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06/08/2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
Test-Time Adaptation (TTA) allows to update pretrained models to changin...
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12/29/2021
Disentanglement and Generalization Under Correlation Shifts
Correlations between factors of variation are prevalent in real-world da...
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10/13/2021
Unsupervised Object Learning via Common Fate
Learning generative object models from unlabelled videos is a long stand...
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05/26/2021
Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
Since 2014 transfer learning has become the key driver for the improveme...
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02/24/2021
State-of-the-Art in Human Scanpath Prediction
The last years have seen a surge in models predicting the scanpaths of f...
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07/01/2019
Accurate, reliable and fast robustness evaluation
Throughout the past five years, the susceptibility of neural networks to...
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12/18/2017
Guiding human gaze with convolutional neural networks
The eye fixation patterns of human observers are a fundamental indicator...
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10/05/2016
DeepGaze II: Reading fixations from deep features trained on object recognition
Here we present DeepGaze II, a model that predicts where people look in ...
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11/04/2014
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Recent results suggest that state-of-the-art saliency models perform far...
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09/26/2014