【CVPR2019】 教程 Tutorials List
CVPR2019 TUTORIALS 已经公布，各领域的教程总结如下
TUTORIALS
Visual Recognition and Beyond
Christoph Feichenhofer,Kaiming He, Ross Girshick, Georgia Gkioxari, Alexander Kirillov, and Piotr Dollar
???? Christoph Feichenhofer
Towards Relightable Volumetric Performance Capture of Humans
Sean Fanello, Christoph Rhemann, Graham Fyffe, Jonathan Taylor, Sofien Bouaziz, Paul Debevec, Shahram Izadi
???? Sean Fanello
Map Synchronization: from Object Correspondences to Neural Networks
Qixing Huang, Xiaowei Zhou , Junyan Zhu and Tinghui Zhou
???? Qixing Huang
Camera based Physiological Measurement
Wenjin Wang , Sveta Zinger and Gerard de Haan
???? Wenjin Wang
The Art of Solving Minimal Problems in Computer Vision
Zuzana Kukelova , Tomas Pajdla , Viktor Larsson, Magnus Oskarsson, Kalle Åström and Janne Heikkilä
???? Zuzana Kukelova
arget="_blank">Learning Representations via Graph-structured Networks
Sifei Liu, Varun Jampani, Xiaolong Wang , Dhruv Batra, Abhinav Gupta, Jan Kautz, Ming-Hsuan Yang
???? Sifei Liu
Deep Learning for Content Creation
Deqing Sun, Ming-Yu Liu, Orazio Gallo and Jan Kautz
???? Deqing Sun
Capsule Networks for Computer Vision
Yogesh Singh Rawat, Mubarak Shah, Ulas Bagci, Sara Sabour, Rodney LaLonde, Kevin Duarte
???? Yogesh Singh Rawat
Perception at Magic Leap
Ashwin Swaminathan , Jean-Yves Bouguet, Dan Farmer and David Molyneaux
???? Ashwin Swaminathan
Tutorial on Action Classification and Video Modeling
Efstratios Gavves, Joao Carreira, Christoph Feichtenhofer, Lorenzo Torresani, Basura Fernando
???? Efstratios Gavves
Distributed Private Machine Learning for Computer Vision: Federated Learning and Beyond
Brendan McMahan , Ramesh Raskar, Jakub Konečný, Otkrist Gupta, Hassan Takabi and Praneeth Vepakomma
???? Brendan McMahan
Recent Advances in Visual Data Summarization
Rameswar Panda, Ehsan Elhamifar, Amin Karbasi and Michael Gygli
???? Rameswar Panda
Vision meets mapping: computer vision for location-based reasoning and mapping
Xiang Ma
???? Xiang Ma
Textures, Objects, Scenes: From Handcrafted Features to CNNs and Beyond
Li Liu, Bolei Zhou, Liang Zheng, and Wanli Ouyang
???? Li Liu
Data-Driven Computational Imaging
Ashok Veeraraghavan , Guy Satat, Ramesh Raskar, Tristan Swedish, Vivek Boominathan
???? Ashok Veeraraghavan
Metalearning for Computer Vision
Nikhil Naik, Frank Hutter, Nitish Keskar, Ramesh Raskar, and Richard Socher
???? Nikhil Naik
Apollo: Open Autonomous Driving Platform
Tae Eun Choe, Liang Wang, Shiyu Song, Jiangtao Hu, Ruigang Yang,Jaewon Jung
???? Tae Eun Choe
Tutorial on Visual Recognition of Families In the Wild
Joseph Robinson, Ming Shao and Yun Fu
???? Joseph Robinson
Learning-based depth estimation from stereo and monocular images: successes, limitations and future challenges
Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai and Stefano Mattoccia
???? Matteo Poggi
Perception, Prediction, and Large Scale Data Collection for Autonomous Cars
Luc Vincent, Peter Ondruska, Ashesh Jain, Sammy Omari and Vinay Shet
???? Luc Vincent
OpenCV 4.x and more new tools for CV R&D
Alexander Bovyrin, Vadim Pisarevsky, and Nikita Manovich
???? Alexander Bovyrin
Deep Reinforcement Learning for Computer Vision
Jiwen Lu, Liangliang Ren and Yongming Rao
???? Jiwen Lu
Unifying Human Activity Understanding
Gunnar Sigurdsson and Michael Ryoo
???? Gunnar Sigurdsson
Learning Cause-and-Effect in a Tensor Framework
M. Alex O. Vasilescu, Jean Kosaffi, Lieven DeLathauwer
???? M. Alex O. Vasilescu
Bringing Robots to the Computer Vision Community
Adithyavairavan Murali , Dhiraj Gandhi, Lerrel Pinto, Deepak Pathak and Saurabh Gupta
???? Adithyavairavan Murali
ref:http://cvpr2019.thecvf.com/program/tutorials
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