Jean-Philippe Thiran
17 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🤝
Dynamic Duo
(15)
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(16)
Computer Vision
(10)
Deep Learning
(10)
Learning Types · Machine Learning
(10)
Application Areas
(8)
Artificial Intelligence
(6)
Core Methods
(5)
Domain-Specific
(5)
Healthcare & Medicine
(4)
Clinical
(4)
Models
(4)
Core AI
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Processing
(3)
Keywords
self-supervised learning
(5)
data augmentation
(3)
domain adaptation
(3)
domain shift
(3)
medical image segmentation
(2)
representation learning
(2)
semantic segmentation
(2)
contrastive learning
(2)
nearest neighbor
(2)
image restoration
(2)
medical imaging
(2)
test-time adaptation
(2)
mutual information
(2)
object detection
(1)
image segmentation
(1)
style transfer
(1)
online clustering
(1)
active learning
(1)
batch normalization
(1)
in-context learning
(1)
Papers
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
ICLR 2025
Uncertainty modeling for fine-tuned implicit functions
ICLR 2025
What to align in multimodal contrastive learning?
ICLR 2025
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
AAAI 2024
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
ICLR 2024
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
ICLR 2024
Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning
ICCV 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
CVPR 2023
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
WACV 2023
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
Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
WACV 2021
Quantifying Explainers of Graph Neural Networks in Computational Pathology
CVPR 2021
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
MIDL 2021
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
ICCV 2019
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
ICCV 2019