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Yash J. Patel

33 papers hereh-index 181.4k citations51 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author14
  • middle author17
  • last author1

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • eess.IV4
  • astro-ph.IM2
  • cs.CL1
  • cs.LG1
  • cs.SD1
same name
  • Yash J. Patel — 4 papers, h 1
  • Yash J. Patel — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedMulti-modal Wound Classification using Wound Image and Location by Deep Neural Network

76 citations · 245 across the 28 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2022★ 3 cited

Wound Severity Classification using Deep Neural Network

D. M. Anisuzzaman, Yash Patel, Jeffrey Niezgoda +2

The classification of wound severity is a critical step in wound diagnosis. An effective classifier can help wound professionals categorize wound conditions more quickly and afford…

eess.IV2020★ 1 cited

Saliency Driven Perceptual Image Compression

Yash Patel, Srikar Appalaraju, R. Manmatha

This paper proposes a new end-to-end trainable model for lossy image compression, which includes several novel components. The method incorporates 1) an adequate perceptual similar…

eess.IV2019★ 19 cited

Human Perceptual Evaluations for Image Compression

Yash Patel, Srikar Appalaraju, R. Manmatha

Recently, there has been much interest in deep learning techniques to do image compression and there have been claims that several of these produce better results than engineered c…

eess.IV2019★ 20 cited

Deep Perceptual Compression

Yash Patel, Srikar Appalaraju, R. Manmatha

Several deep learned lossy compression techniques have been proposed in the recent literature. Most of these are optimized by using either MS-SSIM (multi-scale structural similarit…

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