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Manivannan Muniyandi

5 papers hereh-index 10910 citations41 works total

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

author position
  • last author4

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.SP1
  • physics.app-ph1

identity via Semantic Scholar / OpenAlex

most citedA Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment

5 citations · 10 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 3 cited

Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding

Jay Bhanushali, Manivannan Muniyandi, Praneeth Chakravarthula

We present a cross-domain inference technique that learns from synthetic data to estimate depth and normals for in-the-wild omnidirectional 3D scenes encountered in real-world unco…

cs.CV2022

VisTaNet: Attention Guided Deep Fusion for Surface Roughness Classification

Prasanna Kumar Routray, Aditya Sanjiv Kanade, Jay Bhanushali +1

Human texture perception is a weighted average of multi-sensory inputs: visual and tactile. While the visual sensing mechanism extracts global features, the tactile mechanism compl…

cs.CV2022★ 5 cited

A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment

Aditya Kanade, Mansi Sharma, Manivannan Muniyandi

Physical rehabilitation programs frequently begin with a brief stay in the hospital and continue with home-based rehabilitation. Lack of feedback on exercise correctness is a signi…

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