Unsupervised Magnification of Posture Deviations Across Subjects. - Michael Dorkenwald; Uta Büchler; Björn Ommer (CVPR, 2020)

uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (CoRR, 2020)

Understanding Object Dynamics for Interactive Image-to-Video Synthesis. - Andreas Blattmann; Timo Milbich; Michael Dorkenwald; Björn Ommer (CVPR, 2021)

Behavior-Driven Synthesis of Human Dynamics. - Andreas Blattmann; Timo Milbich; Michael Dorkenwald; Björn Ommer (CVPR, 2021)

Stochastic Image-to-Video Synthesis Using cINNs. - Michael Dorkenwald; Timo Milbich; Andreas Blattmann; Robin Rombach; Konstantinos G. Derpanis; Björn Ommer (CVPR, 2021)

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. - Andreas Blattmann; Timo Milbich; Michael Dorkenwald; Björn Ommer (ICCV, 2021)

Unsupervised behaviour analysis and magnification (uBAM) using deep learning. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (Nat. Mach. Intell., 2021)

Unsupervised behaviour analysis and magnification (uBAM) using deep learning Dataset. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (Zenodo, 2021)

SCVRL: Shuffled Contrastive Video Representation Learning. - Michael Dorkenwald; Fanyi Xiao; Biagio Brattoli; Joseph Tighe; Davide Modolo (CVPR Workshops, 2022)

PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. - Michael Dorkenwald; Nimrod Barazani; Cees G. M. Snoek; Yuki M. Asano (CVPR, 2024)

SIGMA: Sinkhorn-Guided Masked Video Modeling. - Mohammadreza Salehi; Michael Dorkenwald; Fida Mohammad Thoker; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (24), 2024)

TVBench: Redesigning Video-Language Evaluation. - Daniel Cores; Michael Dorkenwald; Manuel Mucientes; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2024)

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. - Muhammad Jehanzeb Mirza; Mengjie Zhao; Zhuoyuan Mao; Sivan Doveh; Wei Lin 019; Paul Gavrikov; Michael Dorkenwald; Shiqi Yang; Saurav Jha; Hiromi Wakaki; Yuki Mitsufuji; Horst Possegger; et al. (Trans. Mach. Learn. Res., 2025)

Unsupervised Behavior Analysis and Magnification using Deep Learning: Docker Image. - Biagio Brattoli; Uta Büchler; Michael Dorkenwald; Philipp Reiser; Linard Filli; Fritjof Helmchen; Anna-Sophia Wahl; Björn Ommer (Zenodo, 2025)

KV Cache Steering for Inducing Reasoning in Small Language Models. - Max Belitsky; Dawid Jan Kopiczko; Michael Dorkenwald; Muhammad Jehanzeb Mirza; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2025)