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researcher

N. Das

40 papers hereh-index 334.1k citations192 works total

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

author position
  • first author7
  • middle author20
  • last author11

Across the 38 of 40 papers where every author was matched, so the position is known.

fields
  • cs.CV34
  • cs.LG2
  • eess.IV2
  • cs.AR1
  • cs.ET1
same name
  • N. Das — 14 papers, h 6
  • N. Das — 10 papers, h 8
  • N. Das — 2 papers, h 22
  • N. Das — 2 papers, h 29
  • N. Das — 1 paper, h 4
  • N. Das — 1 paper, h 6

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
20102024
most citedHandwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach

127 citations · 612 across the 35 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.CV2018

Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling

Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel +3

Modern deep learning algorithms have triggered various image segmentation approaches. However most of them deal with pixel based segmentation. However, superpixels provide a certai…

cs.CV2018★ 127 cited

Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach

Saikat Roy, Nibaran Das, Mahantapas Kundu +1

In this work, a novel deep learning technique for the recognition of handwritten Bangla isolated compound character is presented and a new benchmark of recognition accuracy on the…

cs.CV2018

Deep learning for word-level handwritten Indic script identification

Soumya Ukil, Swarnendu Ghosh, Sk Md Obaidullah +3

We propose a novel method that uses convolutional neural networks (CNNs) for feature extraction. Not just limited to conventional spatial domain representation, we use multilevel 2…

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