CVPR 2022

Meta is thrilled to be a Platinum Sponsor of the Computer Vision and Pattern Recognition Conference (CVPR). The conference will take place June 19-23, attendees will gather in-person in New Orleans.

This year, we will present over 60 publications at the conference and participate in 29 workshops and tutorials.

Come meet us at Booth 1019 from June 21 to 23 and experience the following:

  • Project Aria
  • Egocentric Perception
  • Self-Supervised Learning Demos
  • Avatar Puppeteering Demo

Featured Event

LXAI Social

LatinX in AI will host an official workshop , known as LatinX in Computer Vision (LXCV), at CVPR, which will be hosted from Monday, June 19, 2022, through Thursday, June 24, 2022.

Meta is a proud supporter of LatinX in AI and will sponsor this year’s LXCV. In addition to our sponsorship, Meta researchers and engineers will substantially participate in LXCV as part of the workshop’s mentorship and participant engagement sessions. Our recruiters will attend the workshop as well, hoping to build connections and sharing opportunities to work at Meta in a variety of capacities. We are thrilled to be a part of this important event and look forward to seeing you all there.

Learn More

Featured Publications

Ego4D: Around the World in 3K Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhoefer, Jessica Hodgins, Christoph Lassner

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos

David Novotny, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

Masked-attention Mask Transformer for Universal Image Segmentation

Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar

Masked Autoencoders Are Scalable Vision Learners

Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer

Neural 3D Video Synthesis from Multi-View Video

Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, Zhaoyang Lv

Omnivore: A Single Model for Many Visual Modalities

Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra

PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning

Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman

Visual Acoustic Matching

Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman