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 and Vision Language Models

	Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo ICRA, 2024 link
	HyperMAE: Modulating Implicit Neural Representations for MAE Training Varun Belagali, Lei Zhou, Xiang Li, Dimitris Samaras NeurIPS Workshop - SSLTheoryPractice, 2023 link
	INRFormer: Neuron Permutation Equivariant Transformer on Implicit Neural Representations Lei Zhou, Varun Belagali, Joseph Bae, Prateek Prasanna, Dimitris Samaras NeurIPS Workshop - Neureps, 2023 link
	Weakly supervised glottis segmentation in high-speed videoendoscopy using bounding box labels Varun Belagali, Achuth Rao M V, Prasanta Kumar Ghosh Interspeech, 2023 link
	Air tissue boundary segmentation using regional loss in real-time Magnetic Resonance Imaging video for speech production Anwesha Roy, Varun Belagali, Prasanta Kumar Ghosh Interspeech, 2022 link
	An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production Anwesha Roy, Varun Belagali, Prasanta Kumar Ghosh ICASSP, 2022 link
	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] link

Webpage source code forked from Jon Barron