| Zero shot detection P Zhu, H Wang, V Saligrama IEEE Transactions on Circuits and Systems for Video Technology, 2019 | 90 | 2019 |
| Generalized zero-shot recognition based on visually semantic embedding P Zhu, H Wang, V Saligrama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 84 | 2019 |
| Don't even look once: Synthesizing features for zero-shot detection P Zhu, H Wang, V Saligrama Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 50 | 2020 |
| Cost aware inference for iot devices P Zhu, DAE Acar, N Feng, P Jain, V Saligrama The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 14 | 2019 |
| Learning classifiers for target domain with limited or no labels P Zhu, H Wang, V Saligrama International Conference on Machine Learning, 7643-7653, 2019 | 10 | 2019 |
| Low Dimensional Visual Attributes: An Interpretable Image Encoding P Zhu, R Zhu, S Mishra, V Saligrama Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 2 | 2021 |
| Learning for new visual environments with limited labels P Zhu, H Wang, V Saligrama CoRR, abs/1901.09079, 2019 | 2 | 2019 |
| Interpretable Compositional Representations for Robust Few-Shot Generalization S Mishra, P Zhu, V Saligrama IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | | 2022 |
| Fine-grained Few-shot Recognition by Deep Object Parsing R Zhu, P Zhu, S Mishra, V Saligrama arXiv preprint arXiv:2207.07110, 2022 | | 2022 |
| Learning Compositional Representations for Effective Low-Shot Generalization S Mishra, P Zhu, V Saligrama arXiv preprint arXiv:2204.08090, 2022 | | 2022 |
| Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts P Zhu, H Wang, V Saligrama arXiv preprint arXiv:1901.09079, 2019 | | 2019 |
