I am an applied scientist working with Dr. Mu Li and Dr. Alex Smola in Amazon AI. Before joining Amazon, I received my PhD at UC Merced under the supervision of Prof. Shawn Newsam. My research interests mainly focus on video understanding, representation learning, semantic segmentation, and flow/depth estimation.
We have several intern positions for Summer and Fall 2021, please contact me if you are interested in contributing to open source projects and doing research in video self-supervised learning, multimodality learning and transformer for vision.
03/2021: One CVPR 2021 paper on universal domain adaptation is accepted.
02/2021: I will organize the 2nd A comprehensive tutorial on video modeling in CVPR 2021. Stay tuned.
12/2020: One survey paper on video action recognition is released together with GluonCV 0.9.0.
10/2020: One NeurIPS 2020 workshop paper on self-supervised representation learning is accepted.
08/2020: One WACV 2021 paper on semantic segmentation domain adaptation is accepted.
07/2020: One ECCV 2020 paper on video adversarial attack is accepted.
02/2020: I will organize a tutorial A comprehensive tutorial on video modeling in CVPR 2020.
12/2019: One WACV 2020 paper on overhead image geolocalization is accepted.
07/2019: One BMVC 2019 paper on video anomaly detection is accepted.
05/2019: Successfully passed dissertation defense. Thank you, Shawn, Trevor and Ming-Hsuan. My full dissertation on video understanding can be found at here.
02/2019: One CVPR 2019 paper on street scene segmentation is accepted as Oral presentation.
12/2018: One TMM 2019 paper on large-scale land use classification is accepted.
07/2018: Our work on generating ground level views from satellite imagery is covered by MIT technology review, Internet of Business, GIS Lounge, DeepTech. We also had an interview with This Week in Machine Learning & AI and the Youtube link can be found here.
06/2018: Gave a talk about the winning solution of stereo matching in Robust Vision Challenge (ROB 2018) at CVPR 2018.
04/2018: Two ICIP 2018 papers are accepted on optical flow estimation.
02/2018: One CVPR 2018 paper on zero-shot action recognition is accepted.