Xiaodong Yang is a Senior Research Scientist at NVIDIA Research. His research interests include computer vision, machine learning, deep learning, and multimedia. He has been working on image and video understanding, activity recognition and detection, face and gesture analytics, target re-identification, generative models for image and video generation and understanding, etc.
Giving a tutorial on recurrent neural networks for video analytics at GTC 2019.
Three papers accepted by CVPR 2019 on person re-id, action detection, and multi-target multi-camera tracking.
Co-organizing the AI City Challenge at CVPR 2019.
One paper accepted by TPAMI on optical flow estimation.
Our PWC-Net wins the first place on the optical flow competition of CVPR 2018 Robust Vision Challenge!
Three papers accepted by CVPR 2018 on recurrent networks, optical flow estimation, and video generation.
Our dynamic facial analysis work, part of NVIDIA AI Co-Pilot, featured in NVIDIA Blog.
One paper accepted by CVPR 2017 on face alignment and head pose estimation.