Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (ECCV (7), 2018)

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (CoRR, 2018)

Essentials for Class Incremental Learning. - Sudhanshu Mittal; Silvio Galesso; Thomas Brox (CVPR Workshops, 2021)

Probing Contextual Diversity for Dense Out-of-Distribution Detection. - Silvio Galesso; María Alejandra Bravo; Mehdi Naouar; Thomas Brox (ECCV Workshops (5), 2022)

Far Away in the Deep Space: Nearest-Neighbor-Based Dense Out-of-Distribution Detection. - Silvio Galesso; Max Argus; Thomas Brox (CoRR, 2022)

Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection. - Silvio Galesso; Max Argus; Thomas Brox (ICCV (Workshops), 2023)

Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond. - Silvio Galesso; Philipp Schröppel; Hssan Driss; Thomas Brox (ECCV (74), 2024)

Compositional Servoing by Recombining Demonstrations. - Max Argus; Abhijeet Nayak; Martin Büchner; Silvio Galesso; Abhinav Valada; Thomas Brox (ICRA, 2024)

Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models. - Sassan Mokhtar; Arian Mousakhan; Silvio Galesso; Jawad Tayyub; Thomas Brox (CVPR Workshops, 2025)

Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models. - Arian Mousakhan; Sudhanshu Mittal; Silvio Galesso; Karim Farid; Thomas Brox (CoRR, 2025)