Matthias Rottmann
11 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Research topics
Computer Vision
(8)
Analysis
(8)
Deep Learning
(6)
Machine Learning
(6)
Artificial Intelligence
(4)
Application Areas
(3)
Architectures
(3)
Core AI Β· Artificial Intelligence
(3)
Domain-Specific
(3)
Learning Types
(3)
Models
(3)
Optimization & Theory
(3)
Core AI Β· Computer Vision
(1)
Core Methods
(1)
Generation
(1)
Keywords
object detection
(4)
out-of-distribution detection
(3)
uncertainty quantification
(3)
semantic segmentation
(3)
epistemic uncertainty
(2)
autonomous driving
(2)
meta classification
(2)
gaussian splatting
(1)
incremental learning
(1)
trajectory prediction
(1)
depth estimation
(1)
novel view synthesis
(1)
domain generalization
(1)
object tracking
(1)
video captioning
(1)
entropy maximization
(1)
synthetic data generation
(1)
generative adversarial network
(1)
temporal modeling
(1)
image classification
(1)
Papers
Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?
WACV 2026
PRIMU: Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Coverage
CVPR 2026
Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
WACV 2026
TARS: Traffic-Aware Radar Scene Flow Estimation
ICCV 2025
Identifying Label Errors in Object Detection Datasets by Loss Inspection
WACV 2024
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
ECCV 2024
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
WACV 2023
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
WACV 2023
Towards unsupervised open world semantic segmentation
UAI 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
NeurIPS 2022
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation
ICCV 2021