5 citations · 12 across the 8 of their papers we have counts for
4 papers · 1 filter
The First Principles of Deep Learning and Compression
Max Ehrlich
The deep learning revolution incited by the 2012 Alexnet paper has been transformative for the field of computer vision. Many problems which were severely limited using classical s…
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement
Max Ehrlich, Jon Barker, Namitha Padmanabhan +4
Video compression is a central feature of the modern internet powering technologies from social media to video conferencing. While video compression continues to mature, for many c…
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification
Evan Wen, Rebecca Sorenson, Max Ehrlich
30 million Optical Coherence Tomography (OCT) imaging tests are issued annually to diagnose various retinal diseases, but accurate diagnosis of OCT scans requires trained eye care…
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,…