分享CVPR2019(附会议视频全记录)

A.主要会议

节目指南：PDF
全程视频：视频

演示视频

学习分享CVPR 2019

会议大类：

深度学习
3D多视图
行动与视频
识别
分割（分段，分组和形状）
统计学，物理学，理论和数据集
3D单视图和RGBD
面部和身体（人脸识别、手势识别、姿态估计、人脸重建）
行动与视频
运动与生物识别
合成
计算摄影与图形
低级和优化
场景和表现
语言与推理
应用，医疗和机器人

B.教学讲座（TUTORIALS）

按照惯例，CVPR 第一、第二天的内容是教学讲座（tutorial）和主题研讨会（workshop）。教学讲座主要面向的是学生以及开展科研工作不久的青年学者们，演讲内容以梳理、解读现有技术成果为主。主题研讨会则是供已经在某个课题上作出成果的学者们发表、介绍自己的论文，并和在场的同一个方向的其他学者们展开交流。

1.第一天最火爆的教学讲座当属 Facebook 人工智能研究院 FAIR Ross Girshick & 何恺明组组织的「Visual Recognition and Beyond」（视觉识别以及更多），Ross 也第一个登台演讲。一上午的教学讲座由多位FAIR的研究员轮流介绍了图像及视频的实例级别对象识别所在的大方向在近几年中的技术成果，涵盖了图像分类、视频分类、对象检测、动作检测、实例分割、语意分割、全景分割、姿态估计等多种任务的方法和原理。参加这个教学讲座的人一直满满当当地挤到了会议厅门口。

感兴趣的读者可以在教学讲座主页 http://feichtenhofer.github.io/cvpr2019-recognition-tutorial/ 下载演讲PPT。

2.另一个火爆程度类似的教学讲座是「Deep Learning for Content Creation」（深度学习内容创建），全天的教学讲座同样座无虚席。这个教学讲座首先向其它方向的研究人员们介绍了这个领域研究的基本概念，然后介绍了目前已经取得成果的深度学习内容创建方法，最后讨论了领域的最新动向和亟待解决的问题。

课件下载地址：https://nvlabs.github.io/dl-for-content-creation/

前两天其它的教学讲座还包括：胶囊网络在 CV 中的应用、基于地点的计算机视觉推理、数据驱动计算图像学、百度阿波罗开放平台介绍、计算机视觉中的元学习等等许多。许多课题都又基础又热门，让人难以抉择要参加哪个。

详细课程安排：

视觉识别与超越
Christoph Feichenhofer，Kaiming He，Ross Girshick，Georgia Gkioxari，Alexander Kirillov和Piotr Dollar Christoph Feichenhofer

迈向可靠的体积表现捕捉人类
Sean Fanello，Christoph Rhemann，Graham Fyffe，Jonathan Taylor，Sofien Bouaziz，Paul Debevec，Shahram Izadi 肖恩法内罗

地图同步：从对象对应到神经网络
黄启星，周小伟，朱俊艳，周廷辉黄七星

基于相机的生理测量
Wenjin Wang，Sveta Zinger和Gerard de Haan 王文进

计算机视觉中解决微小问题的艺术
Zuzana Kukelova，Tomas Pajdla，Viktor Larsson，Magnus Oskarsson，KalleÅström和JanneHeikkilä Zuzana Kukelova

通过图形结构网络学习表示
刘思飞，Varun Jampani，王晓龙，Dhruv Batra，Abhinav Gupta，Jan Kautz，杨明轩刘思飞

内容创作的深度学习
Deqing Sun，刘明宇，Orazio Gallo和Jan Kautz 德清孙

胶囊网络计算机视觉
Yogesh Singh Rawat，Mubarak Shah，Ulas Bagci，Sara Sabour，Rodney LaLonde，Kevin Duarte Yogesh Singh Rawat

Magic Leap的感知
Ashwin Swaminathan，Jean-Yves Bouguet，Dan Farmer和David Molyneaux Ashwin Swaminathan

行动分类和视频建模
Efstratios Gavves，Joao Carreira，Christoph Feichtenhofer，Lorenzo Torresani，Basura Fernando Efstratios Gavves

计算机视觉的分布式私人机器学习：联邦学习，分裂学习和超越
Brendan McMahan，Ramesh Raskar，JakubKonečný，Otkrist Gupta，Hassan Takabi和Praneeth Vepakomma 布兰登麦克马汉

视觉数据总结的最新进展
Rameswar Panda，Ehsan Elhamifar，Amin Karbasi和Michael Gygli 拉姆斯瓦尔熊猫

愿景符合映射：基于位置推理和映射的计算机视觉
向马香马

纹理，物体，场景：从手工制作的特征到CNN及超越
李柳，周伯雷，梁铮，万里欧阳李柳

数据驱动的计算成像
Ashok Veeraraghavan，Guy Satat，Ramesh Raskar，Tristan瑞典语，Vivek Boominathan 盖瓦特

计算机视觉的元学习
Nikhil Naik，Frank Hutter，Nitish Keskar，Ramesh Raskar和Richard Socher Nikhil Naik

阿波罗：开放自动驾驶平台
Tae Eun Choe，王亮，宋世玉，胡江涛，杨瑞刚，Jaewon Jung Tae Eun Choe

血缘关系的视觉识别
约瑟夫罗宾逊，明绍和云浮约瑟夫罗宾逊

基于学习的立体和单眼图像深度估计：成功，局限和未来挑战
Matteo Poggi，Fabio Tosi，Konstantinos Batsos，Philippos Mordohai和Stefano Mattoccia Matteo Poggi

自主汽车的感知，预测和大规模数据收集
Luc Vincent，Peter Ondruska，Ashesh Jain，Sammy Omari和Vinay Shet

OpenCV 4.x以及更多用于CV R＆D的新工具
Alexander Bovyrin，Vadim Pisarevsky和Nikita Manovich Alexander Bovyrin

计算机视觉的深层强化学习
陆继文，任良良，雍永明陆文文

统一人类活动了解
Gunnar Sigurdsson和Michael Ryoo Gunnar Sigurdsson

基于TENSOR框架的原因与影响
因果关系M. Alex O. Vasilescu，Jean Kossaifi，Lieven DeLathauwer M. Alex O. Vasilescu

将机器人引入计算机视觉社区
Adithyavairavan Murali，Dhiraj Gandhi，Lerrel Pinto，Deepak Pathak和Saurabh Gupta Adithyavairavan Murali

C.主题研讨会（workshop）

主题研讨会（workshop）的内容就更多样、更具体、更前沿一些了，多模态学习和应用、可解释 AI、医疗机器视觉、视觉问答、三维场景重建、语言与视觉、降噪去雾超分辨率、骨架搜索、再识别等好几十个具体课题都有各自的主题研讨会，对应领域的学者在其中轮流介绍自己的相关成果；也有一些研讨会的内容是挑战赛，比如 AI City 挑战赛、CARLA 自动驾驶挑战赛、运动识别挑战赛等。

Automated Analysis of Marine Video for Environmental Monitoring
Derya Akkaynak, Anthony Hoogs, Suchi Bahndarkar Derya Akkaynak

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Computer Vision for Microscopy Image Analysis
Mei Chen, Dimitris Metaxas, Steve Finkbeiner, Dan Hoeppner Mei Chen

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Egocentric Perception, Interaction and Computing
Dima Damen, Antonino Furnari, Walterio Mayol-Cuevas, David Crandall, Giovani Maria Farinella, Kristen Grauman Dima Damen

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Visual Question Answering and Dialog
Abhishek Das, Ayush Shrivastava, Karan Desai, Yash Goyal, Aishwarya Agrawal, Amanpreet Singh, Meet Shah, Drew Hudson, Satwik Kottur, Rishabh Jain, Vivek Natarajan, Stefan Lee, Peter Anderson, Xinlei Chen, Marcus Rohrbach, Dhruv Batra, Devi Parikh Abhishek Das

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Applications of Computer Vision and Pattern Recognition to Media Forensics
Cristian Canton, Larry S. Davis, Edward Delp, Patrick Flynn, Scott McCloskey, Laura Leal-Taixé, Paul Natsev, Christoph Bregler Cristian Canton

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Third Workshop on Computer Vision for AR/VR
Sofien Bouaziz, Matt Uyttendaele, Andrew Rabinovich, Fernando De la Torre, Serge Belongie Sofien Bouaziz

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Deep Learning for Geometric Shape Understanding
Ilke Demir, Kathryn Leonard, Géraldine Morin, Camilla Hahn Ilke Demir

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Fine-Grained Visual Categorization
Ryan Farrell, et al. Ryan Farrell

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Multi-modal Learning from Videos
Chuang Gan, Boqing Gong, Xiaolong Wang, Limin Wang Chuang Gan

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International Challenge on Activity Recognition (ActivityNet)
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek Bernard Ghanem

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3D Scene Understanding for Vision, Graphics, and Robotics
Siyuan Huang, Chuhang Zou, Hao Su, Alexander Schwing, Shuran Song, Siyuan Qi, Yixin Zhu, David Forsyth, Leonidas Guibas, Song-Chun Zhu Siyuan Huang

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The 2019 SUMO Challenge Workshop – 360° Indoor Scene Understanding and Modeling
Daniel Huber, Lyne Tchapmi, Frank Dellaert, Ilke Demir, Shuran Song, Rachel Luo Daniel Huber

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Low-Power Image Recognition Challenge (LPIRC)
Yung-Hsiang Lu, Yiran Chen, Bo Chen, Alex Berg Yung-Hsiang Lu

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DynaVis: The 1st International Workshop on Dynamic Scene Reconstruction
Armin Mustafa, Marco Volino, Michael Zollhoefer, Dan Casas, Adrian Hilton Armin Mustafa

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Sight and Sound
Andrew Owens, Jiajun Wu, Bill Freeman, Andrew Zisserman, Jean-Charles Bazin, Zhengyou Zhang, Antonio Torralba, Kristen Grauman Andrew Owens

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Target Re-Identification and Multi-Target Multi-Camera Tracking
Ergys Ristani, Liang Zheng, Xiatian Zhu, Shiliang Zhang, Jingdong Wang, Shaogang Gong, Qi Tan, Carlo Tomasi, Richard Hartley Ergys Ristani

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Event-based Vision and Smart Cameras
Davide Scaramuzza, Guillermo Gallego, Kostas Daniilidis Davide Scaramuzza

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SAIAD - Safe Artificial Intelligence for Automated Driving
Timo Sämann, Stefan Milz, Fabian Hüger, Peter Schlicht, Joachim Sicking, Stefan Rüping, Oliver Grau, Oliver Wasenmüller, Markus Enzweiler, Loren Schwarz Timo Sämann

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Robotic Vision Probabilistic Object Detection Challenge
Niko Suenderhauf, Feras Dayoub, Anelia Angelova, David Hall, John Skinner, Gustavo Carneiro Niko Suenderhauf

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New Trends in Image Restoration and Enhancement workshop and associated challenges
Radu Timofte, Shuhang Gu, Lei Zhang, Ming-Hsuan Yang, Luc Van Gool, Kyoung Mu Lee, Michael S. Brown, Eli Shechtman, Ming-Yu Liu, Zhiwu Huang, Cosmin Ancuti, Codruta Ancuti, Jianrun Cai, Seungjun Nah, Abdelrahman Abdelhamed, Richard Zhang Radu Timofte

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EARTHVISION: Large Scale Computer Vision for Remote Sensing Imagery
Devis Tuia, Jan Dirk Wegner, Ronny Hänsch, Bertrand Le Saux, Naoto Yokoya, Ilke Demir, Nathan Jacobs, HakJae Kim, Kris Koperski, Fabio Pacifici, Ramesh Raskar, Myron Brown, Mariko Burgin Devis Tuia

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3D-WiDGET: Deep Generarive Models for 3D Understanding
David Vazquez, Sai Rajeswar, Pedro O. Pinheiro, Florian Golemo, Aaron Courville, Christopher Pal, Derek Nowrouzezahrai, Xavier Snelgrove, Fahim Mannan, Thomas Boquet David Vazquez

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ChaLearn Looking at People series: Face Spoofing Attack Workshop and Competition
Jun Wan, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Guodong Guo, Hailin Shi, Meysam Madadi, Shaopeng Tang Jun Wan

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Workshop on Autonomous Driving
Fisher Yu, Jose M. Alvarez, Oscar Beijbom, John Leonard, Markus Enzweiler, Antonio M. Lopez, Tomas Pajdla, David Vazquez, Holger Caesar, Zhengping Che, Haofeng Chen, Haoping Bai, Guangyu Li, Tracy Li, Adrien Gaidon Fisher Yu and Jose M. Alvarez

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Dependable Deep Detectors: Verification and Certification of Neural Networks
Shashank Pathak, Alessandro Abate, Armando Tacchella, Jelena Frtunikj Shashank Pathak

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DAVIS Challenge on Video Object Segmentation
Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool Sergi Caelles

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Bias Estimation in Face Anlytics
Rama Chellappa, Nalini Ratha, Rogerio Feris, Michele Merler, Vishal Patel Ratha

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Fairness Accountability Transparency and Ethics in Computer Vision
Timnit Gebru, Daniel Lim ,Yabebal Fantaye, Margaret Mitchell, Anna Rohrbach Timnit Gebru

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Biometrics
Ajay Kumar, Bir Bhanu Ajay Kumar

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Computer Vision in Sports
Thomas Moeslund, Graham Thomas, Adrian Hilton, Jim Little, Rikke Gade Thomas Moeslund

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Efficient Deep Learning for Computer Vision
Peter Vajda, Pete Warden, Prof. Kurt Keutzer Peter Vajda

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Computer Vision Problems in Plant Phenotyping
Sotirios A Tsaftaris, Hanno Scharr, Tony Pridmore Sotirios A Tsaftaris

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Workshop and Challenge on Learned Image Compression
George Toderici, Michele Covell, Wenzhe Shi, Radu Timofte, Lucas Theis, Johannes Ballé, Eirikur Agustsson, Nick Johnston, Fabian Mentzer George Toderici

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Photogrammetric Computer Vision
Jan-Michael Frahm, Andrea Fusiello, Ronny Hänsch, Alper Yilmaz Andrea Fusiello

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Long-Term Visual Localization under Changing Conditions
Torsten Sattler, Vassileios Balntas, Lars Hammarstrand, Huub Heijnen, Fredrik Kahl, Will Maddern, Krystian Mikolajczyk, Tomas Pajdla, Marc Pollefeys, Johannes L. Schönberger, Josef Sivic, Pablo Speciale, Carl Toft, Akihiko Torii Torsten Sattler

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Computational Cameras and Displays
Katherine Bouman, Ioannis Gkioulekas, Sanjeev Koppal Katherine Bouman

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Fourth International Skin Imaging Collaboration (ISIC) Workshop on Skin Image Analysis
Noel Codella, Emre Celebi, Kristin Dana, Allan Halpern, Philipp Tschandl, Codella

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GigaVision: When Gigapixel Videography meets Computer Vision
Lu Fang, David Brady, Ruiping Wang, Shenghua Gao, Yucheng Guo Lu Fang

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Face and Gesture Analysis for Health Informatics
Hammal, Daoudi, Chen, Huang, Bailly Hammal

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Precognition Seeing through the Future
Khoa Luu, Kris Kitani, Minh Hoai Nguyen, Hien Van Nguyen, Nemanja Djuric, Utsav Prabhu Khoa Luu

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When Blockchain Meets Computer Vision & AI
Sharathchandra Pankanti, Pramod Viswanath, Karthik Nandakumar, Nalini Ratha Karthik Nandakumar

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Computer Vision Applications for Mixed Reality Headsets
Marc Pollefeys, Federica Bogo, Johannes Schoenberger, Osman Ulusoy Marc Pollefeys and Federica Bogo

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Uncertainty and Robustness in Deep Visual Learning
Sergey Prokudin, Kevin Murphy, Peter Gehler, Zeynep Akata, Sebastian Nowozin Sergey Prokudin

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Detection In the Wild Challenge Workshop
Gang Yu, Shuai Shao, Jian Sun Gang Yu

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Deep-Vision: New Frontiers and Advances in theory in Deep Learning for Computer Vision (6th edition)
Jose M. Alvarez, Cristian Canton, Yann LeCun Jose M. Alvarez and Cristian Canton

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Language and Vision
Siddharth N., Andrei Barbu, Dan Gutfreund, Philip Torr Siddharth N.

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3D Scene Generation
Ritchie, Chang, Huang, Savva Ritchie

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The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security
David Crandall, Jan-Michael Frahm, Mario Fritz, Apu Kapadia, Vitaly Shmatikov Mario Fritz

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Vision for All Seasons: Bad Weather and Nighttime
Dengxin Dai, Christos Sakaridis, Robby T. Tan, Radu Timofte, Daniel Olmeda Reino, Wim Abbeloos, Nicolas Vignard, Marc Proesmans, Jiri Matas, Roberto Cipolla, Bernt Schiele, Luc Van Gool Dengxin Dai

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Workshop on Autonomous Driving - Beyond Single-Frame Perception
Erran, Pollefeys, Rus, Weiberger, Yang Erran

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Analysis and Modeling of Faces and Gestures
Joseph P Robinson, Yun Fu, Ming Shao, Siyu Xia, Sarah Ostadabbas, Sheng Li, Zhengming Ding Joseph P Robinson

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BioImage Computing
Dagmar Kainmueller, Kristin Branson, Jan Funke, Florian Jug, Anna Kreshuk, Carsten Rother Dagmar Kainmueller

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Adversarial Machine Learning in Real-World Computer Vision Systems
Bo Li, Li Erran Li, Friedland, Song, Forsyth, Zabih, Bo Li

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Visual Understanding by Learning from Web Data
Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool Wen Li

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Augmented Human: Human-centric Understanding and 2D/3D Synthesis, and the third Look Into Person (LIP) Challenge
Xiaodan Liang, Haoye Dong, Yunchao Wei, Xiaohui Shen, Jiashi Feng, Songchun Zhu Xiaodan Liang

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Medical Computer Vision (MCV)
Tal Arbel, Le Lu, Leo Grady, Nicolas Padoy Tal Arbel

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AI City Challenge
Milind Naphade, Anuj Sharma, David Anastasiu, Ming-Yu Liu, Ming-Ching Chang, Sywei Lyu, Rama Chellappa, Jenq-Neng Hwang Milind Naphade

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3D HUMANS HUman pose Motion Activities aNd Shape in 3D
Gregory Rogez, Javier Romero, M.J. Marin-Jimenez Gregory Rogez

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CARLA Autonomous Driving Challenge
German Ros, Vladlen Koltun, Alexey Dosovitskiy, David Vázquez, Felipe Codevilla, Antonio M. López German Ros

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Habitat: Embodied Agents Challenge and Workshop
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Erik Wijmans, Bhavana Jain, Julian Straub, Abhishek Das, Samyak Datta, Georgia Gkioxari, Marcus Rohrbach, Stefan Lee, Peter Anderson, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra Manolis Savva

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Bridging the Gap between Computational Photography and Visual Recognition
Walter Scheirer, Zhangyang (Atlas) Wang, Jiaying Liu, Wenqi Ren, Wenhan Yang, Kevin Bowyer, Thomas S. Huang, Rosaura Vidal-Mata, Sreya Banerjee, Ye Yuan Walter Scheirer

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Computer Vision for Global Challenges
Laura Sevilla-Lara, Yannis Kalantidis, Maria De-Arteaga, Timnit Gebru, Kris Sankaran, Ernest Mwebaze, John Quinn, Mutembesa Daniel, Mourad Gridach, Anna Lerner, Amir Zamir, Stefano Ermon, Lorenzo Torresani, Larry Zitnick, Jitendra Malik Laura Sevilla-Lara and Yannis Kalantidis

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Learning from Unlabeled Videos
Yale Song, Carl Vondrick, Katerina Fragkiadaki, Honglak Lee, Rahul Sukthankar Yale Song

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Deep Learning for Semantic Visual Navigation
Alexander Toshev, Anelia Angelova, Niko Suenderhauf, Ronald Clark, Andrew Davison Alexander Toshev

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Semantic Information
René Vidal, Stefano Soatto, Rama Chellappa René Vidal

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Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge
Yunchao Wei, Shuai (Kyle) Zheng, Ming-Ming Cheng, Xiaodan Liang, Hang Zhao, Honghui Shi, Liwei Wang, Thomas Huang Yunchao Wei

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Embedded Vision Workshop
Martin Humenberger, Tse-Wei Chen, Rajesh Narasimha, Stephan Weiss, Roland Brockers Martin Humenberger and Tse-Wei Chen

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Vision Meets Cognition
Jiajun Wu, Yixin Zhu, Yunzhi Li, Siyuan Qi, Zhoutong Zhang, Chenfanfu Jiang, Song-Chun Zhu, Joshua B. Tenenbaum Jiajun Wu

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Understanding Subjective Attributes of Data: Focus on Fashion and Subjective Search
Xavier Alameda-Pineda, Miriam Redi, Diane Larlus, Kristen Grauman, Nicu Sebe, Shih-Fu Chang Xavier Alameda-Pineda

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Image Matching: Local Features and Beyond
Vassileios Balntas, Vincent Lepetit, Johannes Schonberger, Eduard Trulls, Kwang Moo Yi Vassileios Balntas

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Vision with Biased or Scarce Data, 2nd Workshop on
Jan Ernst, Ziyan Wu, Kuan-Chuan Peng, Srikrishna Karanam Jan Ernst

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Landmark Recognition
Bohyung Han, Andre Araujo, Bingyi Cao, Shih-Fu Chang, Jack Sim, Ondrej Chum, Torsten Sattler, Giorgos Tolias, Tobias Weyand, Xu Zhang Bohyung Han

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Towards Causal, Explainable and Universal Medical Visual Diagnosis
Xiaodan Liang, Christy Yuan Li, Hao Wang, Eric Xing, Larrence Carin, Ricardo Henao Xiaodan Liang

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3rd Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues
Guoyu Lu, Friedrich Fraundorfer, Yan Yan, Nicu Sebe, Chandra Kambhamettu Guoyu Lu

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Multimodal Learning and Applications Workshop
Pietro Morerio, Paolo Rota, Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino Pietro Morerio

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EMC^2: Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (3rd Edition)
Raj Parihar, Michael Goldfarb, Satyam Srivastava, Mahdi N. Bojnordi, Tao Sheng, Krishna Nagar, Debu Pal Raj Parihar and Michael Goldfarb

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Detecting Objects in Aerial Images
Gui-Song Xia, Xiang Bai, Serge Belongie, Jiebo Luo, Mihai Dactu, Marcello Pelillo, Liangpei Zhang Gui-Song Xia

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Explainable AI
Quanshi Zhang, Lixin Fan, Bolei Zhou, Sinisa Todorovic, Tianfu Wu, Ying Nian Wu Quanshi Zhang

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Women in Computer Vision
Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador Irene Amerini

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ScanNet Indoor Scene Understanding
Angela Dai, Angel Chang, Manolis Savva, Matthias Niessner Angela Dai

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Computer Vision for UAVs
Kristof Van Beeck, Toon Goedemé, Tinne Tuytelaars, Davide Scaramuzza, Marian Verhelst Kristof Van Beeck

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Perception Beyond the Visible Spectrum
Riad Hammoud, Michael Teutsch, Angel Sappa, Yi Ding Riad Hammoud

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Benchmarking Multi-Target Tracking: How crowded can it get?
Laura Leal-Taixe, Hamid Rezatofighi, Patrick Dendorfer, Anton Milan, Javen Shi, Konrad Schindler, Daniel Cremers, Stefan Roth, Ian Reid Patrick Dendorfer

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CEFRL 2019: 3rd International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision 2019
Li Liu, Yulan Guo, Wanli Ouyang, Jiwen Lu, Matti Pietikainen, Luc Van Gool, Li Liu

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Mutual benefits of cognitive and computer vision
Minh Hoai Nguyen, Krista A. Ehinger, Dimitris Samaras, Gregory Zelinsky Minh Hoai Nguyen

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Computer Vision After 5 Years
Deepak Pathak, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta Deepak Pathak , Shubham Tulsiani and Saurabh Gupta

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3D Computer Vision in Medical Environment
Vivek Singh, Yao-jen Chang, Ankur Kapoor Vivek Singh

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Conceptual Captions Challenge
Radu Soricut, Bohyung Han, Mohit Bansal, Yoav Artzi, Leonid Sigal, Ting Yao Radu Soricut