Yang Fu
I will join the NVIDIA Cosmos team as a Research Scientist in June 2026, building large-scale world foundation models for Physical AI.
I am wrapping up my Ph.D. in Electrical and Computer Engineering at UC San Diego , where I have the opportunity to work with Prof. Xiaolong Wang. During my Ph.D., I was fortunate to receive the Qualcomm Innovation Fellowship (2023). Before that, I obtained my M.S. in ECE at University of Illinois at Urbana-Champaign in 2020 under the supervision of Prof. Thomas S. Huang and Prof. Humphrey Shi.
Publications
Preprints
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preprint
Conference Papers
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CVPR
Scene Reconstruction as Mapping Priors for 3D Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 Highlight
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CVPR
Grounded 3D-Aware Spatial Vision-Language Modeling
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
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CVPR
Learning to Track Instances without Video Annotations
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Oral
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AAAI
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
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ICCV
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Oral