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20222026
most citedGen-SIS: Generative Self-augmentation Improves Self-supervised Learning

2 citations · 4 across the 6 of their papers we have counts for

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cs.CV2026

Scaling Multi-Teacher Distillation for Digital Pathology

Sofiène Boutaj, Pierre Marza, Varun Belagali +3

Multi-teacher distillation allows transferring knowledge from multiple "teacher" networks to a single "student" network. This method is promising in fields such as digital patholog…

cs.CV2025

TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning

Varun Belagali, Saarthak Kapse, Pierre Marza +12

The interpretation of small tiles in large whole slide images (WSI) often needs a larger image context. We introduce TICON, a transformer-based tile representation contextualizer t…

cs.CV2025

CDG-MAE: Cross-view Masked Modeling using Diffusion Generated Views

Varun Belagali, Pierre Marza, Srikar Yellapragada +7

Cross-view masked autoencoding has emerged as a powerful pretext task for learning dense correspondences, which are essential for applications such as video label propagation. The…

cs.CV2024★ 2 cited

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning

Varun Belagali, Srikar Yellapragada, Alexandros Graikos +7

Self-supervised learning (SSL) methods have emerged as strong visual representation learners by training an image encoder to maximize similarity between features of different views…

cs.CV2022

An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production

Anwesha Roy, Varun Belagali, Prasanta Kumar Ghosh

The best performance in Air-tissue boundary (ATB) segmentation of real-time Magnetic Resonance Imaging (rtMRI) videos in speech production is known to be achieved by a 3-dimensiona…