Four papers accepted by ECCV 2020 (on person re-id, object detection, data synthesis, and phrase grounding); one paper accepted by CVPR 2020 (on weakly-supervised object detection); co-organized the AI City Challenge at CVPR 2020; work on dancing to music featured on NVIDIA Blog; one paper accepted by NeurIPS 2019 (on music to dance generation); two papers accepted by ICCV 2019 (on video object detection and vehicle re-id); recognized as an outstanding reviewer at CVPR 2019; three papers accepted by CVPR 2019 (on person re-id, action detection, and multi-target multi-camera tracking).
Research Experience
Senior Research Scientist at NVIDIA Research; gave a talk on temporal modeling and data synthesis at CMU; presented a tutorial on recurrent neural networks for video analytics at GTC 2019.
Background
Senior Research Scientist with research interests in computer vision, machine learning, deep learning, and multimedia. Works on image and video understanding, activity recognition and detection, face and gesture analytics, target re-identification, image and video generation, etc.