I am a PhD student in the School of Interactive Computing (IC) at Georgia Institute of Technology, advised by Professor James M. Rehg. My research interests lie in the field of computer vision inspired by developmental psychology.
Prior to PhD, I graduated with a B.S. in Computer Science from Georgia Tech.
I’m interested in analog photography and I also play musical instruments, especially the guitar. I love water activities like paddling, kayaking, swimming, and snorkeling. I draw sometimes.
Contacts
Publications
GeCCo: Geometric and CLIP-based Consistency for Scalable Learning of 3D Object Shapes
Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg. CVPR 2023
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg. NeurIPS 2022 (Poster)
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction
Anh Thai, Stefan Stojanov, Zixuan Huang, Isaac Rehg, James M. Rehg. 3DV 2022 (Poster)
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg. ECCV 2022 (Poster)
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
Stefan Stojanov, Anh Thai, James M. Rehg. CVPR 2021 (Poster)
3D Reconstruction of Novel Object Shapes from Single Images
Anh Thai*, Stefan Stojanov*, Vijay Upadhya, James M. Rehg. 3DV 2021 (Oral)
Incremental Object Learning from Contiguous Views
Stefan Stojanov, Samarth Mishra*, Anh Thai*, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg. CVPR 2019 (Oral – Best paper finalist)
(*Equal contribution)
News
- February 2023 Our work GeCCo: Geometric and CLIP-based Consistency for Scalable Learning of 3D Object Shapes was accepted for publication at CVPR 2023
- September 2022 Our work Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization was accepted for poster publication at NeurIPS 2022
- August 2022 Our work The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction was accepted for poster publication at 3DV 2022
- July 2022 Our work Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues was accepted for poster publication at ECCV 2022
- April 2022 I was selected to participate in ICVSS 2022 in Sicily, Italy
- October 2021 Our work 3D Reconstruction of Novel Object Shapes from Single Images was accepted for oral publication at 3DV 2021
- February 2021 Our work Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias was accepted for poster publication at CVPR 2021
- January 2021 I accepted Summer 2021 research internship offer at Facebook Reality Labs Research
- August 2019 I am officially a first-year PhD student at Georgia Tech
- April 2019 I will be attending Georgia Tech starting from Fall 2019 to pursue a PhD in Computer Science
- March 2019 Our work Incremental Object Learning from Contiguous Views was accepted for oral presentation at CVPR 2019
Anh N. Thai (Ant) 