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Max Ehrlich
Max Ehrlich
NVIDIA, University of Maryland
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Deep residual learning in the jpeg transform domain
M Ehrlich, LS Davis
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1362019
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
1182016
Quantization Guided JPEG Artifact Correction
M Ehrlich, L Davis, SN Lim, A Shrivastava
Proceedings of the European Conference on Computer Vision, 2020
902020
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
862018
Unifying the harmonic analysis of adversarial attacks and robustness
SR Maiya, M Ehrlich, V Agarwal, SN Lim, T Goldstein, A Shrivastava
BMVC, 2023
22*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
19*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
14*2023
Deep multi-task representation learning
MR Amer, TJ Shields, A Tamrakar, M Ehlrich, T Almaev
US Patent App. 16/085,859, 2019
122019
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
42019
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
12024
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
12022
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
N Padmanabhan, M Gwilliam, P Kumar, SR Maiya, M Ehrlich, ...
arXiv preprint arXiv:2401.10217, 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
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Articles 1–16