Ehrlich, Max

14 publications

NeurIPS 2025 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

TMLR 2025 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, Jitendra Malik, Song Han, Marco Pavone

ECCVW 2024 Coarse-to-Fine Human Mesh Recovery with Transformers Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava

CVPR 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar, Shishira R Maiya, Max Ehrlich, Abhinav Shrivastava

ECCV 2024 Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics Shishira R Maiya, Anubhav Gupta, Matthew A Gwilliam, Max Ehrlich, Abhinav Shrivastava

WACV 2024 Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava

NeurIPSW 2024 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

CVPR 2023 NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava

ECCVW 2022 ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification Evan Wen, ReBecca Sorenson, Max Ehrlich

ICCVW 2021 Analyzing and Mitigating JPEG Compression Defects in Deep Learning Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava

ECCV 2020 Quantization Guided JPEG Artifact Correction Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava

CVPRW 2018 Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa

CVPRW 2017 Action-Affect-Gender Classification Using Multi-Task Representation Learning Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar

CVPRW 2016 Facial Attributes Classification Using Multi-Task Representation Learning Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer