| End-to-end low cost compressive spectral imaging with spatial-spectral self-attention Z Meng*, J Ma*, X Yuan European Conference on Computer Vision (ECCV)(August 2020), ecva:/eccv_2020 …, 2020 | 220 | 2020 |
| Deep tensor admm-net for snapshot compressive imaging J Ma, XY Liu, Z Shou, X Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 208 | 2019 |
| Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment G Han, S Huang, J Ma, Y He, SF Chang Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 780-789, 2022 | 173 | 2022 |
| Few-shot object detection with fully cross-transformer G Han, J Ma, S Huang, L Chen, SF Chang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 171 | 2022 |
| Deep learning for video compressive sensing M Qiao, Z Meng, J Ma, X Yuan Apl Photonics 5 (3), 2020 | 171 | 2020 |
| COVID-19 literature knowledge graph construction and drug repurposing report generation Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ... arXiv preprint arXiv:2007.00576, 2020 | 162 | 2020 |
| Query adaptive few-shot object detection with heterogeneous graph convolutional networks G Han, Y He, S Huang, J Ma, SF Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 135 | 2021 |
| CDSA: cross-dimensional self-attention for multivariate, geo-tagged time series imputation J Ma*, Z Shou*, A Zareian, H Mansour, A Vetro, SF Chang arXiv preprint arXiv:1905.09904, 2019 | 91 | 2019 |
| Snapshot multispectral endomicroscopy Z Meng, M Qiao, J Ma, Z Yu, K Xu, X Yuan Optics Letters 45 (14), 3897-3900, 2020 | 89 | 2020 |
| Partner-assisted learning for few-shot image classification J Ma, H Xie, G Han, SF Chang, A Galstyan, W Abd-Almageed Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 88 | 2021 |
| High-speed three-dimensional shape measurement using geometry-constraint-based number-theoretical phase unwrapping W Yin, C Zuo, S Feng, T Tao, Y Hu, L Huang, J Ma, Q Chen Optics and lasers in engineering 115, 21-31, 2019 | 66 | 2019 |
| Task-adaptive negative envision for few-shot open-set recognition S Huang*, J Ma*, G Han, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection J Ma, Y Niu, J Xu, S Huang, G Han, SF Chang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 49 | 2023 |
| Supervised masked knowledge distillation for few-shot transformers H Lin, G Han, J Ma, S Huang, X Lin, SF Chang Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| Multi-modal few-shot object detection with meta-learning-based cross-modal prompting G Han, L Chen, J Ma, S Huang, R Chellappa, SF Chang arXiv preprint arXiv:2204.07841, 2022 | 24 | 2022 |
| Snapshot coherence tomographic imaging M Qiao, Y Sun, J Ma, Z Meng, X Liu, X Yuan IEEE Transactions on Computational Imaging 7, 624-637, 2021 | 21* | 2021 |
| Few-shot end-to-end object detection via constantly concentrated encoding across heads J Ma, G Han, S Huang, Y Yang, SF Chang European Conference on Computer Vision, 57-73, 2022 | 17 | 2022 |
| TempCLR: Temporal Alignment Representation with Contrastive Learning Y Yang*, J Ma*, S Huang, L Chen, X Lin, G Han, SF Chang arXiv preprint arXiv:2212.13738, 2022 | 14 | 2022 |
| MoDE: CLIP Data Experts via Clustering J Ma, PY Huang, S Xie, SW Li, L Zettlemoyer, SF Chang, WT Yih, H Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics S Arumugam*, J Ma*, U Macar, G Han, K McAulay, D Ingram, A Ying, ... Communications Medicine 3 (1), 91, 2023 | 9* | 2023 |
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia Universitycolumbia.edu의 이메일 확인됨
