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Dat Huynh
Dat Huynh
Research Scientist, Meta AI
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Title
Cited by
Cited by
Year
Fine-grained generalized zero-shot learning via dense attribute-based attention
D Huynh, E Elhamifar
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2082020
A shared multi-attention framework for multi-label zero-shot learning
D Huynh, E Elhamifar
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
882020
Interactive multi-label cnn learning with partial labels
D Huynh, E Elhamifar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
662020
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
D Huynh, J Kuen, Z Lin, J Gu, E Elhamifar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
572022
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
D Huynh, E Elhamifar
Conference on Neural Information Processing Systems (NeurIPS), 2020
542020
Self-Supervised Multi-Task Procedure Learning from Instructional Videos
E Elhamifar, D Huynh
European Conference on Computer Vision, 2020
312020
TCO‐Based Active Dielectric Metasurfaces Design by Conditional Generative Adversarial Networks
S Jafar‐Zanjani, MM Salary, D Huynh, E Elhamifar, H Mosallaei
Advanced Theory and Simulations, 2020
122020
Compositional fine-grained low-shot learning
D Huynh, E Elhamifar
arXiv preprint arXiv:2105.10438, 2021
42021
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations
D Huynh, E Elhamifar
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Open-vocabulary multi-label image classification with pretrained vision-language model
SD Dao, D Huynh, H Zhao, D Phung, J Cai
2023 IEEE International Conference on Multimedia and Expo (ICME), 2135-2140, 2023
12023
Open vocabulary instance segmentation with noise estimation and robust student
JWY Kuen, DB Huynh, Z Lin, J Gu
US Patent App. 17/806,097, 2023
2023
Open vocabulary instance segmentation
JWY Kuen, DB Huynh, Z Lin, J Gu
US Patent App. 17/650,437, 2023
2023
Few-Shot Learnable Augmentation for Financial Time Series Prediction under Distribution Shifts
D Huynh, E Fons, S Vyetrenko
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
2022
Learning With Less Labels via Textual-to-Visual Knowledge Transfer
D Huynh
Northeastern University, 2022
2022
Machine Learning: TCO‐Based Active Dielectric Metasurfaces Design by Conditional Generative Adversarial Networks (Adv. Theory Simul. 2/2021)
S Jafar‐Zanjani, MM Salary, D Huynh, E Elhamifar, H Mosallaei
Advanced Theory and Simulations 4 (2), 2170003, 2021
2021
Seeing Many Unseen Labels via Shared Multi-Attention Models
D Huynh, E Elhamifar
Workshop on Multi-Discipline Approach for Learning Concepts, ICCV, 2019
2019
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