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Nihar Bendre

4 papers here

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

author position
  • first author4

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

fields
  • cs.CV3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedLearning from Few Samples: A Survey

37 citations · 38 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2021★ 1 cited

Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts

Nihar Bendre, Kevin Desai, Peyman Najafirad

With the ever-increasing amount of data, the central challenge in multimodal learning involves limitations of labelled samples. For the task of classification, techniques such as m…

cs.CV2021

Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention

Nihar Bendre, Kevin Desai, Peyman Najafirad

Visual Question Answering (VQA) models have achieved significant success in recent times. Despite the success of VQA models, they are mostly black-box models providing no reasoning…

cs.CV2020★ 37 cited

Learning from Few Samples: A Survey

Nihar Bendre, Hugo Terashima Marín, Peyman Najafirad

Deep neural networks have been able to outperform humans in some cases like image recognition and image classification. However, with the emergence of various novel categories, the…

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