3 papers
eess.IV2020
Quantization Guided JPEG Artifact Correction
Max Ehrlich, Larry Davis, Ser-Nam Lim +1
The JPEG image compression algorithm is the most popular method of image compression because of its ability for large compression ratios. However, to achieve such high compression,…
cs.LG2018
Deep Residual Learning in the JPEG Transform Domain
Max Ehrlich, Larry Davis
We introduce a general method of performing Residual Network inference and learning in the JPEG transform domain that allows the network to consume compressed images as input. Our…
cs.CV2016
Action-Affect Classification and Morphing using Multi-Task Representation Learning
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich +1
Most recent work focused on affect from facial expressions, and not as much on body. This work focuses on body affect analysis. Affect does not occur in isolation. Humans usually c…