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Pradeep Sen

17 papers hereh-index 304.5k citations82 works total

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

author position
  • sole author1
  • middle author7
  • last author7

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • astro-ph.IM1
  • cs.DC1
  • cs.GR1
  • math.AP1
  • physics.optics1
same name
  • Pradeep Sen — 4 papers, h 2
  • Pradeep Sen — 1 paper, h 2
  • Pradeep Sen — 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
20132022
most citedDeep Appearance Prefiltering

11 citations · 38 across the 15 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 2 cited

PieAPP: Perceptual Image-Error Assessment through Pairwise Preference

Ekta Prashnani, Hong Cai, Yasamin Mostofi +1

The ability to estimate the perceptual error between images is an important problem in computer vision with many applications. Although it has been studied extensively, however, no…

cs.CV2018

Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images

Chieh-Chi Kao, Yuxiang Wang, Jonathan Waltman +1

Image hallucination and super-resolution have been studied for decades, and many approaches have been proposed to upsample low-resolution images using information from the images t…

cs.CV2018★ 3 cited

Improving the Resolution of CNN Feature Maps Efficiently with Multisampling

Shayan Sadigh, Pradeep Sen

We describe a new class of subsampling techniques for CNNs, termed multisampling, that significantly increases the amount of information kept by feature maps through subsampling la…

cs.CV2018★ 8 cited

Localization-Aware Active Learning for Object Detection

Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen +1

Active learning - a class of algorithms that iteratively searches for the most informative samples to include in a training dataset - has been shown to be effective at annotating d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.