Varun Belagali

CS PhD student at Stony Brook University, New York. I am part of the CV Lab advised by Prof. Dimitris Samaras.
Previously, I was a Research Associate at Spire Lab, IISc working with Prof. Prasanta Kumar Ghosh. I have completed my Bachelor's in CS from R V College of Engneering, Bengaluru.

Email / CV / Google Scholar / Twitter / Github / LinkedIn

Research

My primary research interest lies in Computer Vision, mainly Self-supervised Learning

	Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Joel Saltz, Dimitris Samaras arXiv, 2024 Paper / Website
	Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo ICRA, 2024 Paper
	HyperMAE: Modulating Implicit Neural Representations for MAE Training Varun Belagali, Lei Zhou, Xiang Li, Dimitris Samaras NeurIPS Workshop - SSLTheoryPractice, 2023 Paper
	INRFormer: Neuron Permutation Equivariant Transformer on Implicit Neural Representations Lei Zhou, Varun Belagali, Joseph Bae, Prateek Prasanna, Dimitris Samaras NeurIPS Workshop - Neureps, 2023 Paper
	Weakly supervised glottis segmentation in high-speed videoendoscopy using bounding box labels Varun Belagali, Achuth Rao M V, Prasanta Kumar Ghosh Interspeech, 2023 Paper
	Two step convolutional neural network for automatic glottis localization and segmentation in stroboscopic videos Varun Belagali, Achuth Rao M V, Pebbili Gopikishore, Rahul Krishnamurthy, Prasanta Kumar Ghosh Biomedical Optics Express, 2020 [journal] Paper

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