianyuan Guo; Chengcheng Wang; Yehui Tang; Han Wu 009; Han Hu 001; Kai Han 002; Chang Xu 002 (ICML, 2024)

LarvSeg: Exploring Image Classification Data for Large Vocabulary Semantic Segmentation via Category-Wise Attentive Classifier. - Haojun Yu; Di Dai; Ziwei Zhao 001; Di He 001; Han Hu 001; Liwei Wang 001 (PRCV (1), 2024)

Unsupervised Graphic Layout Grouping with Transformers. - Jialiang Zhu; Danqing Huang; Chunyu Wang 001; Mingxi Cheng; Ji Li 006; Han Hu 001; Xin Geng 001; Baining Guo (WACV, 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)

Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning. - Yuhui Yuan; Weicong Liang; Henghui Ding; Zhanhao Liang; Chao Zhang 001; Han Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

The Role of ViT Design and Training in Robustness to Common Corruptions. - Rui Tian; Zuxuan Wu; Qi Dai 001; Micah Goldblum; Han Hu 001; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2025)

A Survey on Video Diffusion Models. - Zhen Xing; Qijun Feng; Haoran Chen; Qi Dai 001; Han Hu 001; Hang Xu 004; Zuxuan Wu; Yu-Gang Jiang 001 (ACM Comput. Surv., 2025)

Tokenize Image as a Set. - Zigang Geng; Mengde Xu; Han Hu 001; Shuyang Gu (CoRR, 2025)

Equivariant Image Modeling. - Ruixiao Dong; Mengde Xu; Zigang Geng; Li Li; Han Hu 001; Shuyang Gu (CoRR, 2025)

Optimal Stepsize for Diffusion Sampling. - Jianning Pei; Han Hu 001; Shuyang Gu (CoRR, 2025)

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. - Meng-Hao Guo; Jiajun Xu; Yi Zhang 099; Jiaxi Song; Haoyang Peng; Yi-Xuan Deng; Xinzhi Dong; Kiyohiro Nakayama; Zhengyang Geng; Chen Wang 049; Bolin Ni; Guo-Wei Yang; et al. (CoRR, 2025)

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs. - Meng-Hao Guo; Xuanyu Chu; Qianrui Yang; Zhe-Han Mo; Yiqing Shen 005; Pei-lin Li; Xinjie Lin; Jinnian Zhang; Xin-Sheng Chen; Yi Zhang 099; Kiyohiro Nakayama; Zhengyang Geng; et al. (CoRR, 2025)

Adaptive Channel Allocation for Robust Differentiable Architecture Search. - Chao Li 068; Jia Ning; Han Hu 001; Kun He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again. - Zigang Geng; Yibing Wang; Yeyao Ma; Chen Li; Yongming Rao; Shuyang Gu; Zhao Zhong; Qinglin Lu; Han Hu 001; Xiaosong Zhang; Linus; Di Wang; et al. (CoRR, 2025)