Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra, Laurens van der Maaten
Facebook is thrilled to contribute to CVPR 2020. This year, we will present over 35 papers at the conference and participate in more than 35 workshops and tutorials. These results come from across Facebook’s diverse research teams working in AI, AR/VR, computational photography, robotics, and many more. We seek to advance the state-of-the-art in computer vision through fundamental and applied research in open collaboration with CVPR’s dynamic scientific community. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference. Research is at the core of this mission and our teams focus on projects we believe will have the most positive impact on people and society. Explore this page for more details on our research, scheduled events and collaboration, and career opportunities.
PyTorch researchers and developers are invited to join the 2020 CVPR Lower-Power Vision Challenge (LPVC) — Online Track for UAV video. The goal of this challenge is to build a system that can discover and recognize characters in video captured by an unmanned aerial vehicle (UAV) accurately using PyTorch Mobile and Raspberry Pi 3B+. Online submission is open July 1, 2020 to July 31, 2020.
Ishan Misra, Laurens van der Maaten
Jiasen Lu, Vedanuj Goswami, Devi Parikh, Stefan Lee
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
Rui Wang, David Geraghty, Kevin Matzen, Richard Szeliski, Jan-Michael Frahm
Weiyao Wang, Matt Feiszli
Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang
Our open culture and diverse teams of experts, along with our emphasis on academic collaboration and sharing model, deliver a unique chance to grow as a researcher and engineer while directly contributing new ideas and technologies that impact experiences of billions of people around the world.