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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

collaborators

7 papers

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…

eess.IV2025★ 1 cited

PixCell: A generative foundation model for digital histopathology images

Srikar Yellapragada, Alexandros Graikos, Zilinghan Li +11

The digitization of histology slides has revolutionized pathology, providing massive datasets for cancer diagnosis and research. Self-supervised and vision-language models have bee…

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.RO2023★ 1 cited

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

Xiang Li, Varun Belagali, Jinghuan Shang +1

Sequence modeling approaches have shown promising results in robot imitation learning. Recently, diffusion models have been adopted for behavioral cloning in a sequence modeling fa…

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…