Max Ehrlich

33 papers A* 3A 3C 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models.
CoRR
Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
2025 J jnl
SIEDD: Shared-Implicit Encoder with Discrete Decoders.
CoRR
Vikram Rangarajan, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2025 J jnl
Wolf: Dense Video Captioning with a World Summarization Framework.
Trans. Mach. Learn. Res.
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
2024 — conf
Coarse-to-Fine Human Mesh Recovery with Transformers.
ECCV Workshops (13)
Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava
2024 A* conf
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions.
CVPR
Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024 J jnl
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions.
CoRR
Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R. Maiya, Max Ehrlich, Abhinav Shrivastava
2024 — conf
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics.
ECCV (15)
Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024 J jnl
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics.
CoRR
Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava
2024 A conf
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement.
WACV
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
2024 A conf
VEMIC: View-aware Entropy model for Multi-view Image Compression.
BMVC
Susmija Jabbireddy, Davit Soselia, Max Ehrlich, Christopher A. Metzler, Amitabh Varshney
2024 J jnl
Wolf: Captioning Everything with a World Summarization Framework.
CoRR
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
2023 A* conf
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling.
CVPR
Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
2023 A conf
Unifying the Harmonic Analysis of Adversarial Attacks and Robustness.
BMVC
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
2022 J jnl
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.
CoRR
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
2022 J jnl
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling.
CoRR
Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
2022 — conf
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification.
ECCV Workshops (3)
Evan Wen, ReBecca Sorenson, Max Ehrlich
2022 J jnl
The First Principles of Deep Learning and Compression.
CoRR
Max Ehrlich
2022 — —
The First Principles of Deep Learning and Compression.
Max Ehrlich
2021 J jnl
A Frequency Perspective of Adversarial Robustness.
CoRR
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
2021 — conf
Analyzing and Mitigating JPEG Compression Defects in Deep Learning.
ICCVW
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2021 J jnl
Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis.
CoRR
Evan Wen, Max Ehrlich
2021 J jnl
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer.
CoRR
Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
2020 J jnl
Analyzing and Mitigating Compression Defects in Deep Learning.
CoRR
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2020 — conf
Quantization Guided JPEG Artifact Correction.
ECCV (8)
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2020 J jnl
Quantization Guided JPEG Artifact Correction.
CoRR
Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava
2019 A* conf
Deep Residual Learning in the JPEG Transform Domain.
ICCV
Max Ehrlich, Larry Davis
2019 C conf
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer.
IGARSS
Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa
2018 J jnl
Deep Residual Learning in the JPEG Transform Domain.
CoRR
Max Ehrlich, Larry S. Davis
2018 — conf
Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery.
CVPR Workshops
Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa
2017 — conf
Action-Affect-Gender Classification Using Multi-task Representation Learning.
CVPR Workshops
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
2016 J jnl
Action-Affect Classification and Morphing using Multi-Task Representation Learning.
CoRR
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
2016 — conf
Discriminative hand localization in depth images.
3DUI
Max Ehrlich, Philippos Mordohai
2016 — conf
Facial Attributes Classification Using Multi-task Representation Learning.
CVPR Workshops
Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer