Discriminative hand localization in depth images. - Max Ehrlich; Philippos Mordohai (3DUI, 2016)

Facial Attributes Classification Using Multi-task Representation Learning. - Max Ehrlich; Timothy J. Shields; Timur R. Almaev; Mohamed R. Amer (CVPR Workshops, 2016)

Action-Affect Classification and Morphing using Multi-Task Representation Learning. - Timothy J. Shields; Mohamed R. Amer; Max Ehrlich; Amir Tamrakar (CoRR, 2016)

Action-Affect-Gender Classification Using Multi-task Representation Learning. - Timothy J. Shields; Mohamed R. Amer; Max Ehrlich; Amir Tamrakar (CVPR Workshops, 2017)

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

Deep Residual Learning in the JPEG Transform Domain. - Max Ehrlich; Larry Davis 001 (ICCV, 2019)

Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. - Arthita Ghosh; Max Ehrlich; Larry Davis 001; Rama Chellappa (IGARSS, 2019)

Quantization Guided JPEG Artifact Correction. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (ECCV (8), 2020)

Analyzing and Mitigating Compression Defects in Deep Learning. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (CoRR, 2020)

Analyzing and Mitigating JPEG Compression Defects in Deep Learning. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (ICCVW, 2021)

Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis. - Evan Wen; Max Ehrlich (CoRR, 2021)

A Frequency Perspective of Adversarial Robustness. - Shishira R. Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava (CoRR, 2021)

ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification. - Evan Wen; ReBecca Sorenson; Max Ehrlich (ECCV Workshops (3), 2022)

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (CoRR, 2022)

The First Principles of Deep Learning and Compression. - Max Ehrlich (CoRR, 2022)

The First Principles of Deep Learning and Compression. - Max Ehrlich (2022)

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. - Shishira R. Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava (BMVC, 2023)

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. - Shishira R. Maiya; Sharath Girish; Max Ehrlich; Hanyu Wang 002; Kwot Sin Lee; Patrick Poirson; Pengxiang Wu; Chen Wang; Abhinav Shrivastava (CVPR, 2023)

VEMIC: View-aware Entropy model for Multi-view Image Compression. - Susmija Jabbireddy; Davit Soselia; Max Ehrlich; Christopher A. Metzler; Amitabh Varshney (BMVC, 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 (CVPR, 2024)

Coarse-to-Fine Human Mesh Recovery with Transformers. - Vatsal Agarwal; Mara Levy; Max Ehrlich; Youbao Tang; Ning Zhang; Abhinav Shrivastava (ECCV Workshops (13), 2024)

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. - Shishira R. Maiya; Anubhav Gupta; Matthew Gwilliam; Max Ehrlich; Abhinav Shrivastava (ECCV (15), 2024)

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (WACV, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models. - Guo Chen 006; Zhiqi Li; Shihao Wang; Jindong Jiang; Yicheng Liu; Lidong Lu; De-An Huang; Wonmin Byeon; Matthieu Le; Tuomas Rintamaki; Tyler Poon; Max Ehrlich; et al. (CoRR, 2025)

SIEDD: Shared-Implicit Encoder with Discrete Decoders. - Vikram Rangarajan; Shishira R. Maiya; Max Ehrlich; Abhinav Shrivastava (CoRR, 2025)