Varun Belagali
Scholar

Varun Belagali

Google Scholar ID: tqEHnLUAAAAJ
Stony Brook University
Computer VisionSelf-supervised Learning
Citations & Impact
All-time
Citations
52
 
H-index
3
 
i10-index
1
 
Publications
10
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • CDG-MAE: Learning Correspondences from Diffusion Generated Views (arXiv, 2025)
  • Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning (arXiv, 2024)
  • Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning (ICRA, 2024)
  • HyperMAE: Modulating Implicit Neural Representations for MAE Training (NeurIPS Workshop - SSLTheoryPractice, 2023)
  • INRFormer: Neuron Permutation Equivariant Transformer on Implicit Neural Representations (NeurIPS Workshop - Neureps, 2023)
  • Weakly supervised glottis segmentation in high-speed videoendoscopy using bounding box labels (Interspeech, 2023)
  • Two step convolutional neural network for automatic glottis localization and segmentation in stroboscopic videos (Biomedical Optics Express, 2020)
Research Experience
  • Previously a Research Associate at Spire Lab, IISc working with Prof. Prasanta Kumar Ghosh; currently part of the CV Lab.
Education
  • PhD: Stony Brook University, New York, advised by Prof. Dimitris Samaras; Bachelors: R V College of Engineering, Bengaluru, in CS.
Background
  • CS PhD student with research interests in visual representation learning, self-supervision, etc.
Miscellany
  • Webpage source code forked from Jon Barron