Max Ehrlich
Max Ehrlich
NVIDIA, University of Maryland
Verified email at - Homepage
Cited by
Cited by
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
Deep residual learning in the jpeg transform domain
M Ehrlich, LS Davis
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
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
Quantization Guided JPEG Artifact Correction
M Ehrlich, L Davis, SN Lim, A Shrivastava
Proceedings of the European Conference on Computer Vision, 2020
Deep multi-task representation learning
MR Amer, TJ Shields, A Tamrakar, M Ehlrich, T Almaev
US Patent App. 16/085,859, 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
A frequency perspective of adversarial robustness
SR Maiya, M Ehrlich, V Agarwal, SN Lim, T Goldstein, A Shrivastava
arXiv preprint arXiv:2111.00861, 2021
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
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
Leveraging bitstream metadata for fast and accurate video compression correction
M Ehrlich, J Barker, N Padmanabhan, L Davis, A Tao, B Catanzaro, ...
arXiv preprint arXiv:2202.00011, 2022
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, ...
arXiv preprint arXiv:2212.14593, 2022
The First Principles of Deep Learning and Compression
M Ehrlich
University of Maryland, College Park, 2022
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification
E Wen, R Sorenson, M Ehrlich
arXiv preprint arXiv:2109.02436, 2021
Discriminative Hand Localization in Depth Images
M Ehrlich, P Mordohai
IEEE Symposium on 3D User Interfaces, 237-238, 2016
Discriminative Hand Tracking from Depth Images
M Ehrlich
Steven's Institute of Technology, 2015
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