Tutorials

Title (Program)

Organizers

Tutorial Website

Date

Schedule

Deep Learning and Multiple Drone Vision

Ioannis Pitas

http://icarus.csd.auth.gr/cvpr2020-tutorial-deep-learning-and-multiple-drone-vision/

19-Jun

Half-day (morning)

RANSAC in 2020

Jiri Matas, Ondrej Chum, Tat-Jun Chin, René Ranftl, Dmytro Mishkin, Dániel Baráth

http://cmp.felk.cvut.cz/cvpr2020-ransac-tutorial/

14-Jun

Full-day

Vision Models for Emerging Media Technologies and Their Impact on Computer Vision

Marcelo Bertalmío

https://www.upf.edu/web/marcelo-bertalmio/cvpr-2020-tutorial

19-Jun

Half-day (afternoon)

Visual Recognition for Images, Video, and 3D

Saining Xie, Ross Girshick, Alexander Kirillov, Yuxin Wu, Christoph Feichtenhofer, Haoqi Fan, Georgia Gkioxari, Justin Johnson, Nikhila Ravi, Piotr Dollár, Wan-Yen Lo

http://s9xie.github.io/Tutorials/CVPR2020/

15-Jun

Full-day

Image Retrieval in the Wild

Yusuke Matsui, Takuma Yamaguchi, Zheng Wang

https://matsui528.github.io/cvpr2020_tutorial_retrieval/

19-Jun

Half-day (morning)

Large Scale Holistic Video Understanding

Mohsen Fayyaz, Ali Diba, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc van Gool

https://holistic-video-understanding.github.io/tutorials/cvpr2020.html

19-Jun

Full-day

Contactless Health Monitoring With AI

Wenjin Wang, Gerard de Haan, Shiwen Mao, Xuyu Wang, Mingmin Zhao

https://sites.google.com/view/cvpr2020tutorial

19-Jun

Half-day (afternoon)

Neural Rendering

Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit K. Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer

https://www.neuralrender.com/

15-Jun

Full-day

Interpretable Machine Learning for Computer Vision

Bolei Zhou

https://interpretablevision.github.io/

15-Jun

Half-day (morning)

Automated Machine Learning Workflow for Distributed Big Data Using Analytics Zoo

Jason Dai

https://jason-dai.github.io/cvpr2020/

19-Jun

Half-day (afternoon)

Zeroth Order Optimization: Theory and Applications to Deep Learning

Pin-Yu Chen, Sijia Liu

https://sites.google.com/umich.edu/cvpr-2020-zoo

15-Jun

Half-day (afternoon)

Vision Meets Mapping 2 – Computer Vision for Location-Based Reasoning and Mapping

Xiang Ma

https://visionmeetsmapping.github.io/

19-Jun

Half-day (morning)

Disentangled 3D Representations for Relightable Performance Capture of Humans

Sean Fanello, Christoph Rhemann, Jonathan Taylor, Sofien Bouaziz, Adarsh Kowdle, Rohit Pandey, Sergio Orts-Escolano, Paul Debevec, Shahram Izadi

https://augmentedperception.github.io/cvpr2020/

14-Jun

Full-day

Recent Advances in Vision-and-Language Research

Zhe Gan, Licheng Yu, Yu Cheng, Jingjing Liu, Xiaodong He

https://rohit497.github.io/Recent-Advances-in-Vision-and-Language-Research/

15-Jun

Half-day (afternoon)

Learning and Understanding Single Image Depth Estimation in the Wild

Matteo Poggi, Fabio Tosi, Filippo Aleotti, Stefano Mattoccia, Clement Godard, Michael Firman, Jamie Watson, Gabriel Brostow

https://sites.google.com/view/cvpr-2020-depth-from-mono/home

15-Jun

Half-day (morning)

3D Face Modeling and Reconstruction

Claudio Ferrari, Stefano Berretti, Alberto Del Bimbo

https://sites.google.com/unifi.it/3dface-tutorial-cvpr20

15-Jun

Half-day (morning)

Efficient Data Annotation for Self-Driving Cars via Crowdsourcing on a Large-Scale

Alexey Drutsa, Denis Rogachevsky, Olga Megorskaya, Anton Slesarev, Evfrosiniya Zerminova, Daria Baidakova, Andrey Rykov, Alexey Golomedov

https://research.yandex.com/tutorials/crowd/cvpr-2020

15-Jun

Full-day

Learning Representations via Graph-Structured Networks

Xiaolong Wang, Sifei Liu, Saining Xie, Shubham Tulsiani, Chen Sun, Han Hu, Jan Kautz, Ming-Hsuan Yang, Abhinav Gupta, Trevor Darrell

https://xiaolonw.github.io/graphnnv2/

14-Jun

Half-day (afternoon)

How to Write a Good Review?

Laura Leal-Taixé, Torsten Sattler

https://sites.google.com/view/making-reviews-great-again/

14-Jun

Half-day (morning)

Neuro-Symbolic Visual Reasoning and Program Synthesis

Jiayuan Mao, Kevin Ellis, Chuang Gan, Jiajun Wu, Danny Gutfreund, Josh Tenenbaum

http://nscv.csail.mit.edu

14-Jun

Half-day (morning)

A Comprehensive Tutorial on Video Modeling

Yi Zhu, Zhi Zhang, Yuanjun Xiong, Mu Li

https://cvpr20-video.mxnet.io

14-Jun

Half-day (morning)

Towards Annotation-Efficient Learning: Few-Shot, Self-Supervised, and Incremental Learning Approaches

Spyros Gidaris, Karteek Alahari, Andrei Bursuc, Relja Arandjelović

https://annotation-efficient-learning.github.io/

19-Jun

Half-day (morning)

Novel View Synthesis: From Depth-Based Warping to Multi-Plane Images and Beyond

Orazio Gallo, Alejandro Troccoli, Varun Jampani

https://nvlabs.github.io/nvs-tutorial-cvpr2020/

14-Jun

Full-day

All You Need to Know About Self-Driving

Ersin Yumer, Raquel Urtasun

http://www.allaboutselfdriving.com/

14-Jun

Full-day

Cycle Consistency and Synchronization in Computer Vision

Tolga Birdal, Qixing Huang, Federica Arrigoni, Leonidas Guibas

http://synchinvision.github.io

14-Jun

Half-day (morning)

From NAS to HPO: Automated Deep Learning

Hang Zhang, Song Han, Matthias Seeger, Mu Li

http://hangzhang.org/CVPR2020/

15-Jun

Half-day (afternoon)

Fairness Accountability Transparency and Ethics and Computer Vision

Timnit Gebru, Emily Denton

https://sites.google.com/fatecv-tutorial

19-Jun

Half-day (afternoon)

Local Features: From SIFT to Differentiable Methods

Vassileios Balntas, Dmytro Mishkin, Edgar Riba

https://local-features-tutorial.github.io/

15-Jun

Half-day (morning)

Visual Physics: The Interplay Between Physics and Computer Vision

Achuta Kadambi, William Freeman, Katerina Fragkiadaki, Laura Waller, Ayan Chakrabarti

https://visual.ee.ucla.edu/visualphysicstutorial.htm

19-Jun

Half-day (afternoon)