Matthias Rottmann
10 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot (5) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π§¬
Topic Evolution
π
Century Club
(10)
β
The Questioner
π₯
Unstoppable
(6)
Conferences
WACV (5)
ICCV (2)
ECCV (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
out-of-distribution detection
(3)
uncertainty quantification
(3)
semantic segmentation
(3)
object detection
(3)
autonomous driving
(2)
meta classification
(2)
epistemic uncertainty
(2)
object tracking
(1)
synthetic data generation
(1)
entropy maximization
(1)
generative adversarial network
(1)
noisy label
(1)
stable diffusion
(1)
temporal understanding
(1)
label error detection
(1)
aleatoric uncertainty
(1)
conditional generative adversarial network
(1)
dataset quality
(1)
monte carlo dropout
(1)
scene flow estimation
(1)
Papers
Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?
WACV 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
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
WACV 2023
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
WACV 2023
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
NIPS 2022
Towards unsupervised open world semantic segmentation
UAI 2022
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation
ICCV 2021