Max Ehrlich

According to our database, Max Ehrlich authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 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

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness.

Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

The First Principles of Deep Learning and Compression.

Max Ehrlich

PhD thesis, 2022

The First Principles of Deep Learning and Compression.

Max Ehrlich

CoRR, 2022

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.

Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava

CoRR, 2022

ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification.

Evan Wen, ReBecca Sorenson, Max Ehrlich

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

A Frequency Perspective of Adversarial Robustness.

Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava

CoRR, 2021

Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis.

Evan Wen, Max Ehrlich

CoRR, 2021

Analyzing and Mitigating JPEG Compression Defects in Deep Learning.

Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Analyzing and Mitigating Compression Defects in Deep Learning.

Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava

CoRR, 2020

Quantization Guided JPEG Artifact Correction.

Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer.

Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Deep Residual Learning in the JPEG Transform Domain.

Max Ehrlich, Larry Davis

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery.

Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Action-Affect-Gender Classification Using Multi-task Representation Learning.

Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Action-Affect Classification and Morphing using Multi-Task Representation Learning.

Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar

CoRR, 2016

Facial Attributes Classification Using Multi-task Representation Learning.

Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Discriminative hand localization in depth images.

Max Ehrlich, Philippos Mordohai

Proceedings of the 2016 IEEE Symposium on 3D User Interfaces, 2016