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V. Rathour

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedDeep Reinforcement Learning in Computer Vision: A Comprehensive Survey

23 citations · 27 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 23 cited

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki +2

Deep reinforcement learning augments the reinforcement learning framework and utilizes the powerful representation of deep neural networks. Recent works have demonstrated the remar…

eess.IV2021

Roughness Index and Roughness Distance for Benchmarking Medical Segmentation

Vidhiwar Singh Rathour, Kashu Yamakazi, T. Hoang Ngan Le

Medical image segmentation is one of the most challenging tasks in medical image analysis and has been widely developed for many clinical applications. Most of the existing metrics…

eess.IV2021★ 4 cited

Invertible Residual Network with Regularization for Effective Medical Image Segmentation

Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le

Deep Convolutional Neural Networks (CNNs) i.e. Residual Networks (ResNets) have been used successfully for many computer vision tasks, but are difficult to scale to 3D volumetric m…

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