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Rajiv Kumar

Indian Institute of Technology, Bombay

4 papers hereh-index 214 citations4 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
affiliations
  • Indian Institute of Technology, Bombay
HomepageORCID 0000-0003-4174-8587
same name
  • Rajiv Kumar — 28 papers, h 18
  • Rajiv Kumar — 7 papers, h 37
  • Rajiv Kumar — 4 papers, h 1
  • Rajiv Kumar — 4 papers, h 2
  • Rajiv Kumar — 2 papers
  • Rajiv Kumar — 2 papers, 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

most citedDEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis

2 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 2 cited

FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection

Chintan Tundia, Rajiv Kumar, Om Damani +1

Change detection for aerial imagery involves locating and identifying changes associated with the areas of interest between co-registered bi-temporal or multi-temporal images of a…

cs.CV2023★ 2 cited

DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis

Rajiv Kumar, G. Sivakumar

Requirements of large amounts of data is a difficulty in training many GANs. Data efficient GANs involve fitting a generators continuous target distribution with a limited discrete…

cs.CV2021★ 2 cited

The MIS Check-Dam Dataset for Object Detection and Instance Segmentation Tasks

Chintan Tundia, Rajiv Kumar, Om Damani +1

Deep learning has led to many recent advances in object detection and instance segmentation, among other computer vision tasks. These advancements have led to wide application of d…

cs.CV2021★ 1 cited

Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator

Rajiv Kumar, Rishabh Dabral, G. Sivakumar

Unsupervised image-to-image translation is used to transform images from a source domain to generate images in a target domain without using source-target image pairs. Promising re…

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