| Deep residual learning in the jpeg transform domain M Ehrlich, LS Davis Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 171 | 2019 |
| Facial attributes classification using multi-task representation learning M Ehrlich, TJ Shields, T Almaev, MR Amer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 132 | 2016 |
| Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava Proceedings of the European Conference on Computer Vision, 2020 | 113 | 2020 |
| Stacked U-Nets for ground material segmentation in remote sensing imagery A Ghosh, M Ehrlich, S Shah, LS Davis, R Chellappa Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 98 | 2018 |
| Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. SR Maiya, M Ehrlich, V Agarwal, SN Lim, T Goldstein, A Shrivastava BMVC, 620-621, 2023 | 42* | 2023 |
| Nirvana: Neural implicit representations of videos with adaptive networks and autoregressive patch-wise modeling SR Maiya, S Girish, M Ehrlich, H Wang, KS Lee, P Poirson, P Wu, C Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 33* | 2023 |
| Analyzing and mitigating jpeg compression defects in deep learning M Ehrlich, L Davis, SN Lim, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26 | 2021 |
| Deep multi-task representation learning MR Amer, TJ Shields, A Tamrakar, M Ehrlich, T Almaev US Patent 12,073,305, 2024 | 13 | 2024 |
| Action-affect-gender classification using multi-task representation learning TJ Shields, MR Amer, M Ehrlich, A Tamrakar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 8* | 2017 |
| Unsupervised super-resolution of satellite imagery for high fidelity material label transfer A Ghosh, M Ehrlich, L Davis, R Chellappa IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 4 | 2019 |
| Wolf: Captioning everything with a world summarization framework B Li, L Zhu, R Tian, S Tan, Y Chen, Y Lu, Y Cui, S Veer, M Ehrlich, ... arXiv preprint arXiv:2407.18908, 2024 | 3 | 2024 |
| Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions N Padmanabhan, M Gwilliam, P Kumar, SR Maiya, M Ehrlich, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement M Ehrlich, J Barker, N Padmanabhan, L Davis, A Tao, B Catanzaro, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification E Wen, RB Sorenson, M Ehrlich European Conference on Computer Vision, 236-251, 2022 | 1* | 2022 |
| The first principles of deep learning and compression M Ehrlich University of Maryland, College Park, 2022 | 1 | 2022 |
| Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics SR Maiya, A Gupta, M Gwilliam, M Ehrlich, A Shrivastava European Conference on Computer Vision, 285-302, 2024 | | 2024 |
| Discriminative Hand Localization in Depth Images M Ehrlich, P Mordohai IEEE Symposium on 3D User Interfaces, 237-238, 2016 | | 2016 |
| Discriminative Hand Tracking from Depth Images M Ehrlich Steven's Institute of Technology, 2015 | | 2015 |
Larry DavisProfessor of Computer Science, University of Marylandcs.umd.edu의 이메일 확인됨