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04/04/2022
The First Principles of Deep Learning and Compression
The deep learning revolution incited by the 2012 Alexnet paper has been ...
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01/31/2022
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction
Video compression is a central feature of the modern internet powering t...
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10/26/2021
A Frequency Perspective of Adversarial Robustness
Adversarial examples pose a unique challenge for deep learning systems. ...
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09/03/2021
Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis
30 million Optical Coherence Tomography (OCT) imaging tests are issued e...
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05/16/2021
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer
Urban material recognition in remote sensing imagery is a highly relevan...
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11/17/2020
Analyzing and Mitigating Compression Defects in Deep Learning
With the proliferation of deep learning methods, many computer vision pr...
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04/17/2020
Quantization Guided JPEG Artifact Correction
The JPEG image compression algorithm is the most popular method of image...
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12/31/2018
Deep Residual Learning in the JPEG Transform Domain
We introduce a general method of performing Residual Network inference a...
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03/21/2016