CVPR 2020
Facebook at the 2020 Conference on Computer Vision and Pattern Recognition
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.
View facebook research at CVPR
The Lower-Power Vision Challenge
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.
Meet Our Team at CVPR 2020
Opuada Abusi
Technical Recruiter, AR/VR Silicon
AR/VR, Computational Photography & Intelligent Cameras, Machine Learning
Chris Bakes
PhD Recruiter, AI
Artificial Intelligence
Chris Chen
AI Recruiter
Artificial Intelligence, Computer Vision, Machine Learning
Garett Gentry
AI Leadership Recruiter
Computer Vision, Machine Learning, Natural Language Processing & Speech
Jeanine Gray
Research Recruiter
AR/VR, Computer Vision, Machine Learning
Chris Johnson
PhD and Postdoctoral Recruiter, AR/VR
AR/VR, Computer Vision, Machine Learning
Courtney Marshall
PhD and Postdoctoral Recruiter, AR/VR
AR/VR, Computer Vision, Machine Learning
Sarah Rathbun
PhD and Postdoctoral Recruiter, AR/VR
AR/VR, Computer Vision, Machine Learning
Kirsten Yocke
PhD and Postdoctoral Recruiter, AR/VR
AR/VR, Computer Vision
Facebook Video Presentations at CVPR 2020
SynSin: End-to-end View Synthesis from a Single Image
EGO-TOPO: Environment Affordances from Egocentric Video
PointRend: Image Segmentation as Rendering
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
Transferring Dense Pose to Proximal Animal Classes
Wish You Were Here: Context Aware Human Generation
What Makes Training Multi-Modal Networks Hard?
ARCH: Animatable Reconstruction of Clothed Humans
Epipolar Transformers
FroDO: From Detections to 3D Objects
Facebook Publications At CVPR 2020
See AllJune 19, 2020
Self-Supervised Learning of Pretext-Invariant Representations
June 18, 2020
12-in-1: Multi-Task Vision and Language Representation Learning
June 18, 2020
DLWL: Improving Detection for Lowshot classes with Weakly Labelled data
June 16, 2020
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
June 16, 2020
VPLNet: Deep Single View Normal Estimation with Vanishing Points and Lines
June 16, 2020
What Makes Training Multi-modal Classification Networks Hard?
Learn More about AI and AR/VR Research at Facebook
Join our team
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.
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