Matthias Kümmerer
8 papers · 2017–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (3) 🏃 Academic Marathon (8) 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer
🌉
Interdisciplinary Bridge
🔥
Unstoppable
(5)
🚀
Conference Pioneer
Conferences
ICCV (3)
NIPS (3)
ECCV (2)
Top co-authors
Keywords
domain adaptation
(3)
saliency prediction
(2)
domain generalization
(1)
transfer learning
(1)
model calibration
(1)
test-time adaptation
(1)
model adaptation
(1)
query efficiency
(1)
distribution shift
(1)
optical flow
(1)
figure-ground segmentation
(1)
adversarial attack
(1)
adversarial perturbation
(1)
zero-shot generalization
(1)
neural network robustness
(1)
dataset bia
(1)
gradient-based attack
(1)
cross-dataset evaluation
(1)
gestalt principle
(1)
neural network
(1)
Papers
Modeling Saliency Dataset Bias
ICCV 2025
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
NIPS 2024
RDumb: A simple approach that questions our progress in continual test-time adaptation
NIPS 2023
DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling
ICCV 2021
Measuring the Importance of Temporal Features in Video Saliency
ECCV 2020
Accurate, reliable and fast robustness evaluation
NIPS 2019
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics
ECCV 2018
Understanding Low- and High-Level Contributions to Fixation Prediction
ICCV 2017