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ORCIDMax Ehrlich
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2020 – today
- 2024
[c14]Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava:
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions. CVPR 2024: 10957-10967- [c13]Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava:
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. ECCV (15) 2024: 285-302 - [c12]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV 2024: 1506-1516 - [i13]Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava:
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions. CoRR abs/2401.10217 (2024) - [i12]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i11]Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava:
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. CoRR abs/2408.02672 (2024) - 2023
- [c11]Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava:
Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. BMVC 2023: 620-621 - [c10]Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. CVPR 2023: 14378-14387 - 2022
- [b1]Max Ehrlich:
The First Principles of Deep Learning and Compression. University of Maryland, College Park, MD, USA, 2022 - [c9]Evan Wen
, ReBecca Sorenson, Max Ehrlich:
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification. ECCV Workshops (3) 2022: 236-251 - [i10]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR abs/2202.00011 (2022) - [i9]Max Ehrlich:
The First Principles of Deep Learning and Compression. CoRR abs/2204.01782 (2022) - [i8]Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling. CoRR abs/2212.14593 (2022) - 2021
- [c8]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating JPEG Compression Defects in Deep Learning. ICCVW 2021: 2357-2367 - [i7]Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. CoRR abs/2105.07322 (2021) - [i6]Evan Wen, Max Ehrlich:
Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis. CoRR abs/2109.02436 (2021) - [i5]Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava:
A Frequency Perspective of Adversarial Robustness. CoRR abs/2111.00861 (2021) - 2020
- [c7]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. ECCV (8) 2020: 293-309 - [i4]Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. CoRR abs/2004.09320 (2020) - [i3]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating Compression Defects in Deep Learning. CoRR abs/2011.08932 (2020)
2010 – 2019
- 2019
- [c6]Max Ehrlich, Larry Davis:
Deep Residual Learning in the JPEG Transform Domain. ICCV 2019: 3483-3492 - [c5]Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. IGARSS 2019: 5144-5147 - 2018
- [c4]Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa:
Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery. CVPR Workshops 2018: 257-261 - [i2]Max Ehrlich, Larry S. Davis:
Deep Residual Learning in the JPEG Transform Domain. CoRR abs/1812.11690 (2018) - 2017
- [c3]Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar:
Action-Affect-Gender Classification Using Multi-task Representation Learning. CVPR Workshops 2017: 2249-2258 - 2016
- [c2]Max Ehrlich, Philippos Mordohai:
Discriminative hand localization in depth images. 3DUI 2016: 239-240 - [c1]Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer:
Facial Attributes Classification Using Multi-task Representation Learning. CVPR Workshops 2016: 752-760 - [i1]Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar:
Action-Affect Classification and Morphing using Multi-Task Representation Learning. CoRR abs/1603.06554 (2016)
Coauthor Index
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last updated on 2024-12-03 20:30 CET by the dblp team
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