Behavioral data analysis, modeling, and tools
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning (A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, …)
- Using DeepLabCut for 3D markerless pose estimation across species and behaviors (T Nath, A Mathis, AC Chen, A Patel, M Bethge, MW Mathis)
- Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet (M Kümmerer, L Theis, M Bethge)
- Understanding low-and high-level contributions to fixation prediction (M Kummerer, TSA Wallis, LA Gatys, M Bethge)
- DeepGaze II: Reading fixations from deep features trained on object recognition (M Kümmerer, TSA Wallis, M Bethge)
- Guiding human gaze with convolutional neural networks (LA Gatys, M Kümmerer, TSA Wallis, M Bethge)
- A parametric texture model based on deep convolutional features closely matches texture appearance for humans (TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge)
- Image content is more important than Bouma’s Law for scene metamers (TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge)
- Comparing deep neural networks against humans: object recognition when the signal gets weaker (R Geirhos, DHJ Janssen, HH Schütt, J Rauber, M Bethge, FA Wichmann)
- How sensitive is the human visual system to the local statistics of natural images? (HE Gerhard, FA Wichmann, M Bethge)
- Five points to check when comparing visual perception in humans and machines (CM Funke, J Borowski, K Stosio, W Brendel, TSA Wallis, M Bethge)
- Contrasting action and posture coding with hierarchical deep neural network models of proprioception (KJ Sandbrink, P Mamidanna, C Michaelis, M Bethge, MW Mathis, …)
- DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling (A Linardos, M Kümmerer, O Press, M Bethge)
- DeepGaze III: Modeling free-viewing human scanpaths with deep learning (M Kümmerer, TSA Wallis, M Bethge)
Matthias Bethge
Professor for Computational Neuroscience and Machine Learning & Director of the Tübingen AI Center
Matthias Bethge is Professor for Computational Neuroscience and Machine Learning at the University of Tübingen and director of the Tübingen AI Center, a joint center between Tübingen University and MPI for Intelligent Systems that is part of the German AI strategy.