Kevin J Liang

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Kevin is a Research Scientist at Facebook AI Applied Research (FAIR). His research interests are primarily in deep learning, particularly computer vision, continual learning, federated learning, and adversarial attacks. Before Facebook, he was at Duke University, where he completed his PhD while advised by Lawrence Carin, as well as a BSE in Electrical and Computer Engineering and Biomedical Engineering before that.

Research Areas

Kevin's Publications

November 19, 2025

COMPUTER VISION

SAM 3D: 3Dfy Anything in Images

SAM 3D Team, Jianing Yang, Georgia Gkioxari, Anushka Sagar, Aohan Lin, Bowen Song, Bowen Zhang, Fu-Jen Chu, Hao Tang, Jiawei Liu, Jitendra Malik, Kevin J Liang, Matt Feiszli, Michelle Guo, Pierre Gleize, Piotr Dollar, Alexander Sax, Thibaut Hardin, Weiyao Wang, Xiang Li, Xiaodong Wang, Xingyu Chen, Ziqi Ma

November 19, 2025

June 20, 2024

COMPUTER VISION

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

Weiyao Wang, Hao Tang, Kevin Liang, Matt Feiszli, Pierre Gleize, Xingyu Chen

June 20, 2024

October 20, 2022

COMPUTER VISION

GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction

Kevin Liang, Tal Hassner, James Clark, Samrudhdhi Bharatkumar Rangrej

October 20, 2022

March 24, 2022

Sylph: A Hypernet-Framework for Incremental Few-shot Object Detection

Li Yin, Juanma Perez Rua, Kevin Liang

March 24, 2022