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Richa Upadhyay

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
  • cs.CV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDeep Neural Network approaches for Analysing Videos of Music Performances

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini +1

This paper presents meta-sparsity, a framework for learning model sparsity, basically learning the parameter that controls the degree of sparsity, that allows deep neural networks…

cs.CV2022

Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification

Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini +4

This work presents a novel self-supervised representation learning method to learn efficient representations without labels on images from a 3DPM sensor (3-Dimensional Particle Mea…

cs.CV2022★ 1 cited

Deep Neural Network approaches for Analysing Videos of Music Performances

Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa +4

This paper presents a framework to automate the labelling process for gestures in musical performance videos with a 3D Convolutional Neural Network (CNN). While this idea was propo…

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