- Paper 'Segment Anything' received Best Paper Honorable Mention at ICCV 2023
- Paper 'Exploring Plain Vision Transformer Backbones for Object Detection' published at ECCV 2022
- Paper 'A ConvNet for the 2020s' published at CVPR 2022
- Paper 'Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis' published at ICDM 2020
- Paper 'Gap Filling of High-Resolution Soil Moisture for SMAP/Sentinel-1: A Two-layer Machine Learning-based Framework' published at Water Resources Research 2019
Research Experience
- Research tech lead, Cosmos-Predict2 project
- Research tech lead, Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control project
- Research tech lead, Cosmos World Foundation Model Platform for Physical AI project
- Contributor to the Segment Anything project
- Published papers in top international conferences such as ICCV, ECCV, and CVPR.
Education
Ph.D. in Computer Science from Texas A&M University, supervised by Nick Duffield.
Background
Research Interests: Computer Science, Artificial Intelligence. Brief Introduction: Currently a research scientist at NVIDIA Deep Imagination Research, previously worked as a research scientist at Fundamental AI Research (FAIR), Meta.