| 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 | 270 | 2020 |
| 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 | 115 | 2020 |
| Interactive multi-label cnn learning with partial labels D Huynh, E Elhamifar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 90 | 2020 |
| 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 | 86 | 2022 |
| Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition D Huynh, E Elhamifar Conference on Neural Information Processing Systems (NeurIPS), 2020 | 75 | 2020 |
| Self-Supervised Multi-Task Procedure Learning from Instructional Videos E Elhamifar, D Huynh European Conference on Computer Vision, 2020 | 42 | 2020 |
| 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 | 16 | 2020 |
| 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 | 8 | 2021 |
| Spherical linear interpolation and text-anchoring for zero-shot composed image retrieval YK Jang, D Huynh, A Shah, WK Chen, SN Lim European Conference on Computer Vision, 239-254, 2025 | 6 | 2025 |
| Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval YK Jang, D Kim, Z Meng, D Huynh, SN Lim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Compositional fine-grained low-shot learning D Huynh, E Elhamifar arXiv preprint arXiv:2105.10438, 2021 | 5 | 2021 |
| 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 | 4 | 2023 |
| Method and system for learnable augmentation for time series prediction under distribution shifts D Huynh, F Elizabeth, S Vyetrenko US Patent App. 18/227,060, 2024 | | 2024 |
| 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 |
| 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 |
| Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval-Supplementary Material YK Jang, D Huynh, A Shah, WK Chen, SN Lim | | |
| Visual Information and Large Language Models: A Deeper Analysis N Labiosa, D Huynh, SN Lim | | |
Ehsan ElhamifarAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
