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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 — 22 papers, h 18
  • Rajiv Kumar — 7 papers, h 37
  • Rajiv Kumar — 4 papers, h 2
  • Rajiv Kumar — 3 papers, h 1
  • 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 · 6 across the 3 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

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.