Hanno Gottschalk

4 papers · 2021–2024 · 3 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 · Bronze 🗺️ Taxonomy Completionist (12) ❓ The Questioner

Venues

WACV (2) ICCV (1) UAI (1)

Top co-authors

Matthias Rottmann (3) Robin Chan (2) Azarm Nowzad (1) Marius Schubert (1) Fatma Guney (1) Svenja Uhlemeyer (1) Gesina Schwalbe (1) Tobias Riedlinger (1) Youssef Shoeb (1)

Research topics

Machine Learning (4) Deep Learning (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Computer Vision (2) Architectures (2) Analysis (1) Core AI (1) Core Methods (1) Domain-Specific (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

semantic segmentation (2) meta classification (2) out-of-distribution detection (2) object detection (1) autonomous driving (1) incremental learning (1) entropy maximization (1) multimodal foundation model (1) monte carlo dropout (1) object retrieval (1) road safety (1) text-based retrieval (1) road obstacle detection (1) driving scene understanding (1) softmax entropy (1) unsupervised learning (1) open world (1) uncertainty quantification (1) epistemic uncertainty (1)

Papers

Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes WACV 2024 Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors WACV 2023 Towards unsupervised open world semantic segmentation UAI 2022 Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation ICCV 2021