Anh Thai

26 papers A* 6Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models.
CoRR
Anh Thai, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
2025 J jnl
SplatTalk: 3D VQA with Gaussian Splatting.
CoRR
Anh Thai, Songyou Peng, Kyle Genova, Leonidas J. Guibas, Thomas A. Funkhouser
2025 A* conf
Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation.
CVPR
Xiang Li, Zixuan Huang, Anh Thai, James M. Rehg
2024 J jnl
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences.
CoRR
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg
2024 — conf
3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences.
ECCV (38)
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli
2024 — conf
Leveraging Object Priors for Point Tracking.
ECCV Workshops (10)
Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee
2024 J jnl
Leveraging Object Priors for Point Tracking.
CoRR
Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee
2024 J jnl
Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation.
CoRR
Xiang Li, Zixuan Huang, Anh Thai, James M. Rehg
2024 A* conf
ZeroShape: Regression-Based Zero-Shot Shape Reconstruction.
CVPR
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2023 A* conf
Low-shot Object Learning with Mutual Exclusivity Bias.
NeurIPS
Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
2023 J jnl
Low-shot Object Learning with Mutual Exclusivity Bias.
CoRR
Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
2023 A* conf
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency.
CVPR
Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg
2023 J jnl
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency.
CoRR
Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg
2023 J jnl
ZeroShape: Regression-based Zero-shot Shape Reconstruction.
CoRR
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2022 A* conf
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization.
NeurIPS
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
2022 J jnl
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization.
CoRR
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
2022 — conf
Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues.
ECCV (1)
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2022 J jnl
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues.
CoRR
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2022 — conf
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction.
3DV
Anh Thai, Stefan Stojanov, Zixuan Huang, James M. Rehg
2021 — conf
3D Reconstruction of Novel Object Shapes from Single Images.
3DV
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
2021 J jnl
Does Continual Learning = Catastrophic Forgetting?
CoRR
Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg
2021 A* conf
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias.
CVPR
Stefan Stojanov, Anh Thai, James M. Rehg
2021 J jnl
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias.
CoRR
Stefan Stojanov, Anh Thai, James M. Rehg
2020 J jnl
3D Reconstruction of Novel Object Shapes from Single Images.
CoRR
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
2019 — conf
Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI.
IEEE BigData
Anh Thai, Vy Bui, Laura Reyes, Lin-Ching Chang
2019 J jnl
Virtual organelle self-coding for fluorescence imaging via adversarial learning.
CoRR
Thanh Nguyen, Vy Bui, Anh Thai, Van Lam, Christopher B. Raub, Lin-Ching Chang, George Nehmetallah