Kaiming He

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All published works

Action	Title	Year	Authors
+ PDF Chat	Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens	2024	Lijie Fan Tianhong Li Siyang Qin Yuanzhen Li Chen Sun Michael Rubinstein Deqing Sun Kaiming He Yonglong Tian
+ PDF Chat	Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers	2024	Lirui Wang Xinlei Chen Jialiang Zhao Kaiming He
+ PDF Chat	Autoregressive Image Generation without Vector Quantization	2024	Tianhong Li Yonglong Tian Li He Mingyang Deng Kaiming He
+ PDF Chat	TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes	2024	Minghao Guo Bohan Wang Kaiming He Wojciech Matusik
+ PDF Chat	Physically Compatible 3D Object Modeling from a Single Image	2024	Minghao Guo Bohan Wang Pingchuan Ma Tianyuan Zhang Crystal E. Owens Chuang Gan Joshua B. Tenenbaum Kaiming He Wojciech Matusik
+ PDF Chat	Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning	2024	Linsen Li Pratyush Anand Kaiming He Dirk Englund
+	Deconstructing Denoising Diffusion Models for Self-Supervised Learning	2024	Xinlei Chen Zhuang Liu Saining Xie Kaiming He
+ PDF Chat	Scaling Language-Image Pre-Training via Masking	2023	Yanghao Li Haoqi Fan Ronghang Hu Christoph Feichtenhofer Kaiming He
+	Self-conditioned Image Generation via Generating Representations	2023	Tianhong Li Dina Katabi Kaiming He
+ PDF Chat	Masked Autoencoders Are Scalable Vision Learners	2022	Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross Girshick
+	Exploring Plain Vision Transformer Backbones for Object Detection	2022	Yanghao Li Hanzi Mao Ross Girshick Kaiming He
+	Masked Autoencoders As Spatiotemporal Learners	2022	Christoph Feichtenhofer Haoqi Fan Yanghao Li Kaiming He
+	Scaling Language-Image Pre-training via Masking	2022	Yanghao Li Haoqi Fan Ronghang Hu Christoph Feichtenhofer Kaiming He
+ PDF Chat	Exploring Plain Vision Transformer Backbones for Object Detection	2022	Yanghao Li Hanzi Mao Ross Girshick Kaiming He
+ PDF Chat	Masked Autoencoders Are Scalable Vision Learners	2021	Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross Girshick
+ PDF Chat	An Empirical Study of Training Self-Supervised Vision Transformers	2021	Xinlei Chen Saining Xie Kaiming He
+ PDF Chat	A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning	2021	Christoph Feichtenhofer Haoqi Fan Bo Xiong Ross Girshick Kaiming He
+ PDF Chat	Exploring Simple Siamese Representation Learning	2021	Xinlei Chen Kaiming He
+	A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning	2021	Christoph Feichtenhofer Haoqi Fan Bo Xiong Ross Girshick Kaiming He
+	An Empirical Study of Training Self-Supervised Vision Transformers	2021	Xinlei Chen Saining Xie Kaiming He
+	Masked Autoencoders Are Scalable Vision Learners	2021	Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross Girshick
+	Benchmarking Detection Transfer Learning with Vision Transformers	2021	Yanghao Li Saining Xie Xinlei Chen Piotr Dollár Kaiming He Ross Girshick
+ PDF Chat	Exploring Simple Siamese Representation Learning	2020	Xinlei Chen Kaiming He
+ PDF Chat	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár
+ PDF Chat	A Multigrid Method for Efficiently Training Video Models	2020	Chao-Yuan Wu Ross Girshick Kaiming He Christoph Feichtenhofer Philipp Krähenbühl
+ PDF Chat	PointRend: Image Segmentation As Rendering	2020	Alexander Kirillov Yuxin Wu Kaiming He Ross Girshick
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick
+	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár
+	Improved Baselines with Momentum Contrastive Learning	2020	Xinlei Chen Haoqi Fan Ross Girshick Kaiming He
+	Are Labels Necessary for Neural Architecture Search?	2020	Chenxi Liu Piotr Dollár Kaiming He Ross Girshick Alan Yuille Saining Xie
+	Graph Structure of Neural Networks	2020	Jiaxuan You Jure Leskovec Kaiming He Saining Xie
+ PDF Chat	Are Labels Necessary for Neural Architecture Search?	2020	Chenxi Liu Piotr Dollár Kaiming He Ross Girshick Alan Yuille Saining Xie
+	Exploring Simple Siamese Representation Learning	2020	Xinlei Chen Kaiming He
+	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár
+	PointRend: Image Segmentation as Rendering	2019	Alexander Kirillov Yuxin Wu Kaiming He Ross Girshick
+ PDF Chat	Exploring Randomly Wired Neural Networks for Image Recognition	2019	Saining Xie Alexander Kirillov Ross Girshick Kaiming He
+ PDF Chat	TensorMask: A Foundation for Dense Object Segmentation	2019	Xinlei Chen Ross Girshick Kaiming He Piotr Dollár
+ PDF Chat	Deep Hough Voting for 3D Object Detection in Point Clouds	2019	Charles R. Qi Or Litany Kaiming He Leonidas Guibas
+ PDF Chat	SlowFast Networks for Video Recognition	2019	Christoph Feichtenhofer Haoqi Fan Jitendra Malik Kaiming He
+ PDF Chat	Rethinking ImageNet Pre-Training	2019	Kaiming He Ross Girshick Piotr Dollár
+ PDF Chat	Panoptic Feature Pyramid Networks	2019	Alexander Kirillov Ross Girshick Kaiming He Piotr Dollár
+ PDF Chat	Long-Term Feature Banks for Detailed Video Understanding	2019	Chao-Yuan Wu Christoph Feichtenhofer Haoqi Fan Kaiming He Philipp Krähenbühl Ross Girshick
+ PDF Chat	Feature Denoising for Improving Adversarial Robustness	2019	Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He
+	Panoptic Segmentation	2019	Alexander Kirillov Kaiming He Ross Girshick Carsten Rother Piotr Dollár
+	Deep Hough Voting for 3D Object Detection in Point Clouds	2019	Charles R. Qi Or Litany Kaiming He Leonidas Guibas
+	TensorMask: A Foundation for Dense Object Segmentation	2019	Xinlei Chen Ross Girshick Kaiming He Piotr Dollár
+	Exploring Randomly Wired Neural Networks for Image Recognition	2019	Saining Xie Alexander Kirillov Ross Girshick Kaiming He
+	Momentum Contrast for Unsupervised Visual Representation Learning	2019	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick
+	A Multigrid Method for Efficiently Training Video Models	2019	Chao-Yuan Wu Ross Girshick Kaiming He Christoph Feichtenhofer Philipp Krähenbühl
+	PointRend: Image Segmentation as Rendering	2019	Alexander M. Kirillov Yuxin Wu Kaiming He Ross Girshick
+	Deep Hough Voting for 3D Object Detection in Point Clouds	2019	Charles R. Qi Or Litany Kaiming He Leonidas Guibas
+	Panoptic Feature Pyramid Networks	2019	Alexander M. Kirillov Ross Girshick Kaiming He Piotr Dollár
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He
+ PDF Chat	Detecting and Recognizing Human-Object Interactions	2018	Georgia Gkioxari Ross Girshick Piotr Dollár Kaiming He
+ PDF Chat	Data Distillation: Towards Omni-Supervised Learning	2018	Ilija Radosavovic Piotr Dollár Ross Girshick Georgia Gkioxari Kaiming He
+ PDF Chat	Learning to Segment Every Thing	2018	Ronghang Hu Piotr Dollár Kaiming He Trevor Darrell Ross Girshick
+	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten
+	Group Normalization	2018	Yuxin Wu Kaiming He
+	GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations	2018	Zhilin Yang Junbo Zhao Bhuwan Dhingra Kaiming He William W. Cohen Ruslan Salakhutdinov Yann LeCun
+	Rethinking ImageNet Pre-training	2018	Kaiming He Ross Girshick Piotr Dollár
+	Feature Denoising for Improving Adversarial Robustness	2018	Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He
+	Long-Term Feature Banks for Detailed Video Understanding	2018	Chao-Yuan Wu Christoph Feichtenhofer Haoqi Fan Kaiming He Philipp Krähenbühl Ross Girshick
+	SlowFast Networks for Video Recognition	2018	Christoph Feichtenhofer Haoqi Fan Jitendra Malik Kaiming He
+ PDF Chat	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten
+	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten
+	Panoptic Segmentation	2018	Alexander M. Kirillov Kaiming He Ross Girshick Carsten Rother Piotr Dollár
+	Group Normalization	2018	Yuxin Wu Kaiming He
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár
+ PDF Chat	Transitive Invariance for Self-Supervised Visual Representation Learning	2017	Xiaolong Wang Kaiming He Abhinav Gupta
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie
+	Mask R-CNN	2017	Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick
+	Detecting and Recognizing Human-Object Interactions	2017	Georgia Gkioxari Ross Girshick Piotr Dollár Kaiming He
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He
+	Transitive Invariance for Self-supervised Visual Representation Learning	2017	Xiaolong Wang Kaiming He Abhinav Gupta
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár
+	Learning to Segment Every Thing	2017	Ronghang Hu Piotr Dollár Kaiming He Trevor Darrell Ross Girshick
+	Non-local Neural Networks	2017	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He
+	Data Distillation: Towards Omni-Supervised Learning	2017	Ilija Radosavovic Piotr Dollár Ross Girshick Georgia Gkioxari Kaiming He
+	Mask R-CNN	2017	Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick
+ PDF Chat	Object Detection Networks on Convolutional Feature Maps	2016	Shaoqing Ren Kaiming He Ross Girshick Xiangyu Zhang Jian Sun
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+ PDF Chat	Instance-Aware Semantic Segmentation via Multi-task Network Cascades	2016	Jifeng Dai Kaiming He Jian Sun
+ PDF Chat	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation	2016	Di Lin Jifeng Dai Jiaya Jia Kaiming He Jian Sun
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+ PDF Chat	Instance-Sensitive Fully Convolutional Networks	2016	Jifeng Dai Kaiming He Yi Li Shaoqing Ren Jian Sun
+	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation	2016	Di Lin Jifeng Dai Jiaya Jia Kaiming He Jian Sun
+	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+	Feature Pyramid Networks for Object Detection	2016	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie
+	Is Faster R-CNN Doing Well for Pedestrian Detection?	2016	Zhang Li-liang Liang Lin Xiaodan Liang Kaiming He
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Yi Li Kaiming He Jian Sun
+	Instance-sensitive Fully Convolutional Networks	2016	Jifeng Dai Kaiming He Yi Li Shaoqing Ren Jian Sun
+	Aggregated Residual Transformations for Deep Neural Networks	2016	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He
+ PDF Chat	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation	2015	Jifeng Dai Kaiming He Jian Sun
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+ PDF Chat	Accelerating Very Deep Convolutional Networks for Classification and Detection	2015	Xiangyu Zhang Jianhua Zou Kaiming He Jian Sun
+ PDF Chat	Image Super-Resolution Using Deep Convolutional Networks	2015	Chao Dong Chen Change Loy Kaiming He Xiaoou Tang
+ PDF Chat	Efficient and accurate approximations of nonlinear convolutional networks	2015	Xiangyu Zhang Jianhua Zou Ming Xiang Kaiming He Jian Sun
+ PDF Chat	Convolutional feature masking for joint object and stuff segmentation	2015	Jifeng Dai Kaiming He Jian Sun
+ PDF Chat	Convolutional neural networks at constrained time cost	2015	Kaiming He Jian Sun
+	Fast Guided Filter.	2015	Kaiming He Jian Sun
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+	Image Super-Resolution Using Deep Convolutional Networks	2015	Chao Dong Chen Change Loy Kaiming He Xiaoou Tang
+	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation	2015	Jifeng Dai Kaiming He Jian Sun
+	Instance-aware Semantic Segmentation via Multi-task Network Cascades	2015	Jifeng Dai Kaiming He Jian Sun
+	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+	Object Detection Networks on Convolutional Feature Maps	2015	Shaoqing Ren Kaiming He Ross Girshick Xiangyu Zhang Jian Sun
+	Accelerating Very Deep Convolutional Networks for Classification and Detection	2015	Xiangyu Zhang Jianhua Zou Kaiming He Jian Sun
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun
+	Fast Guided Filter	2015	Kaiming He Jian Sun
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun
+	Convolutional Neural Networks at Constrained Time Cost	2014	Kaiming He Jian Sun
+	Efficient and Accurate Approximations of Nonlinear Convolutional Networks	2014	Xiangyu Zhang Jianhua Zou Ming Xiang Kaiming He Jian Sun

Common Coauthors

Coauthor	Papers Together
Ross Girshick	58
Piotr Dollár	33
Jian Sun	17
Saining Xie	16
Shaoqing Ren	14
Xiangyu Zhang	14
Haoqi Fan	12
Christoph Feichtenhofer	11
Jifeng Dai	11
Jian Sun	10
Yanghao Li	9
Xinlei Chen	7
Yuxin Wu	7
Georgia Gkioxari	6
Alexander Kirillov	6
Xinlei Chen	6
Tsung-Yi Lin	5
Laurens van der Maaten	5
Ilija Radosavovic	5
Chao-Yuan Wu	4
Philipp Krähenbühl	4
Jianhua Zou	4
Alan Yuille	4
Ronghang Hu	4
Priya Goyal	4
Abhinav Gupta	4
Charles R. Qi	3
Leonidas Guibas	3
Manohar Paluri	3
Alexander M. Kirillov	3
Xiaolong Wang	3
Dhruv Mahajan	3
Yixuan Li	3
Or Litany	3
Raj Prateek Kosaraju	3
Vignesh Ramanathan	3
Tianhong Li	3
Chen Change Loy	2
Trevor Darrell	2
Di Lin	2
Chao Dong	2
Yuxin Wu	2
Zhuowen Tu	2
Jian Sun	2
Bharath Hariharan	2
Cihang Xie	2
Hanzi Mao	2
Jiaya Jia	2
Yi Li	2
Yonglong Tian	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	51
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	46
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	44
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	42
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	41
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	33
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	32
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	31
+	Visualizing and Understanding Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	31
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	30
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	29
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	29
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	29
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	27
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	24
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	23
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	21
+ PDF Chat	Convolutional feature masking for joint object and stuff segmentation	2015	Jifeng Dai Kaiming He Jian Sun	16
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	14
+ PDF Chat	Hypercolumns for object segmentation and fine-grained localization	2015	Bharath Hariharan Pablo Arbeláez Ross Girshick Jitendra Malik	14
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	14
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	13
+	Fast R-CNN	2015	Ross Girshick	13
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	12
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	12
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	11
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	11
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	11
+ PDF Chat	Learning Features by Watching Objects Move	2017	Deepak Pathak Ross Girshick Piotr Dollár Trevor Darrell Bharath Hariharan	11
+ PDF Chat	Non-local Neural Networks	2018	Xiaolong Wang Ross Girshick Abhinav Gupta Kaiming He	11
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	11
+ PDF Chat	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset	2017	João Carreira Andrew Zisserman	11
+	Learning to Segment Object Candidates	2015	Pedro O. Pinheiro Ronan Collobert Piotr Dollár	11
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	10
+ PDF Chat	Unsupervised Learning of Visual Representations Using Videos	2015	Xiaolong Wang Abhinav Gupta	10
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	10
+ PDF Chat	Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model	2015	Spyros Gidaris Nikos Komodakis	10
+	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	2014	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	10
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	10
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	9
+	Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding	2016	Gunnar A. Sigurdsson Gül Varol Xiaolong Wang Ali Farhadi Ivan Laptev Abhinav Gupta	9
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	9
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	9
+	Large Batch Training of Convolutional Networks	2017	Yang You Igor Gitman Boris Ginsburg	8
+	Learning to Segment Object Candidates	2015	Pedro O. Pinheiro Ronan Collobert Piotr Dollár	8
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	8
+	The Kinetics Human Action Video Dataset	2017	Andrew Zisserman João Carreira Karen Simonyan Will Kay Brian Zhang Chloe Hillier Sudheendra Vijayanarasimhan Fabio Viola T.C. Green Trevor Back	8
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	8
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	8
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	8