Max Ehrlich

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Transform Domain

Jpeg Compression

Top Venues

ECCV Workshops (3)

Publications

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)
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 (2024)
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 (2024)
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)
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)
Evan Wen, ReBecca Sorenson, Max Ehrlich
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification. ECCV Workshops (3) (2022)
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 (2022)
Max Ehrlich
The First Principles of Deep Learning and Compression. CoRR (2022)
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 (2022)
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
A Frequency Perspective of Adversarial Robustness. CoRR (2021)
Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. CoRR (2021)
Evan Wen, Max Ehrlich
Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis. CoRR (2021)
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
Analyzing and Mitigating JPEG Compression Defects in Deep Learning. ICCVW (2021)
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
Quantization Guided JPEG Artifact Correction. ECCV (8) (2020)
Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava
Quantization Guided JPEG Artifact Correction. CoRR (2020)
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
Analyzing and Mitigating Compression Defects in Deep Learning. CoRR (2020)
Max Ehrlich, Larry Davis
Deep Residual Learning in the JPEG Transform Domain. ICCV (2019)
Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. IGARSS (2019)
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)
Max Ehrlich, Larry S. Davis
Deep Residual Learning in the JPEG Transform Domain. CoRR (2018)
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
Action-Affect-Gender Classification Using Multi-task Representation Learning. CVPR Workshops (2017)
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
Action-Affect Classification and Morphing using Multi-Task Representation Learning. CoRR (2016)
Max Ehrlich, Philippos Mordohai
Discriminative hand localization in depth images. 3DUI (2016)
Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer
Facial Attributes Classification Using Multi-task Representation Learning. CVPR Workshops (2016)