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Subhankar Ghosh

17 papers hereh-index 11656 citations27 works total

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

author position
  • sole author2
  • first author4
  • middle author10

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG2
  • cs.GR1
same name
  • Subhankar Ghosh — 12 papers, h 7
  • Subhankar Ghosh — 7 papers, h 4
  • Subhankar Ghosh — 5 papers, h 8
  • Subhankar Ghosh — 5 papers, h 1
  • Subhankar Ghosh — 3 papers, h 9
  • Subhankar Ghosh — 1 paper, h 11

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
20142025
most citedEffects of Degradations on Deep Neural Network Architectures

50 citations · 62 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 1 cited

TIC: Text-Guided Image Colorization

Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya +2

Image colorization is a well-known problem in computer vision. However, due to the ill-posed nature of the task, image colorization is inherently challenging. Though several attemp…

cs.CV2022

TIPS: Text-Induced Pose Synthesis

Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2

In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that…

cs.CV2022

Scene Aware Person Image Generation through Global Contextual Conditioning

Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +2

Person image generation is an intriguing yet challenging problem. However, this task becomes even more difficult under constrained situations. In this work, we propose a novel pipe…

cs.CV2022

Multi-scale Attention Guided Pose Transfer

Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh +1

Pose transfer refers to the probabilistic image generation of a person with a previously unseen novel pose from another image of that person having a different pose. Due to potenti…

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