Alexander Jaus

4 papers · 2024–2025 · 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 (12) ❓ The Questioner 🚀 Conference Pioneer

Venues

AAAI (1) ICCV (1) MICCAI (1) NeurIPS (1)

Top co-authors

Simon Reiß (4) Rainer Stiefelhagen (4) Jens Kleesiek (2) Constantin Seibold (2) M. Saquib Sarfraz (2) Zdravko Marinov (2) Kunyu Peng (1) Constantin Marc Seibold (1) Zeling Ye (1) Stefan Krieg (1)

Research topics

Artificial Intelligence (2) Computer Vision (2) Machine Learning (2) Analysis (2) Core AI (2) Learning Types · Machine Learning (2) Deep Learning (1) Healthcare & Medicine (1) Interdisciplinary (1) Architectures (1) Clinical (1) Domain-Specific (1) Learning Types · Deep Learning (1) Science (1)

Keywords

sequence modeling (1) semantic segmentation (1) multi-task learning (1) pose estimation (1) multi-instance learning (1) medical imaging (1) human pose estimation (1) medical image analysis (1) human motion (1) motion capture (1) evaluation metric (1) visual in-context learning (1) muscle activation (1) biomechanical simulation (1) pose sequence (1) connected component (1) neural network (1) multi-instance segmentation (1) compositional task (1) biomechanical modeling (1)

Papers

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks AAAI 2025 Is Visual in-Context Learning for Compositional Medical Tasks within Reach? ICCV 2025 Anatomy-guided Pathology Segmentation MICCAI 2024 Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations NeurIPS 2024