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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 2019Show all

4 papers · 1 filter

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…

cs.CV2019★ 2 cited

ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019

Nibal Nayef, Yash Patel, Michal Busta +8

With the growing cosmopolitan culture of modern cities, the need of robust Multi-Lingual scene Text (MLT) detection and recognition systems has never been more immense. With the go…

cs.CV2019★ 2 cited

Self-Supervised Visual Representations for Cross-Modal Retrieval

Yash Patel, Lluis Gomez, Marçal Rusiñol +2

Cross-modal retrieval methods have been significantly improved in last years with the use of deep neural networks and large-scale annotated datasets such as ImageNet and Places. Ho…

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