Max Ehrlich

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Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Mohamed R. AmerFounder and CSO at Robust.AIVerified email at robust.ai
Timothy J. ShieldsVerified email at sri.com
Abhinav ShrivastavaAssistant Professor, University of Maryland, College ParkVerified email at cs.umd.edu
Sernam LimFacebook AIVerified email at fb.com
Timur AlmaevPhD student, The University of NottinghamVerified email at nottingham.ac.uk
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Arthita GhoshAmazon.comVerified email at umd.edu
Amir TamrakarSenior Computer Scientist, SRI-International SarnoffVerified email at sri.com
Sohil ShahAI Research Scientist, Intel LabsVerified email at intel.com
Shishira R MaiyaUniversity of Maryland, College ParkVerified email at umd.edu
Vatsal AgarwalPhD @ UMD CSVerified email at umd.edu
Tom GoldsteinPerotto Associate Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Jon BarkerNVIDIA, DSTL, University of SouthamptonVerified email at nvidia.com
Andrew TaoNvidiaVerified email at nvidia.com
Bryan CatanzaroNVIDIAVerified email at acm.org
Philippos MordohaiProfessor of Computer Science, Stevens Institute of TechnologyVerified email at stevens.edu
Evan WenHigh School Student, The Pingry SchoolVerified email at pingry.org
Sharath GirishPhD student at University of Maryland, College ParkVerified email at umd.edu

Max Ehrlich

NVIDIA, University of Maryland

Verified email at nvidia.com - Homepage

Machine Learning Computer Vision Compression Low-Level Vision Computational Media


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	104	2016
Deep residual learning in the jpeg transform domain M Ehrlich, LS Davis Proceedings of the IEEE/CVF international conference on computer vision …, 2019	80	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	67	2018
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava Proceedings of the European Conference on Computer Vision, 2020	40	2020
Deep multi-task representation learning MR Amer, TJ Shields, A Tamrakar, M Ehlrich, T Almaev US Patent App. 16/085,859, 2019	9	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	7*	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	5	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	5*	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	5	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	1	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		2022
The First Principles of Deep Learning and Compression M Ehrlich University of Maryland, College Park, 2022		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		2021
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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