About Me
I am an Applied Scientist at Amazon Prime Video. I am primarily focused on studying computer vision and deep learning, with a particular emphasis on image quality assessment, self-supervised learning, semi-supervised learning, multi-modality learning, foundational models, video understanding, and video generation.
Interests
- Self/semi-supervised learning
- Multi-modality learning
- Foundation models
- Video generation
Education
PhD in Computer Vision
Clemson University
MS in Electrical and Computer Engineering
The Ohio State University
BSc in Automation
Northeastern University, China
Recent Publications
(2024).
SAM-Guided Masked Token Prediction for 3D Scene Understanding.
In NeurIPS, 2024.
(2023).
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder.
In Submission.
(2023).
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models.
In NeurIPS, 2023.
(2022).
Class-Level Confidence Based 3D Semi-Supervised Learning.
In WACV, 2023.
(2021).
Multimodal Semi-Supervised Learning for 3D Objects.
In BMVC, 2021.