ML Anthology

He, Kaiming

61 publications

TMLR 2026 Denoising Hamiltonian Network for Physical Reasoning Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas Guibas, Kaiming He
ICLR 2025 A Decade's Battle on Dataset Bias: Are We There yet? Zhuang Liu, Kaiming He
ICLR 2025 Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
ICLR 2025 Fluid: Scaling Autoregressive Text-to-Image Generative Models with Continuous Tokens Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
TMLR 2025 Fractal Generative Models Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He
ICML 2025 Highly Compressed Tokenizer Can Generate Without Training Lukas Lao Beyer, Tianhong Li, Xinlei Chen, Sertac Karaman, Kaiming He
ICML 2025 Is Noise Conditioning Necessary for Denoising Generative Models? Qiao Sun, Zhicheng Jiang, Hanhong Zhao, Kaiming He
NeurIPS 2025 Mean Flows for One-Step Generative Modeling Zhengyang Geng, Mingyang Deng, Xingjian Bai, J Zico Kolter, Kaiming He
ICLR 2025 TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik
CVPR 2025 Transformers Without Normalization Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu
NeurIPS 2024 Autoregressive Image Generation Without Vector Quantization Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
NeurIPS 2024 Physically Compatible 3D Object Modeling from a Single Image Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik
NeurIPS 2024 Return of Unconditional Generation: A Self-Supervised Representation Generation Method Tianhong Li, Dina Katabi, Kaiming He
NeurIPS 2024 Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-Trained Transformers Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
CVPR 2023 Scaling Language-Image Pre-Training via Masking Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
ECCV 2022 Exploring Plain Vision Transformer Backbones for Object Detection Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He
CVPR 2022 Masked Autoencoders Are Scalable Vision Learners Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick
NeurIPS 2022 Masked Autoencoders as Spatiotemporal Learners Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
CVPR 2021 A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, Kaiming He
ICCV 2021 An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen, Saining Xie, Kaiming He
CVPR 2021 Exploring Simple Siamese Representation Learning Xinlei Chen, Kaiming He
ECCV 2020 Are Labels Necessary for Neural Architecture Search? Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie
ICML 2020 Graph Structure of Neural Networks Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
ECCV 2018 Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
NeurIPS 2018 GLoMo: Unsupervised Learning of Transferable Relational Graphs Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
ECCV 2018 Group Normalization Yuxin Wu, Kaiming He
CVPR 2017 Aggregated Residual Transformations for Deep Neural Networks Saining Xie, Ross Girshick, Piotr Dollar, Zhuowen Tu, Kaiming He
CVPR 2017 Feature Pyramid Networks for Object Detection Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
ICCV 2017 Focal Loss for Dense Object Detection Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar
ICCV 2017 Mask R-CNN Kaiming He, Georgia Gkioxari, Piotr Dollar, Ross Girshick
ICCV 2017 Transitive Invariance for Self-Supervised Visual Representation Learning Xiaolong Wang, Kaiming He, Abhinav Gupta
CVPR 2016 Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
ECCV 2016 Identity Mappings in Deep Residual Networks Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
CVPR 2016 Instance-Aware Semantic Segmentation via Multi-Task Network Cascades Jifeng Dai, Kaiming He, Jian Sun
ECCV 2016 Instance-Sensitive Fully Convolutional Networks Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun
ECCV 2016 Is Faster R-CNN Doing Well for Pedestrian Detection? Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He
NeurIPS 2016 R-FCN: Object Detection via Region-Based Fully Convolutional Networks Jifeng Dai, Yi Li, Kaiming He, Jian Sun
CVPR 2016 ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
CVPR 2015 A Geodesic-Preserving Method for Image Warping Dongping Li, Kaiming He, Jian Sun, Kun Zhou
ICCV 2015 BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation Jifeng Dai, Kaiming He, Jian Sun
CVPR 2015 Convolutional Feature Masking for Joint Object and Stuff Segmentation Jifeng Dai, Kaiming He, Jian Sun
CVPR 2015 Convolutional Neural Networks at Constrained Time Cost Kaiming He, Jian Sun
ICCV 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
CVPR 2015 Efficient and Accurate Approximations of Nonlinear Convolutional Networks Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun
NeurIPS 2015 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun
CVPR 2015 Sparse Projections for High-Dimensional Binary Codes Yan Xia, Kaiming He, Pushmeet Kohli, Jian Sun
ECCV 2014 Graph Cuts for Supervised Binary Coding Tiezheng Ge, Kaiming He, Jian Sun
ECCV 2014 Learning a Deep Convolutional Network for Image Super-Resolution Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
CVPR 2014 Product Sparse Coding Tiezheng Ge, Kaiming He, Jian Sun
ECCV 2014 Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
ICCV 2013 Constant Time Weighted Median Filtering for Stereo Matching and Beyond Ziyang Ma, Kaiming He, Yichen Wei, Jian Sun, Enhua Wu
ICCV 2013 Content-Aware Rotation Kaiming He, Huiwen Chang, Jian Sun
ICCV 2013 Joint Inverted Indexing Yan Xia, Kaiming He, Fang Wen, Jian Sun
CVPR 2013 K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes Kaiming He, Fang Wen, Jian Sun
CVPR 2013 Optimized Product Quantization for Approximate Nearest Neighbor Search Tiezheng Ge, Kaiming He, Qifa Ke, Jian Sun
CVPR 2012 Computing Nearest-Neighbor Fields via Propagation-Assisted KD-Trees Kaiming He, Jian Sun
ECCV 2012 Statistics of Patch Offsets for Image Completion Kaiming He, Jian Sun
CVPR 2011 A Global Sampling Method for Alpha Matting Kaiming He, Christoph Rhemann, Carsten Rother, Xiaoou Tang, Jian Sun
CVPR 2010 Fast Matting Using Large Kernel Matting Laplacian Matrices Kaiming He, Jian Sun, Xiaoou Tang
ECCV 2010 Guided Image Filtering Kaiming He, Jian Sun, Xiaoou Tang
CVPR 2009 Single Image Haze Removal Using Dark Channel Prior Kaiming He, Jian Sun, Xiaoou Tang