Deep residual learning in the jpeg transform domain M Ehrlich, LS Davis Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 144 | 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 | 123 | 2016 |
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava Proceedings of the European Conference on Computer Vision, 2020 | 96 | 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 | 91 | 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 | 30* | 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 | 21 | 2021 |
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 | 17* | 2023 |
Deep multi-task representation learning MR Amer, TJ Shields, A Tamrakar, M Ehlrich, T Almaev US Patent App. 16/085,859, 2019 | 12 | 2019 |
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 |
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 |
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 | | 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 | | 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 |