【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
pic from pexels.com
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