Raphael Sznitman
18 papers · 2013–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🗃️
Keyword Collector
(73)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
❓
The Questioner
🚀
Conference Pioneer
💎
Century Club · Bronze
📈
Trend Setter
Top co-authors
Research topics
Machine Learning
(13)
Computer Vision
(10)
Learning Types
(9)
Analysis
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Domain-Specific
(4)
Application Areas
(3)
Core AI · Computer Vision
(3)
Processing
(3)
Core AI · Artificial Intelligence
(2)
Learning Paradigms
(2)
Models
(2)
Healthcare & Medicine
(1)
Keywords
active learning
(5)
semantic segmentation
(4)
image segmentation
(3)
target localization
(2)
annotation efficiency
(2)
domain adaptation
(1)
transfer learning
(1)
contrastive learning
(1)
object detection
(1)
posterior distribution
(1)
logical reasoning
(1)
visual question answering
(1)
sequential decision making
(1)
medical imaging
(1)
video segmentation
(1)
weak supervision
(1)
model adaptation
(1)
conditional generation
(1)
3d vision
(1)
bayesian inference
(1)
Papers
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
WACV 2025
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
MICCAI 2025
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
WACV 2025
Correlation-Aware Active Learning for Surgery Video Segmentation
WACV 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
ECCV 2024
Online 3D reconstruction and dense tracking in endoscopic videos
MICCAI 2024
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
CVPR 2023
Logical Implications for Visual Question Answering Consistency
CVPR 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
ICCV 2023
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
ECCV 2022
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
MIDL 2019
Learning Active Learning from Data
NeurIPS 2017
Active Learning for Delineation of Curvilinear Structures
CVPR 2016
Bayesian Multiple Target Localization
ICML 2015
Introducing Geometry in Active Learning for Image Segmentation
ICCV 2015
Reconstructing Evolving Tree Structures in Time Lapse Sequences
CVPR 2014
An Optimal Policy for Target Localization with Application to Electron Microscopy
ICML 2013
Fast Object Detection with Entropy-Driven Evaluation
CVPR 2013