Minds vs. Machines: How Far Are We From the Common Sense of a Toddler? ISIC Skin Image Analysis Workshop @ CVPR 2020 Hosted by the International Skin Imaging Collaboration (ISIC). Image Matching: Local Features and Beyond, Catch UAVs That Want to Watch You: Detection and Tracking of Unmanned Aerial Vehicle in the Wild. Papers are limited to eight pages, including figures and tables, in the CVPR style. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. We will again have three competitions for different visual localization scenarios. Additional pages containing only cited references are allowed. The AI City Workshop at CVPR 2020 will specifically focus on ITS problems such as: Turn-counts used by DOTs for signal timing planning City-scale multi-camera vehicle re-identification w. real and synthetic training data City-scale multi-camera vehicle tracking Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. It will inherit the successful benchmark dataset, platform and evaluation tools used by the first two UG2 workshops, but will also look at brand new aspects of the overall problem, significantly augmenting its existing scope. KITTI-MOTS submission and leaderboards can be found here. Intel Labs has joined with academia and industry leaders in continual learning (CL) to co-organize the CVPR 2020 Workshop on Continual Learning in Computer Vision (CLVISION) on June 14. Winners of this challenge will receive awards sponsored by Microsoft. The second key component of this event will bea discussion about current research and appl… These CVPR 2020 workshop papers are the Open Access versions, provided by the. Please check CVPR20 FAQ pagefor details. . The Embodied AI 2020 workshop will be held in conjunction with CVPR 2020 in Seattle, WA over two days, Jun 14 and Jun 15. The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture in conjunction with IEEE/CVF CVPR 2020. The 3rd Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition (UG2+) in conjunction with IEEE CVPR 2020 Zhangyang (Atlas) Wang, Walter Scheirer, Ashok Veeraraghavan, Jiaying Liu, Risheng Liu, Wenqi Ren, Wenhan Yang, Yingyan Lin, Ye … Introduction. The workshop submission deadline is Friday, October 16th, 2020 [11:59pm Pacific Standard Time] When preparing a proposal, please note that CVPR 2020 author notification is on Feb 23, 2021. June 15th, 2020 Seattle, Washington in conjunction with CVPR 2020 Joint Workshop on Efficient Deep Learning in Computer Vision June 15th, 2020 Seattle, Washington in conjunction with CVPR 2020 IEEE CVPR WORKSHOP ON FAIR, DATA EFFICIENT AND TRUSTED COMPUTER VISION. NEW (6/15/2020): Video of Opening Remarks posted NEW (6/14/2020): Videos and Slides of Paper Presentations posted NEW (6/14/2020): Videos of Invited Talks posted NEW (6/14/2020): Open-Access Workshop Proceedings available NEW (6/13/2020): CVPR Virtual Site launched Ayush Shrivastava, Drew Hudson, Vishvak Murahari, Abhishek Das, Satwik Kottur, Dhruv Batra, Devi Parikh, Aishwarya Agrawal, VizWiz Grand Challenge: Describing Images from Blind People, Danna Gurari, Meredith Ringel Morris, Edward Cutrell, Jeffrey Bigham, Abigale Stangl, Yinan Zhao, https://vizwiz.org/workshops/2020-workshop/, Kathryn Leonard, Arsha Nagrani, Boyi Li, Srishti Yadav, Hazel Doughty, Nour Karessli, Azadeh Mobasher, Cari Martinez, https://sites.google.com/view/wicvworkshop-cvpr2020/, Workshop on Efficient Deep Learning for Computer Vision, Li Liu, Yu Liu, Wanli Ouyang, Jiwen Lu, Matti Pietikäinen, Luc Van Gool, Chris Rowen, Peizhao Zhang, Pete Warden, Kurt Keutzer, Jonathan Dekhtiar, Wojciech Samek, Yingyan Lin, Werner Bailer, Peter Vajda, Workshop on Fair, Data-Efficient and Trusted Computer Vision. When preparing a proposal, please note that the camera-ready deadline for workshop papers is on Apr 20, 2021. Important Dates. Radu Timofte, Ming-Hsuan Yang, Shuhang Gu, Martin Danelljan, Kai Zhang, Zhiwu Huang, Kyoung Mu Lee, Lei Zhang, Eli Shechtman, Seungjun Nah, Luc Van Gool, Boaz Arad, Abdelrahman Abdelhamed, Mahmoud Afifi, Cosmin Ancuti, Codruta Ancuti, OmniCV: Omnidirectional Computer Vision in Research and Industry, Marc Eder, Jan-Michael Frah, Li Guan, Jonathan Horgan, Ciaran Hughes, Stefan Milz, Pierre Moulon, Patrick Perez, Senthil Yogamani, https://sites.google.com/view/omnicv-cvpr2020/, Revolutionizing the World of Retail - New Computer Vision Challenges, Ehud Barnea, Pan Pan, Itamar Friedman, Avi Ben-Cohen, Eran Goldman, SAIAD - Safe Artificial Intelligence for Automated Driving, Timo Sämann, Loren Schwarz, Frederik Blank, Markus Enzweiler, Oliver Wasenmüller, Oliver Grau, Stefan Rüping, Joachim Sicking, Seyed Eghbal Ghobadi, Peter Schlicht, Fabian Hüger, Yuning Chai, Henrik Kretzschmar, Yin Zhou, Pei Sun, Lukas Neumann, Andrea Vedaldi, Andreas Geiger, Dragomir Anguelov, https://sites.google.com/view/cvpr20-scalability, Andrew Owens, Jiajun Wu, Jean-Charles Bazin, Andrew Zisserman, William Freeman, Antonio Torralba, Kristen Grauman, Ruohan Gao,  Arsha Nagrani,  Hang Zhao, Text and Documents in the Deep Learning Era, R. Manmatha, Dimosthenis Karatzas, Jon Wu, Meng Wang, Yuting Zhang, Vijay Mahadevan, Alicia Fornes and C. V. Jawahar, The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture, Humphrey Honghui Shi, Naira Hovakimyan, Thomas S. Huang, Zhen Li, Adrian Tudor, Robert E. Paull, The 3rd Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition (UG2+) in conjunction with IEEE CVPR 2020, Zhangyang (Atlas) Wang, Walter Scheirer, Ashok Veeraraghavan, Jiaying Liu, Risheng Liu, Wenqi Ren, Wenhan Yang, Yingyan Lin, Ye Yuan, Jasper Tan, The DAVIS Challenge on Video Object Segmentation, Sergi Caelles, Alberto Montes, Federico Perazzi, Jordi Pont-Tuset, Kevis-Kokitsi Maninis, Luc Van Gool, https://davischallenge.org/challenge2020/index.html, The End-of-End-to-End A Video Understanding Pentathlon, Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, https://www.robots.ox.ac.uk/~vgg/challenges/video-pentathlon/, Towards Human-Centric Image/Video Synthesis, and the 4th Look Into Person (LIP) Challenge, Xiaodan Liang, Haoye Dong, Zhenyu Xie, Jiashi Feng, Liang Lin, Song-Chun Zhu, Vision for all Seasons: Adverse Weather and Lighting Conditions, Dengxin Dai, Christos Sakaridis, Robby T. Tan, Chen Chen, Marc Proesmans, Daniel Olmeda Reino, Wim Abbeloos, Roberto Cipolla, Jiri Matas, Bernt Schiele, Luc Van Gool, Visual Learning with limited labels: zero-shot, few-shot, any-shot, and cross-domain few-shot learning, Rogerio Feris, Leonid Karlinsky, Bishwaranjan Bhattacharjee, Noel Codella, Joseph Shtok, Alex Bronstein, https://www.learning-with-limited-labels.com/. Safe Artificial Intelligence for Automated Driving, Adversarial Machine Learning in Computer Vision, Challenges and Promises to Inferring Emotion From Images and Video, Efficient Deep Learning for Computer Vision, Fair, Data-Efficient and Trusted Computer Vision, Long Term Visual Localization, Visual Odometry and Geometric and Learning-Based SLAM, Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture, Diagram Image Retrieval and Analysis: Representation, Learning, and Similarity Metrics, Towards Human-Centric Image/Video Synthesis and the Look-Into-Person Challenge, EarthVision: Large Scale Computer Vision for Remote Sensing Imagery, Omnidirectional Computer Vision in Research and Industry, Vision for All Seasons: Adverse Weather and Lighting Conditions, Computer Vision for Physiological Measurement, Visual Learning With Limited Labels: Zero-Shot, Few-Shot, Any-Shot, and Cross-Domain Few-Shot Learning, New Trends in Image Restoration and Enhancement, Bridging the Gap Between Computational Photography and Visual Recognition, Differential Geometry in Computer Vision and Machine Learning, Text and Documents in the Deep Learning Era, Computer Vision for Microscopy Image Analysis. Please see the main workshop page for details. Two of our talks, by Dr. Lu Yu (talk page here) and team IMCL_MSSSIM (talk page here) will be hosted here on compression.cc. Video Recordings on YouTube. Challenge will be ope… 15th IEEE Computer Society Biometrics Workshop, https://vislab.ucr.edu/Biometrics2020/index.php, 16th IEEE CVPR Workshop on Perception Beyond the Visible Spectrum, Riad I. Hammoud, Michael Teutsch, Angel D. Sappa, Yi Ding, 2nd CVPR Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics, Siyuan Huang, Chuhang Zou, Hao Su, Alexander Schwing, Shuran Song, Jiajun Wu, Siyuan Qi, Yixin Zhu, David Forsyth, Derek Hoiem, Leonidas Guibas, and Song-Chun Zhu, 2nd ScanNet Indoor Scene Understanding Challenge, Angela Dai, Angel X. Chang, Manolis Savva, Matthias Nießner, http://www.scan-net.org/cvpr2020workshop/, 2nd Workshop on Learning from Imperfect Data, Yunchao Wei, Shuai (Kyle) Zheng, Ming-Ming Cheng, Hang Zhao, Errui Ding, Yi Yang, Antonio Torralba, 2nd Workshop on Learning from Unlabeled Videos (LUV), Yale Song, Carl Vondrick, Katerina Fragkiadaki, Honglak Lee, Rahul Sukthankar, 2nd Workshop on Precognition: Seeing through the Future, Khoa Luu, Kris Kitani, Minh Hoai Nguyen, Hien Van Nguyen, Nemanja Djuric, Utsav Prabhu, https://sites.google.com/view/ieeecvf-cvpr2020-precognition/home, 3rd Workshop and Challenge on Learned Image Compression, George Toderici, Wenzhe Shi, Eirikur Agustsson, Radu Timofte, Lucas Theis, Johannes Ballé, Nick Johnston, Fabian Mentzer, 3rd Workshop on Computer Vision For Fashion, Art and Design, Hui Wu, Negar Rostamzadeh, Yuying Ge, Wei Zhang, Leonidas Lefakis, Xiaoxiao Guo, Ruimao Zhang, Chris Pal, https://sites.google.com/view/cvcreative2020, Milind Naphade, Shuo Wang, Liang Zheng, Xiaodong Yang, David C Anastasiu, Anuj Sharma, Zheng Tang, Ming-Ching Chang, Rama Chellappa, Arslan Basharat, Christoph Bregler, Cristian Canton (*), Davide Cozzolino, Edward Delp, Sergio Escalera, Hany Farid, Sam Gregory, Guodong Guo, Isabelle Guyon, Hugo Jair, Laura Leal-Taixé,  Scott McCloskey, Matthias Nießner, Andreas Rössler, Christa Scharfenberg, Justus Thies, Luisa Verdoliva, Jun Wan These CVPR 2020 workshop papers are the Open Access versions, provided by the Computer Vision Foundation. A key component of this event will be to track progress on a new dataset challenge, where the task is to caption images taken by people who are blind. We will award the best performing method in each track with prizes at the end of the workshop. Workshop Theme Note that while CVPR20 will happen in June as scheduled, the odds of a purely virtual meeting are significant. GitHub Repo for Dataset & Papers. Fourth Workshop on Computer Vision for AR/VR June 15, 2020 Organized in conjunction with CVPR 2020 All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. All submissions will be handled electronically via the workshop’s CMT Website. Invited Speakers & Panelists. This one-day virtual workshop will be held during CVPR 2020, one of the top conferences for computer vision, machine learning and artificial intelligence (AI) trends. Conventional deep learning architectures involve composition of simple feedforward processing functions that are explicitly defined. The CCD workshop is part of the CVPR 2020 workshops. CVPR 2020 Workshop, 14 June, Seattle, Washington, USA (15 June 2020): All recorded talks are available here. Notification by: October 31st, 2019 We are soliciting proposals for workshops to be held together with the 2020 Computer Vision and Pattern Recognition Conference (CVPR 2020). Nov 1: We have been approved for the Third Workshop and Challenge on Learned Image Compression at CVPR 2020. Thanks to the generous donation from Amazon’s Mechanical Turk and Augmented AI (A2I) teams we were able to offer $10K in funding. DiffCVML 2020 will be held on Friday June 19'th and will be fully virtual. CVPR 2020 Workshop, Seattle, WA 14th of June 2020 Please give us your feedback on how the workshop went using this Google form. Talk given on 2020-06-15. Stop by our virtual booth to chat with our experts to learn more about our research and open opportunities. 3D scene understanding for indoor environments is becoming an increasingly important area. CVPR 2020 Workshop Deep Declarative Networks. 2020 CVPR has been annouced to be a virtual envent. Make sure to catch Satya Nadella’s Fireside Chat at 9:00 PDT on Tuesday, June 16. The workshops will take place on June 14, 15 and 19 at the same venue as the main conference. Data, annotations and tools can be downloaded from here. You can find the workshop page for last year's competition here. June 15th, Full Day, Fourth Workshop on Computer Vision for AR/VR, Fernando De la Torre , Sofien Bouaziz, Harald Haraldsson, Serge Belongie, Andrew Rabinovich, Matt Uyttendaele, https://mixedreality.cs.cornell.edu/workshop/2020/, Image Matching: Local Features and Beyond, Vassileios Balntas, Vincent Lepetit, Jiri Matas, Dmytro Mishkin, Johannes Schoenberger, Eduard Trulls, Kwang Moo Yi, https://image-matching-workshop.github.io/, International Challenge on Activity Recognition (ActivityNet), Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, International Workshop and Challenge on Computer Vision for Physiological Measurement, Wenjin Wang*, Xiaobai Li*, Daniel McDuff, Sander Stuijk, Hu Han, Antitza Dantcheva, Guoying Zhao, Shiguang Shan (*primary contact), Joint workshop on Long Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM, Torsten Sattler, Vassileios Balntas, Lars Hammarstrand, Huub Heijnen, Fredrik Kahl, Fredrik Kahl, Will Maddern, Krystian Mikolajczyk, Tomas Pajdla, Marc Pollefeys, Johannes L. Schönberger, Josef Sivic, Pablo Speciale, Carl Toft, Akihiko Torii,Guoyu Lu, Friedrich Fraundorfer, Yan Yan, Nicu Sebe, Chandra Kambhamettu, Sebastian Scherer, Ashish Kapoor, Wenshan Wang, https://sites.google.com/view/vislocslamcvpr2020/home, Language & Vision with applications to Video Understanding, Qi Wu, Xin Wang, Chenxi Liu, Licheng Yu, Lu Jiang, Yan Huang, Ting Yao, Qin Jin, William Wang, Anton van den Hengel, Andrei Barbu, Siddharth N., Dan Gutfreund, Philip Torr, Florian Golemo, Sai Rajeswar, David Vazquez, Pedro O. Pinheiro, Angel X. Chang, Siddhartha Chaudhuri, Qixing Huang, Daniel Ritchie, Manolis Savva, Kai Xu, Hao (Richard) Zhang, Aaron Courville and Derek Nowrouzezahrai, Low-Power Computer Vision Competition (LPCVC), Hartwig Adam, Mohamed M. Sabry Aly, Alexander, C Berg, Yiran Chen, Bo Chen, Yen-Kuang Chen, Andrew Howard, Christian Keller, Jaeyoun Kim, Mark Liao, Yung-Hsiang Lu, An Luo, Ryan McBee, Andreas Moshovos, Ashish Sirasao, Joseph Spisak, Yueh-Hua Wu, Junsong Yuan, Le Lu, Tal Arbel, Leo Grady, Nicolas Padoy, https://sites.google.com/view/mcv-cvpr2020/. (*) Person of contact, https://sites.google.com/view/wmediaforensics2020, 4th Workshop on Visual Understanding by Learning from Web Data, Wen Li, Hilde Kuehne, Suman Saha, Qin Wang, Limin Wang, Wei Li, Jesse Andrej is the Senior Director of AI at Tesla, where he leads the team responsible for all neural networks on the Autopilot. Nov 20th: The website of the 2020 edition of the workshop/challenge is online! The workshop submission deadline is Friday, October 16th, 2020 [11:59pm Pacific Standard Time] When preparing a proposal, please note that CVPR 2020 author notification is on Feb 23, 2021. The CVPR 2020 Workshop on Autonomous Driving (WAD) aims to gather researchers and engineers from academia and industry to discuss the latest advances in perception for autonomous driving. June 12th: Our CVPR workshop is live today! Please see the CVPR webpage for information on venue, accommodations, and other details. CVPR 2020: Workshop on Media Forensics 2020, Apr 08 Cristian Canton Sam Gregory Laura Leal-Taixé Christoph Bregler Hany Farid Matthias Nießner Sergio Escalera Edward Delp Scott McCloskey Isabelle Guyon Arslan Basharat Justus Thies Luisa Verdoilva Hugo Jair Escalante Christa Scharfenberg Andreas Rössler Jun Wan Davide Cozzolino Guo Guodong Alexander Toshev, Roberto Mart´ın-Mart´ın, Amir Zamir, Jie Tan, Aleksandra Faust, Anelia Angelova These CVPR 2020 workshop papers are the Open Access versions, provided by the Computer Vision Foundation. The LPCVC features 3 tracks sponsored by Facebook, Xilinx, and Google will be hosted online. Style sheets (Latex, Word) are available here. Nalini Ratha, Mayank Vatsa, Richa Singh, Kush Varshney, Michele Merler, Karthik Nandakumar, Sharath Pankanti, Vishal Patel, Kuan-Chuan Peng, Ziyan Wu, Zeynep Akata, Srikrishna Karanam, Adriana Kovashka, Rama Chellappa, Rogerio Feris, Workshop on Learning from Instructional Videos, Ehsan Elhamifar, Juan Carlos Niebles, Jason Corso, https://sites.google.com/view/wliv20/home, Yan Huang, Amir Zadeh, Qi Wu, Li Liu, Louis-Philippe Morency, Liang Wang, Matti Pietikäinen, Pietro Morerio, Paolo Rota, Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino. Submission Deadline: May 6, 2020 (11:59pm Anywhere on Earth time, UTC-12) Notification: May 12, 2020; Workshop Day: June 19, 2020; Challenges VATEX Captioning Challenge 2020 The CCD workshop is part of the CVPR 2020 workshops. The Computer Vision International workshop and Challenge on Agriculture-Vision: Challenges & Opportunities Computer... 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