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

June 20, 2024

COMPUTER VISION

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

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

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