Kaiming He - RankMe

170 papers A* 61Journal 95Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Denoising Hamiltonian Network for Physical Reasoning. Trans. Mach. Learn. Res. Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas J. Guibas, Kaiming He
2026	J	`jnl`	Generative Modeling via Drifting. CoRR Mingyang Deng, He Li, Tianhong Li, Yilun Du, Kaiming He
2026	J	`jnl`	GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training. CoRR Haixu Wu, Minghao Guo, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik
2026	J	`jnl`	KT-LLM: an evidence-grounded and sequence text framework for auditable kidney transplant modeling. npj Digit. Medicine Haofeng Zheng, Zihuan Luo, Kaiming He, Wangtianxu Zhou, Zhiyi Kong, Jieyi Dong, Qingfu Dai, Qiquan Sun
2026	J	`jnl`	One-step Latent-free Image Generation with Pixel Mean Flows. CoRR Yiyang Lu, Susie Lu, Qiao Sun, Hanhong Zhao, Zhicheng Jiang, Xianbang Wang, Tianhong Li, Zhengyang Geng, Kaiming He
2025	A*	`conf`	A Decade's Battle on Dataset Bias: Are We There Yet? ICLR Zhuang Liu, Kaiming He
2025	J	`jnl`	ARC Is a Vision Problem! CoRR Keya Hu, Ali Cy, Linlu Qiu, Xiaoman Delores Ding, Runqian Wang, Yeyin Eva Zhu, Jacob Andreas, Kaiming He
2025	J	`jnl`	Back to Basics: Let Denoising Generative Models Denoise. CoRR Tianhong Li, Kaiming He
2025	J	`jnl`	Bidirectional Normalizing Flow: From Data to Noise and Back. CoRR Yiyang Lu, Qiao Sun, Xianbang Wang, Zhicheng Jiang, Hanhong Zhao, Kaiming He
2025	A*	`conf`	Deconstructing Denoising Diffusion Models for Self-Supervised Learning. ICLR Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
2025	J	`jnl`	Denoising Hamiltonian Network for Physical Reasoning. CoRR Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas J. Guibas, Kaiming He
2025	J	`jnl`	Diffuse and Disperse: Image Generation with Representation Regularization. CoRR Runqian Wang, Kaiming He
2025	A*	`conf`	Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. ICLR Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
2025	J	`jnl`	Fractal Generative Models. CoRR Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He
2025	J	`jnl`	Fractal Generative Models. Trans. Mach. Learn. Res. Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He
2025	A*	`conf`	Highly Compressed Tokenizer Can Generate Without Training. ICML Lukas Lao Beyer, Tianhong Li, Xinlei Chen, Sertac Karaman, Kaiming He
2025	J	`jnl`	Highly Compressed Tokenizer Can Generate Without Training. CoRR L. Lao Beyer, Tianhong Li, Xinlei Chen, Sertac Karaman, Kaiming He
2025	J	`jnl`	Improved Mean Flows: On the Challenges of Fastforward Generative Models. CoRR Zhengyang Geng, Yiyang Lu, Zongze Wu, Eli Shechtman, J. Zico Kolter, Kaiming He
2025	A*	`conf`	Is Noise Conditioning Necessary for Denoising Generative Models? ICML Qiao Sun, Zhicheng Jiang, Hanhong Zhao, Kaiming He
2025	J	`jnl`	Is Noise Conditioning Necessary for Denoising Generative Models? CoRR Qiao Sun, Zhicheng Jiang, Hanhong Zhao, Kaiming He
2025	J	`jnl`	Mean Flows for One-step Generative Modeling. CoRR Zhengyang Geng, Mingyang Deng, Xingjian Bai, J. Zico Kolter, Kaiming He
2025	A*	`conf`	TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes. ICLR Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik
2025	A*	`conf`	Transformers without Normalization. CVPR Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu
2025	J	`jnl`	Transformers without Normalization. CoRR Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu
2024	J	`jnl`	A Decade's Battle on Dataset Bias: Are We There Yet? CoRR Zhuang Liu, Kaiming He
2024	A*	`conf`	Autoregressive Image Generation without Vector Quantization. NeurIPS Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
2024	J	`jnl`	Autoregressive Image Generation without Vector Quantization. CoRR Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
2024	J	`jnl`	Deconstructing Denoising Diffusion Models for Self-Supervised Learning. CoRR Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
2024	J	`jnl`	Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning. CoRR Linsen Li, Pratyush Anand, Kaiming He, Dirk R. Englund
2024	J	`jnl`	Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens. CoRR Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
2024	A*	`conf`	Physically Compatible 3D Object Modeling from a Single Image. NeurIPS Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Josh Tenenbaum, Kaiming He, Wojciech Matusik
2024	J	`jnl`	Physically Compatible 3D Object Modeling from a Single Image. CoRR Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik
2024	A*	`conf`	Return of Unconditional Generation: A Self-supervised Representation Generation Method. NeurIPS Tianhong Li, Dina Katabi, Kaiming He
2024	A*	`conf`	Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers. NeurIPS Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
2024	J	`jnl`	Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers. CoRR Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
2024	J	`jnl`	TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes. CoRR Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik
2023	A*	`conf`	Scaling Language-Image Pre-Training via Masking. CVPR Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
2023	J	`jnl`	Self-conditioned Image Generation via Generating Representations. CoRR Tianhong Li, Dina Katabi, Kaiming He
2022	—	`conf`	Exploring Plain Vision Transformer Backbones for Object Detection. ECCV (9) Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He
2022	J	`jnl`	Exploring Plain Vision Transformer Backbones for Object Detection. CoRR Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He
2022	A*	`conf`	Masked Autoencoders Are Scalable Vision Learners. CVPR Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
2022	A*	`conf`	Masked Autoencoders As Spatiotemporal Learners. NeurIPS Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
2022	J	`jnl`	Masked Autoencoders As Spatiotemporal Learners. CoRR Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
2022	J	`jnl`	POI recommendation based on a multiple bipartite graph network model. J. Supercomput. Chen Lang, Ze Wang, Kaiming He, Shimin Sun
2022	J	`jnl`	Scaling Language-Image Pre-training via Masking. CoRR Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
2021	A*	`conf`	A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CVPR Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
2021	J	`jnl`	A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CoRR Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
2021	A*	`conf`	An Empirical Study of Training Self-Supervised Vision Transformers. ICCV Xinlei Chen, Saining Xie, Kaiming He
2021	J	`jnl`	An Empirical Study of Training Self-Supervised Vision Transformers. CoRR Xinlei Chen, Saining Xie, Kaiming He
2021	J	`jnl`	Benchmarking Detection Transfer Learning with Vision Transformers. CoRR Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick
2021	A*	`conf`	Exploring Simple Siamese Representation Learning. CVPR Xinlei Chen, Kaiming He
2021	J	`jnl`	Masked Autoencoders Are Scalable Vision Learners. CoRR Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick
2020	A*	`conf`	A Multigrid Method for Efficiently Training Video Models. CVPR Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
2020	—	`conf`	Are Labels Necessary for Neural Architecture Search? ECCV (4) Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020	J	`jnl`	Are Labels Necessary for Neural Architecture Search? CoRR Chenxi Liu, Piotr Dollár, Kaiming He, Ross B. Girshick, Alan L. Yuille, Saining Xie
2020	A*	`conf`	Designing Network Design Spaces. CVPR Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	J	`jnl`	Designing Network Design Spaces. CoRR Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	J	`jnl`	Exploring Simple Siamese Representation Learning. CoRR Xinlei Chen, Kaiming He
2020	J	`jnl`	Focal Loss for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	A*	`conf`	Graph Structure of Neural Networks. ICML Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
2020	J	`jnl`	Graph Structure of Neural Networks. CoRR Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
2020	J	`jnl`	Group Normalization. Int. J. Comput. Vis. Yuxin Wu, Kaiming He
2020	J	`jnl`	Improved Baselines with Momentum Contrastive Learning. CoRR Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He
2020	J	`jnl`	Mask R-CNN. IEEE Trans. Pattern Anal. Mach. Intell. Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
2020	A*	`conf`	Momentum Contrast for Unsupervised Visual Representation Learning. CVPR Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2020	A*	`conf`	PointRend: Image Segmentation As Rendering. CVPR Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
2019	J	`jnl`	A Multigrid Method for Efficiently Training Video Models. CoRR Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
2019	A*	`conf`	Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
2019	J	`jnl`	Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
2019	A*	`conf`	Exploring Randomly Wired Neural Networks for Image Recognition. ICCV Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
2019	J	`jnl`	Exploring Randomly Wired Neural Networks for Image Recognition. CoRR Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
2019	A*	`conf`	Feature Denoising for Improving Adversarial Robustness. CVPR Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He
2019	A*	`conf`	Long-Term Feature Banks for Detailed Video Understanding. CVPR Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
2019	J	`jnl`	Momentum Contrast for Unsupervised Visual Representation Learning. CoRR Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2019	A*	`conf`	Panoptic Feature Pyramid Networks. CVPR Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
2019	J	`jnl`	Panoptic Feature Pyramid Networks. CoRR Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
2019	A*	`conf`	Panoptic Segmentation. CVPR Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
2019	J	`jnl`	PointRend: Image Segmentation as Rendering. CoRR Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
2019	A*	`conf`	Rethinking ImageNet Pre-Training. ICCV Kaiming He, Ross B. Girshick, Piotr Dollár
2019	A*	`conf`	SlowFast Networks for Video Recognition. ICCV Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
2019	A*	`conf`	TensorMask: A Foundation for Dense Object Segmentation. ICCV Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
2019	J	`jnl`	TensorMask: A Foundation for Dense Object Segmentation. CoRR Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár
2018	A*	`conf`	Data Distillation: Towards Omni-Supervised Learning. CVPR Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
2018	A*	`conf`	Detecting and Recognizing Human-Object Interactions. CVPR Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
2018	—	`conf`	Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2018	J	`jnl`	Exploring the Limits of Weakly Supervised Pretraining. CoRR Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2018	J	`jnl`	Feature Denoising for Improving Adversarial Robustness. CoRR Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He
2018	A*	`conf`	GLoMo: Unsupervised Learning of Transferable Relational Graphs. NeurIPS Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	J	`jnl`	GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. CoRR Zhilin Yang, Junbo Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
2018	—	`conf`	Group Normalization. ECCV (13) Yuxin Wu, Kaiming He
2018	J	`jnl`	Group Normalization. CoRR Yuxin Wu, Kaiming He
2018	A*	`conf`	Learning to Segment Every Thing. CVPR Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
2018	J	`jnl`	Long-Term Feature Banks for Detailed Video Understanding. CoRR Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
2018	A*	`conf`	Non-Local Neural Networks. CVPR Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He
2018	J	`jnl`	Panoptic Segmentation. CoRR Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
2018	J	`jnl`	Rethinking ImageNet Pre-training. CoRR Kaiming He, Ross B. Girshick, Piotr Dollár
2018	J	`jnl`	SlowFast Networks for Video Recognition. CoRR Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
2017	J	`jnl`	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
2017	A*	`conf`	Aggregated Residual Transformations for Deep Neural Networks. CVPR Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2017	J	`jnl`	Data Distillation: Towards Omni-Supervised Learning. CoRR Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He
2017	J	`jnl`	Detecting and Recognizing Human-Object Interactions. CoRR Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He
2017	J	`jnl`	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE Trans. Pattern Anal. Mach. Intell. Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun
2017	A*	`conf`	Feature Pyramid Networks for Object Detection. CVPR Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
2017	A*	`conf`	Focal Loss for Dense Object Detection. ICCV Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2017	J	`jnl`	Focal Loss for Dense Object Detection. CoRR Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, Piotr Dollár
2017	J	`jnl`	Learning to Segment Every Thing. CoRR Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick
2017	A*	`conf`	Mask R-CNN. ICCV Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
2017	J	`jnl`	Mask R-CNN. CoRR Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross B. Girshick
2017	J	`jnl`	Non-local Neural Networks. CoRR Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He
2017	J	`jnl`	Object Detection Networks on Convolutional Feature Maps. IEEE Trans. Pattern Anal. Mach. Intell. Shaoqing Ren, Kaiming He, Ross B. Girshick, Xiangyu Zhang, Jian Sun
2017	A*	`conf`	Transitive Invariance for Self-Supervised Visual Representation Learning. ICCV Xiaolong Wang, Kaiming He, Abhinav Gupta
2017	J	`jnl`	Transitive Invariance for Self-supervised Visual Representation Learning. CoRR Xiaolong Wang, Kaiming He, Abhinav Gupta
2016	J	`jnl`	Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Trans. Pattern Anal. Mach. Intell. Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun
2016	J	`jnl`	Aggregated Residual Transformations for Deep Neural Networks. CoRR Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He
2016	A*	`conf`	Deep Residual Learning for Image Recognition. CVPR Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2016	J	`jnl`	Feature Pyramid Networks for Object Detection. CoRR Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie
2016	—	`conf`	Identity Mappings in Deep Residual Networks. ECCV (4) Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2016	J	`jnl`	Identity Mappings in Deep Residual Networks. CoRR Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2016	J	`jnl`	Image Super-Resolution Using Deep Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
2016	A*	`conf`	Instance-Aware Semantic Segmentation via Multi-task Network Cascades. CVPR Jifeng Dai, Kaiming He, Jian Sun
2016	—	`conf`	Instance-Sensitive Fully Convolutional Networks. ECCV (6) Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun
2016	J	`jnl`	Instance-sensitive Fully Convolutional Networks. CoRR Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun
2016	—	`conf`	Is Faster R-CNN Doing Well for Pedestrian Detection? ECCV (2) Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He
2016	J	`jnl`	Is Faster R-CNN Doing Well for Pedestrian Detection? CoRR Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He
2016	—	`conf`	R-FCN: Object Detection via Region-based Fully Convolutional Networks. NIPS Jifeng Dai, Yi Li, Kaiming He, Jian Sun
2016	J	`jnl`	R-FCN: Object Detection via Region-based Fully Convolutional Networks. CoRR Jifeng Dai, Yi Li, Kaiming He, Jian Sun
2016	A*	`conf`	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. CVPR Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
2016	J	`jnl`	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation. CoRR Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun
2015	A*	`conf`	A geodesic-preserving method for image warping. CVPR Dongping Li, Kaiming He, Jian Sun, Kun Zhou
2015	J	`jnl`	Accelerating Very Deep Convolutional Networks for Classification and Detection. CoRR Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun
2015	A*	`conf`	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation. ICCV Jifeng Dai, Kaiming He, Jian Sun
2015	J	`jnl`	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation. CoRR Jifeng Dai, Kaiming He, Jian Sun
2015	A*	`conf`	Convolutional feature masking for joint object and stuff segmentation. CVPR Jifeng Dai, Kaiming He, Jian Sun
2015	A*	`conf`	Convolutional neural networks at constrained time cost. CVPR Kaiming He, Jian Sun
2015	J	`jnl`	Deep Residual Learning for Image Recognition. CoRR Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2015	A*	`conf`	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. ICCV Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2015	J	`jnl`	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. CoRR Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2015	A*	`conf`	Efficient and accurate approximations of nonlinear convolutional networks. CVPR Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun
2015	J	`jnl`	Fast Guided Filter. CoRR Kaiming He, Jian Sun
2015	—	`conf`	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. NIPS Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun
2015	J	`jnl`	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. CoRR Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun
2015	J	`jnl`	Image Super-Resolution Using Deep Convolutional Networks. CoRR Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
2015	J	`jnl`	Instance-aware Semantic Segmentation via Multi-task Network Cascades. CoRR Jifeng Dai, Kaiming He, Jian Sun
2015	J	`jnl`	Object Detection Networks on Convolutional Feature Maps. CoRR Shaoqing Ren, Kaiming He, Ross B. Girshick, Xiangyu Zhang, Jian Sun
2015	A*	`conf`	Sparse projections for high-dimensional binary codes. CVPR Yan Xia, Kaiming He, Pushmeet Kohli, Jian Sun
2015	J	`jnl`	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2014	J	`jnl`	Convolutional Feature Masking for Joint Object and Stuff Segmentation. CoRR Jifeng Dai, Kaiming He, Jian Sun
2014	J	`jnl`	Convolutional Neural Networks at Constrained Time Cost. CoRR Kaiming He, Jian Sun
2014	J	`jnl`	Efficient and Accurate Approximations of Nonlinear Convolutional Networks. CoRR Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun
2014	—	`conf`	Graph Cuts for Supervised Binary Coding. ECCV (7) Tiezheng Ge, Kaiming He, Jian Sun
2014	J	`jnl`	Image Completion Approaches Using the Statistics of Similar Patches. IEEE Trans. Pattern Anal. Mach. Intell. Kaiming He, Jian Sun
2014	—	`conf`	Learning a Deep Convolutional Network for Image Super-Resolution. ECCV (4) Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang
2014	J	`jnl`	Optimized Product Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Tiezheng Ge, Kaiming He, Qifa Ke, Jian Sun
2014	A*	`conf`	Product Sparse Coding. CVPR Tiezheng Ge, Kaiming He, Jian Sun
2014	—	`conf`	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. ECCV (3) Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2014	J	`jnl`	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. CoRR Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
2013	A*	`conf`	Constant Time Weighted Median Filtering for Stereo Matching and Beyond. ICCV Ziyang Ma, Kaiming He, Yichen Wei, Jian Sun, Enhua Wu
2013	A*	`conf`	Content-Aware Rotation. ICCV Kaiming He, Huiwen Chang, Jian Sun
2013	J	`jnl`	Guided Image Filtering. IEEE Trans. Pattern Anal. Mach. Intell. Kaiming He, Jian Sun, Xiaoou Tang
2013	A*	`conf`	Joint Inverted Indexing. ICCV Yan Xia, Kaiming He, Fang Wen, Jian Sun
2013	A*	`conf`	K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes. CVPR Kaiming He, Fang Wen, Jian Sun
2013	A*	`conf`	Optimized Product Quantization for Approximate Nearest Neighbor Search. CVPR Tiezheng Ge, Kaiming He, Qifa Ke, Jian Sun
2013	J	`jnl`	Rectangling panoramic images via warping. ACM Trans. Graph. Kaiming He, Huiwen Chang, Jian Sun
2012	A*	`conf`	Computing nearest-neighbor fields via Propagation-Assisted KD-Trees. CVPR Kaiming He, Jian Sun
2012	—	`conf`	Statistics of Patch Offsets for Image Completion. ECCV (2) Kaiming He, Jian Sun
2011	A*	`conf`	A global sampling method for alpha matting. CVPR Kaiming He, Christoph Rhemann, Carsten Rother, Xiaoou Tang, Jian Sun
2011	J	`jnl`	Single Image Haze Removal Using Dark Channel Prior. IEEE Trans. Pattern Anal. Mach. Intell. Kaiming He, Jian Sun, Xiaoou Tang
2010	A*	`conf`	Fast matting using large kernel matting Laplacian matrices. CVPR Kaiming He, Jian Sun, Xiaoou Tang
2010	—	`conf`	Guided Image Filtering. ECCV (1) Kaiming He, Jian Sun, Xiaoou Tang
2009	A*	`conf`	Single image haze removal using dark channel prior. CVPR Kaiming He, Jian Sun, Xiaoou Tang