Max Ehrlich

Adjunct, University of Maryland, College Park

Researcher, NVIDIA

Joined

July 2019

Names

Max Ehrlich (Preferred)

Emails

****@umiacs.umd.edu (Confirmed)

****@nvidia.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Adjunct

University of Maryland, College Park (umd.edu)

2023 – Present

Researcher

NVIDIA (nvidia.com)

2022 – Present

PhD student

University of Maryland, College Park (umd.edu)

2017 – 2022

Intern

NVIDIA (nvidia.com)

2021 – 2021

Researcher

SRI International (sri.com)

2011 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Abhinav Shrivastava

Present

PhD Advisor

Larry Davis

Present

Expertise

Compression

Present

Deep Learning

Present

Publications

Wolf: Dense Video Captioning with a World Summarization Framework
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 et al. (3 additional authors not shown)
- CoRL 2025 Robot Data Workshop
- Readers: Everyone
Wolf: Dense Video Captioning with a World Summarization Framework
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 et al. (3 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
- NeurIPS 2025 poster
- Readers: Everyone
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
Shishira Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
- Readers: Everyone
Wolf: Accurate Video Captioning with a World Summarization Framework
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 et al. (3 additional authors not shown)
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Wolf: Captioning Everything with a World Summarization Framework
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
- Video-Langauge Models Oral
- Readers: Everyone
The First Principles of Deep Learning and Compression
Max Ehrlich
- 2022 (modified: 09 Nov 2022)
- CoRR 2022
- Readers: Everyone
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
- 2022 (modified: 09 Nov 2022)
- CoRR 2022
- Readers: Everyone
A Frequency Perspective of Adversarial Robustness
Shishira Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Analyzing and Mitigating JPEG Compression Defects in Deep Learning
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
- 2021 (modified: 09 Nov 2022)
- ICCVW 2021
- Readers: Everyone

View all 24 publications

Co-Authors

View all 61 co-authors