Sznitman, R.[Raphael]
* 2009: Active background modeling: Actors on a stage
* 2010: Active Testing for Face Detection and Localization
* 2013: Fast Object Detection with Entropy-Driven Evaluation
* 2013: Unified Detection and Tracking of Instruments during Retinal Microsurgery
* 2014: Reconstructing Evolving Tree Structures in Time Lapse Sequences
* 2015: Introducing Geometry in Active Learning for Image Segmentation
* 2015: Non-Rigid Graph Registration Using Active Testing Search
* 2016: Active Learning for Delineation of Curvilinear Structures
* 2018: Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks
* 2018: Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency
* 2019: Geometry in active learning for binary and multi-class image segmentation
* 2020: Question-Centric Model for Visual Question Answering in Medical Imaging, A
* 2022: Data Invariants to Understand Unsupervised Out-of-Distribution Detection
* 2023: Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
* 2023: Logical Implications for Visual Question Answering Consistency
* 2023: Stochastic Segmentation with Conditional Categorical Diffusion Models
* 2024: Correlation-aware active learning for surgery video segmentation
Includes: Sznitman, R.[Raphael] Sznitman, R.
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