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T. Pokuri

3 papers hereh-index 26 citations5 works total

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

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.CV2026

IncepDeHazeGAN: Novel Satellite Image Dehazing

Tejeswar Pokuri, Shivarth Rai

Dehazing is a technique in computer vision for enhancing the visual quality of images captured in cloudy or foggy conditions. Dehazing helps to recover clear, high-quality images f…

cs.CV2026

Enhancing Hazy Wildlife Imagery: AnimalHaze3k and IncepDehazeGan

Shivarth Rai, Tejeswar Pokuri

Atmospheric haze significantly degrades wildlife imagery, impeding computer vision applications critical for conservation, such as animal detection, tracking, and behavior analysis…

cs.CV2026

Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image Enhancement

Tejeswar Pokuri, Shivarth Rai

Underwater images often suffer from severe degradation, such as color distortion, low contrast, and blurred details, due to light absorption and scattering in water. While learning…

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