IEEE Conference on Computer Vision and Pattern Recognition

All conferences Best Papers vs Top Cited Papers

The Conference on Computer Vision and Pattern Recognition (CVPR) is an annual conference on computer vision and pattern recognition, which is regarded as one of the most important conferences in its field.

Top Authors ( author's name : number of papers / citations )

2015

Dumitru Erhan: 2 / 25636

Scott E. Reed: 2 / 22573

Yangqing Jia: 2 / 22559

Pierre Sermanet: 1 / 22021

Vincent Vanhoucke: 1 / 22021

Dragomir Anguelov: 1 / 22021

Wei Liu: 1 / 22021

Christian Szegedy: 1 / 22021

Andrew Rabinovich: 1 / 22021

Trevor Darrell: 3 / 17001

Jonathan Long: 1 / 16596

Evan Shelhamer: 1 / 16596

James Philbin: 1 / 5373

Florian Schroff: 1 / 5373

Dmitry Kalenichenko: 1 / 5373

Xiaoou Tang: 9 / 5329

Oriol Vinyals: 2 / 5207

Samy Bengio: 2 / 3696

Alexander Toshev: 1 / 3615

Shi-Min Hu: 1 / 3379

2016

Jian Sun: 4 / 48637

Kaiming He: 3 / 48550

Shaoqing Ren: 1 / 47481

Xiangyu Zhang: 1 / 47481

Ross B. Girshick: 4 / 11494

Ali Farhadi: 5 / 10109

Joseph Redmon: 1 / 9706

Santosh Kumar Divvala: 1 / 9706

Sergey Ioffe: 1 / 8432

Christian Szegedy: 1 / 8432

Jonathon Shlens: 1 / 8432

Vincent Vanhoucke: 1 / 8432

Trevor Darrell: 7 / 7132

Jeff Donahue: 2 / 5639

Kate Saenko: 3 / 4299

Bernt Schiele: 5 / 4074

Lisa Anne Hendricks: 2 / 4028

Marcus Rohrbach: 2 / 4028

Subhashini Venugopalan: 2 / 4028

Sergio Guadarrama: 1 / 3855

2017

Ross B. Girshick: 4 / 7068

Alexei A. Efros: 5 / 6581

Zhuang Liu: 1 / 6524

Kilian Q. Weinberger: 2 / 6524

Gao Huang: 1 / 6524

Piotr DollÃ¡R: 4 / 6514

Tinghui Zhou: 3 / 6492

Kaiming He: 2 / 6216

Phillip Isola: 2 / 5610

Jun-Yan Zhu: 1 / 5412

Xiaogang Wang: 12 / 5391

Ali Farhadi: 5 / 5020

Joseph Redmon: 1 / 4803

Serge J. Belongie: 6 / 4775

Li Fei-Fei: 9 / 4756

Bharath Hariharan: 3 / 4701

Johannes Totz: 2 / 3914

Zehan Wang: 2 / 3914

Christian Ledig: 2 / 3914

Wenzhe Shi: 2 / 3914

2018

Gang Sun: 1 / 3270

Li Shen: 1 / 3270

Jie Hu: 1 / 3270

Jan Kautz: 11 / 2406

Liang-Chieh Chen: 2 / 2059

Ross B. Girshick: 6 / 1977

Mark Sandler: 1 / 1935

Andrey Zhmoginov: 1 / 1935

Jian Sun: 4 / 1868

Ming-Hsuan Yang: 17 / 1771

Kaiming He: 4 / 1754

Ming-Yu Liu: 5 / 1745

Abhinav Gupta: 5 / 1602

Xiaolong Wang: 3 / 1597

Jonathon Shlens: 2 / 1553

Vijay Vasudevan: 1 / 1552

Quoc V. Le: 1 / 1552

Lei Zhang: 6 / 1494

Xiangyu Zhang: 2 / 1473

Damien Teney: 3 / 1438

2019

Quoc V. Le: 4 / 776

Vijay Vasudevan: 2 / 573

Kaiming He: 4 / 505

Yi Yang: 10 / 499

Alan Yuille: 12 / 495

Silvio Savarese: 7 / 472

Li Fei-Fei: 8 / 458

Bo Chen: 1 / 440

Mingxing Tan: 1 / 440

Ruoming Pang: 1 / 440

Dahua Lin: 8 / 409

Wanli Ouyang: 8 / 391

Jitendra Malik: 5 / 383

Xiaogang Wang: 14 / 383

Ross B. Girshick: 4 / 370

Chen Change Loy: 10 / 370

Wei Liu: 19 / 364

Sergey Levine: 2 / 363

Rahul Sukthankar: 2 / 310

Piotr DollÃ¡R: 3 / 305

2020

Samuli Laine: 1 / 859

Tero Karras: 1 / 859

Timo Aila: 1 / 859

Qing Wang: 1 / 18

Hao Zhu: 1 / 18

Qi Zhang: 1 / 18

Hongdong Li: 1 / 18

Yu-Chuan Su: 1 / 7

Kristen Grauman: 1 / 7

Publications

Top Clited

Authors

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Browse by Citation

Deep Residual Learning for Image Recognition

Kaiming He,Xiangyu Zhang,Shaoqing Ren,Jian Sun

(2016)

Cited by47481

Going Deeper with Convolutions

Christian Szegedy,Wei Liu,Yangqing Jia,Pierre Sermanet,Scott E. Reed,Dragomir Anguelov,Dumitru Erhan,Vincent Vanhoucke,Andrew Rabinovich

(2015)

Cited by22799

Fully convolutional networks for semantic segmentation

Jonathan Long,Evan Shelhamer,Trevor Darrell

(2015)

Cited by16596

You Only Look Once: Unified, Real-Time Object Detection

Joseph Redmon,Santosh Kumar Divvala,Ross B. Girshick,Ali Farhadi

(2016)

Cited by10935

Rethinking the Inception Architecture for Computer Vision

Christian Szegedy,Vincent Vanhoucke,Sergey Ioffe,Jonathon Shlens, Zbigniew Wojna

(2016)

Cited by8432

Densely Connected Convolutional Networks

Gao Huang,Zhuang Liu,Kilian Q. Weinberger

(2017)

Cited by6524

Image-to-Image Translation with Conditional Adversarial Networks

Phillip Isola,Jun-Yan Zhu,Tinghui Zhou,Alexei A. Efros

(2017)

Cited by5412

FaceNet: A Unified Embedding for Face Recognition and Clustering

Florian Schroff,Dmitry Kalenichenko,James Philbin

(2015)

Cited by5373

YOLO9000: Better, Faster, Stronger

Joseph Redmon,Ali Farhadi

(2017)

Cited by4803

Feature Pyramid Networks for Object Detection

Tsung-Yi Lin,Piotr Dollár,Ross B. Girshick,Kaiming He,Bharath Hariharan,Serge J. Belongie

(2017)

Cited by4484

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig,Lucas Theis,Ferenc Huszar,Jose Caballero, Andrew P. Aitken,Alykhan Tejani,Johannes Totz,Zehan Wang,Wenzhe Shi

(2017)

Cited by4027

Long-term Recurrent Convolutional Networks for Visual Recognition and Description

Jeff Donahue,Lisa Anne Hendricks,Sergio Guadarrama,Marcus Rohrbach,Subhashini Venugopalan,Trevor Darrell,Trevor Darrell

(2016)

Cited by3855

Show and tell: A neural image caption generator

Oriol Vinyals,Alexander Toshev,Samy Bengio,Dumitru Erhan

(2015)

Cited by3615

Deep Visual-Semantic Alignments for Generating Image Descriptions

Andrej Karpathy,Li Fei-Fei

(2017)

Cited by3517

Global Contrast Based Salient Region Detection

Ming-Ming Cheng, Guo-Xin Zhang,J MITRA NILOY, Xiaolei Huang, Shi-Min Hu

(2015)

Cited by3379

Squeeze-and-Excitation Networks

Jie Hu,Li Shen,Gang Sun

(2018)

Cited by3270

The Cityscapes Dataset for Semantic Urban Scene Understanding

Marius Cordts,Mohamed Omran,Sebastian Ramos, Timo Rehfeld,Markus Enzweiler,Rodrigo Benenson,Uwe Franke,Stefan Roth,Bernt Schiele

(2016)

Cited by3101

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie,Ross B. Girshick,Piotr Dollár,Zhuowen Tu,Kaiming He

(2017)

Cited by2788

Pyramid Scene Parsing Network

Hengshuang Zhao,Jianping Shi,Xiaojuan Qi,Xiaogang Wang,Jiaya Jia

(2017)

Cited by2725

Xception: Deep Learning with Depthwise Separable Convolutions

François Chollet

(2017)

Cited by2654

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Jiwon Kim, Jung Kwon Lee,Kyoung Mu Lee

(2016)

Cited by2528

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Mark Sandler, Andrew G. Howard, Menglong Zhu,Andrey Zhmoginov,Liang-Chieh Chen

(2018)

Cited by2512

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Charles Ruizhongtai Qi,Hao Su,Kaichun Mo,Leonidas J. Guibas

(2017)

Cited by2497

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Zhe Cao, Tomas Simon,Shih-En Wei,Yaser Sheikh

(2017)

Cited by2383

Learning Deep Features for Discriminative Localization

Bolei Zhou,Aditya Khosla,Agata Lapedriza,Aude Oliva,Antonio Torralba

(2016)

Cited by2257

Image Style Transfer Using Convolutional Neural Networks

Leon A. Gatys,Alexander S. Ecker,Matthias Bethge

(2016)

Cited by1898

3D ShapeNets: A deep representation for volumetric shapes

Zhirong Wu,Shuran Song,Aditya Khosla,Fisher Yu,Linguang Zhang,Xiaoou Tang,Jianxiong Xiao

(2015)

Cited by1806

Context Encoders: Feature Learning by Inpainting

Deepak Pathak,Philipp Krähenbühl,Jeff Donahue,Trevor Darrell,Alexei A. Efros

(2016)

Cited by1784

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Wenzhe Shi,Jose Caballero,Ferenc Huszár,Johannes Totz, Andrew P. Aitken, Rob Bishop,Daniel Rueckert,Zehan Wang

(2016)

Cited by1752

Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Anh Mai Nguyen,Jason Yosinski,Jeff Clune

(2015)

Cited by1746

Non-local Neural Networks

Xiaolong Wang,Ross B. Girshick,Abhinav Gupta,Kaiming He

(2018)

Cited by1666

Learning Transferable Architectures for Scalable Image Recognition

Barret Zoph,Vijay Vasudevan,Jonathon Shlens,Quoc V. Le

(2018)

Cited by1631

Beyond Short Snippets: Deep Networks for Video Classification

Joe Yue-Hei Ng,Matthew J. Hausknecht,Sudheendra Vijayanarasimhan,Oriol Vinyals,Rajat Monga,George Toderici

(2015)

Cited by1592

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Joao Carreira,Andrew Zisserman

(2017)

Cited by1569

DeepFool: a simple and accurate method to fool deep neural networks

Seyed-Mohsen Moosavi-Dezfooli,Alhussein Fawzi,Pascal Frossard

(2015)

Cited by1522

Convolutional Pose Machines

Shih-En Wei, Varun Ramakrishna,Takeo Kanade,Yaser Sheikh

(2016)

Cited by1494

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Hyeonseob Nam,Bohyung Han

(2016)

Cited by1423

Person re-identification by Local Maximal Occurrence representation and metric learning

Shengcai Liao,Yang Hu,Xiangyu Zhu,Stan Z. Li

(2015)

Cited by1415

Convolutional Two-Stream Network Fusion for Video Action Recognition

Christoph Feichtenhofer,Axel Pinz,Andrew Zisserman

(2016)

Cited by1409

CIDEr: Consensus-based image description evaluation

Ramakrishna Vedantam,C. Lawrence Zitnick,Devi Parikh

(2015)

Cited by1365

Speed/accuracy trade-offs for modern convolutional object detectors

Jonathan Huang,Vivek Rathod,Chen Sun, Menglong Zhu,Anoop Korattikara,Alireza Fathi,Ian Fischer, Zbigniew Wojna,Yang Song,Sergio Guadarrama,Kevin Murphy

(2017)

Cited by1356

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Xiangyu Zhang,Xinyu Zhou, Mengxiao Lin,Jian Sun

(2018)

Cited by1342

Adversarial Discriminative Domain Adaptation

Eric Tzeng,Judy Hoffman,Kate Saenko,Trevor Darrell

(2017)

Cited by1337

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia,Margret Keuper,Alexey Dosovitskiy,Thomas Brox

(2017)

Cited by1264

Hypercolumns for object segmentation and fine-grained localization

Bharath Hariharan,Pablo Andrés Arbeláez,Ross B. Girshick,Jitendra Malik

(2015)

Cited by1231

Enhanced Deep Residual Networks for Single Image Super-Resolution

Bee Lim,Sanghyun Son, Heewon Kim,Seungjun Nah,Kyoung Mu Lee

(2017)

Cited by1224

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Guosheng Lin,Anton Milan,Chunhua Shen,Ian D. Reid

(2017)

Cited by1197

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Peter Anderson,Xiaodong He, Chris Buehler,Damien Teney,Mark Johnson,Stephen Gould,Lei Zhang

(2018)

Cited by1180

Training Region-based Object Detectors with Online Hard Example Mining

Abhinav Shrivastava,Abhinav Gupta,Ross B. Girshick

(2016)

Cited by1088

Understanding deep image representations by inverting them

Aravindh Mahendran,Andrea Vedaldi

(2015)

Cited by1068

Deeply-Recursive Convolutional Network for Image Super-Resolution

Jiwon Kim, Jung Kwon Lee,Kyoung Mu Lee

(2016)

Cited by1060

Stacked Attention Networks for Image Question Answering

Zichao Yang,Xiaodong He,Jianfeng Gao,Li Deng,Alexander J. Smola

(2016)

Cited by1027

Learning from Simulated and Unsupervised Images through Adversarial Training

Abhishek Shrivastava, Tomas Pfister,Oncel Tuzel,Josh Susskind, Wenda Wang, Russell Y. Webb

(2017)

Cited by1015

An improved deep learning architecture for person re-identification

Ejaz Ahmed,Michael J Jones,Tim K Marks

(2015)

Cited by1014

Residual Attention Network for Image Classification

Fei Wang, Mengqing Jiang,Chen Qian,Shuo Yang,Cheng Li,Honggang Zhang,Xiaogang Wang,Xiaoou Tang

(2017)

Cited by1008

From captions to visual concepts and back

Hao Fang,Saurabh Gupta,Forrest N. Iandola,Rupesh Kumar Srivastava,Li Deng,Piotr Dollár,Jianfeng Gao,Xiaodong He,Margaret Mitchell,John C. Platt,C. Lawrence Zitnick,Geoffrey Zweig

(2015)

Cited by1004

Salient Object Detection: A Discriminative Regional Feature Integration Approach

Huaizu Jiang,Jingdong Wang,Zejian Yuan,Yang Wu,Nanning Zheng,Shipeng Li

(2017)

Cited by1002

Staple: Complementary Learners for Real-Time Tracking

Luca Bertinetto,Jack Valmadre,Stuart Golodetz,Ondrej Miksik,Philip H. S. Torr

(2016)

Cited by995

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Clément Godard,Oisin Mac Aodha,Gabriel J. Brostow

(2017)

Cited by993

Hierarchical recurrent neural network for skeleton based action recognition

Yong Du,Wei Wang,Liang Wang

(2015)

Cited by992

Single image super-resolution from transformed self-exemplars

Jia-Bin Huang,Abhishek Singh,Narendra Ahuja

(2015)

Cited by947

Action recognition with trajectory-pooled deep-convolutional descriptors

Limin Wang,Yu Qiao,Xiaoou Tang

(2015)

Cited by933

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Yunjey Choi, Min-Je Choi, Munyoung Kim,Jung-Woo Ha,Sunghun Kim,Jaegul Choo

(2018)

Cited by930

A convolutional neural network cascade for face detection

Haoxiang Li,Zhe Lin,Xiaohui Shen,Jonathan Brandt,Gang Hua

(2015)

Cited by928

NetVLAD: CNN architecture for weakly supervised place recognition

Relja Arandjelovic,Petr Gronat,Akihiko Torii,Tomas Pajdla,Josef Sivic

(2017)

Cited by924

Learning to Compare Image Patches via Convolutional Neural Networks

Sergey Zagoruyko,Nikos Komodakis

(2015)

Cited by921

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Ting-Chun Wang,Ming-Yu Liu,Jun-Yan Zhu, Andrew Tao,Jan Kautz,Bryan Catanzaro

(2018)

Cited by914

Image Captioning with Semantic Attention

Quanzeng You,Hailin Jin,Zhaowen Wang,Chen Fang,Jiebo Luo

(2016)

Cited by913

ECO: Efficient Convolution Operators for Tracking

Martin Danelljan, Goutam Bhat,Fahad Shahbaz Khan,Michael Felsberg

(2017)

Cited by874

Object scene flow for autonomous vehicles

Moritz Menze,Andreas Geiger

(2015)

Cited by869

Social LSTM: Human Trajectory Prediction in Crowded Spaces

Alexandre Alahi, Kratarth Goel,Vignesh Ramanathan, Alexandre Robicquet,Fei-Fei Li,Silvio Savarese

(2016)

Cited by868

Robust Physical-World Attacks on Deep Learning Visual Classification

Kevin Eykholt, Ivan Evtimov,Earlence Fernandes,Bo Li,Amir Rahmati,Chaowei Xiao,Atul Prakash,Tadayoshi Kohno,Dawn Song

(2018)

Cited by861

A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras,Samuli Laine,Timo Aila

(2020)

Cited by859

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Nikolaus Mayer,Eddy Ilg,Philip Häusser,Philipp Fischer,Daniel Cremers,Alexey Dosovitskiy,Thomas Brox

(2016)

Cited by858

SphereFace: Deep Hypersphere Embedding for Face Recognition

Weiyang Liu,Yandong Wen,Zhiding Yu,Ming Li,Bhiksha Raj,Le Song

(2017)

Cited by857

Unsupervised Learning of Depth and Ego-Motion from Video

Tinghui Zhou,Matthew Brown,Noah Snavely,David G. Lowe

(2017)

Cited by850

Structure-from-Motion Revisited

Johannes L. Schönberger,Jan-Michael Frahm

(2016)

Cited by841

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

De Cheng,Yihong Gong, Sanping Zhou,Jinjun Wang,Nanning Zheng

(2016)

Cited by821

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Jiankang Deng, Jia Guo,Niannan Xue,Stefanos Zafeiriou

(2018)

Cited by801

Age and gender classification using convolutional neural networks

Gil Levi,Tal Hassner

(2015)

Cited by799

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

Wei-Sheng Lai,Jia-Bin Huang,Narendra Ahuja,Ming-Hsuan Yang

(2017)

Cited by790

Instance-aware Semantic Segmentation via Multi-task Network Cascades

Jifeng Dai,Kaiming He,Jian Sun

(2016)

Cited by780

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

Sean Bell,C Lawrence Zitnick,Kavita Bala,Ross Girshick

(2016)

Cited by773

ActivityNet: A large-scale video benchmark for human activity understanding

Fabian Caba Heilbron,Victor Escorcia,Bernard Ghanem,Juan Carlos Niebles

(2015)

Cited by767

Universal adversarial perturbations

Seyed-Mohsen Moosavi-Dezfooli,Alhussein Fawzi,Omar Fawzi,Pascal Frossard

(2017)

Cited by765

Volumetric and Multi-View CNNs for Object Classification on 3D Data

Charles Ruizhongtai Qi,Hao Su,Matthias Nießner,Angela Dai, Mengyuan Yan,Leonidas J. Guibas

(2016)

Cited by760

Long-term correlation tracking

Chao Ma,Xiaokang Yang,Chongyang Zhang,Ming-Hsuan Yang

(2015)

Cited by745

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

Germán Ros, Laura Sellart, Joanna Materzynska,David Vázquez,Antonio M. Lopez

(2016)

Cited by744

Supervised Discrete Hashing

Fumin Shen,Chunhua Shen,Wei Liu,Heng Tao Shen

(2015)

Cited by740

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Amir Shahroudy,Jun Liu,Tian-Tsong Ng,Gang Wang

(2016)

Cited by736

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Xiaosong Wang,Yifan Peng,Le Lu,Zhiyong Lu, Mohammadhadi Bagheri,Ronald M. Summers

(2017)

Cited by732

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Konstantinos Bousmalis,Nathan Silberman, David Dohan,Dumitru Erhan,Dilip Krishnan

(2017)

Cited by719

Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

Tong Xiao,Hongsheng Li,Wanli Ouyang,Xiaogang Wang

(2016)

Cited by705

Deeply learned face representations are sparse, selective, and robust

Yi Sun,Xiaogang Wang,Xiaoou Tang

(2015)

Cited by703

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Simon Jégou, Michal Drozdzal,David Vázquez, Adriana Romero,Yoshua Bengio

(2017)

Cited by702

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

Justin Johnson,Andrej Karpathy,Fei-Fei Li

(2016)

Cited by701

Saliency detection by multi-context deep learning

Rui Zhao,Wanli Ouyang,Hongsheng Li,Xiaogang Wang

(2015)

Cited by700

Multi-View 3D Object Detection Network for Autonomous Driving

Xiaozhi Chen,Huimin Ma,Ji Wan,Bo Li,Tian Xia

(2017)

Cited by692

Efficient piecewise training of deep structured models for semantic segmentation

Guosheng Lin,Chunhua Shen,Ian D. Reid,Anton van den Hengel

(2016)

Cited by684

100

End-to-end representation learning for Correlation Filter based tracking

Jack Valmadre,Luca Bertinetto,João F. Henriques,Andrea Vedaldi,Philip H. S. Torr

(2017)

Cited by675

IEEE Conference on Computer Vision and Pattern Recognition

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Top Authors ( author's name : number of papers / citations )

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