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researcher

Nilanjan Ray

University of Alberta

35 papers hereh-index 344.2k citations153 works total

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

author position
  • middle author13
  • last author22

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CV27
  • eess.IV5
  • cs.LG3
affiliations
  • University of Alberta
Homepage
same name
  • Nilanjan Ray — 5 papers, h 3
  • Nilanjan Ray — 3 papers, h 2
  • Nilanjan Ray — 1 paper
  • Nilanjan Ray — 1 paper, h 1

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
20162023
most citedRiver Ice Segmentation with Deep Learning

74 citations · 173 across the 30 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023

Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection

Seyed Mojtaba Marvasti-Zadeh, Nilanjan Ray, Nadir Erbilgin

Semi-supervised object detection (SSOD) aims to improve the performance and generalization of existing object detectors by utilizing limited labeled data and extensive unlabeled da…

cs.CV2023

Document Image Cleaning using Budget-Aware Black-Box Approximation

Ganesh Tata, Katyani Singh, Eric Van Oeveren +1

Recent work has shown that by approximating the behaviour of a non-differentiable black-box function using a neural network, the black-box can be integrated into a differentiable t…

cs.CV2023★ 1 cited

Towards Early Prediction of Human iPSC Reprogramming Success

Abhineet Singh, Ila Jasra, Omar Mouhammed +3

This paper presents advancements in automated early-stage prediction of the success of reprogramming human induced pluripotent stem cells (iPSCs) as a potential source for regenera…

cs.CV2023★ 2 cited

Weakly Supervised Realtime Dynamic Background Subtraction

Fateme Bahri, Nilanjan Ray

Background subtraction is a fundamental task in computer vision with numerous real-world applications, ranging from object tracking to video surveillance. Dynamic backgrounds poses…

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