Devavrat Tomar

4 papers · 2022–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11)

Venues

CVPR (1) ICLR (1) MIDL (1) WACV (1)

Top co-authors

Guillaume Vray (4) Jean-Philippe Thiran (4) Behzad Bozorgtabar (4) Manana Lortkipanidze (1) Mohammad Saeed Rad (1)

Research topics

Machine Learning (4) Deep Learning (3) Application Areas (3) Artificial Intelligence (2) Computer Vision (2) Healthcare & Medicine (2) Clinical (2) Domain-Specific (2) Learning Paradigms (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (1) Models (1) Techniques (1)

Keywords

domain shift (3) test-time adaptation (2) medical image segmentation (2) style transfer (1) self-supervised learning (1) knowledge distillation (1) data augmentation (1) batch normalization (1) adversarial augmentation (1) mutual information (1) generative model (1) medical image (1) volumetric image (1) test-time augmentation (1) temporal correlation (1) self training (1) brain mri segmentation (1) generative style transfer (1) one-shot learning (1) test-time normalization (1)

Papers

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation ICLR 2024 TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation CVPR 2023 OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift MIDL 2022 Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation WACV 2022