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Conference and Workshop Papers
- 2023
[c9]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. CVPR 2023: 12912-12922- [c8]Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg:
Low-shot Object Learning with Mutual Exclusivity Bias. NeurIPS 2023 - 2022
- [c7]Anh Thai, Stefan Stojanov, Zixuan Huang, James M. Rehg:
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction. 3DV 2022: 209-218 - [c6]Zixuan Huang
, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues. ECCV (1) 2022: 727-744 - [c5]Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg:
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. NeurIPS 2022 - 2021
- [c4]Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg:
3D Reconstruction of Novel Object Shapes from Single Images. 3DV 2021: 85-95 - [c3]Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias. CVPR 2021: 1798-1808 - 2019
- [c2]Anh Thai, Vy Bui, Laura Reyes, Lin-Ching Chang:
Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI. IEEE BigData 2019: 6229-6231 - [c1]Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg:
Incremental Object Learning From Contiguous Views. CVPR 2019: 8777-8786
Informal and Other Publications
- 2023
- [i10]Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg:
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency. CoRR abs/2304.06247 (2023) - [i9]Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg:
Low-shot Object Learning with Mutual Exclusivity Bias. CoRR abs/2312.03533 (2023) - [i8]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
ZeroShape: Regression-based Zero-shot Shape Reconstruction. CoRR abs/2312.14198 (2023) - 2022
- [i7]Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg:
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues. CoRR abs/2204.10235 (2022) - [i6]Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg:
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization. CoRR abs/2211.15059 (2022) - [i5]James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, Ngoc Anh Thai:
Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422). Dagstuhl Reports 12(10): 143-165 (2022) - 2021
- [i4]Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg:
Does Continual Learning = Catastrophic Forgetting? CoRR abs/2101.07295 (2021) - [i3]Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias. CoRR abs/2101.07296 (2021) - 2020
- [i2]Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg:
3D Reconstruction of Novel Object Shapes from Single Images. CoRR abs/2006.07752 (2020) - 2019
- [i1]Thanh Nguyen, Vy Bui, Anh Thai, Van Lam, Christopher B. Raub, Lin-Ching Chang, George Nehmetallah:
Virtual organelle self-coding for fluorescence imaging via adversarial learning. CoRR abs/1909.04518 (2019)
Coauthor Index
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