Learning to Train with Synthetic Humans. - David T. Hoffmann; Dimitrios Tzionas; Michael J. Black; Siyu Tang 001 (GCPR, 2019)

Learning Multi-human Optical Flow. - Anurag Ranjan; David T. Hoffmann; Dimitrios Tzionas; Siyu Tang 001; Javier Romero 002; Michael J. Black (Int. J. Comput. Vis., 2020)

AGORA: Avatars in Geography Optimized for Regression Analysis. - Priyanka Patel; Chun-Hao P. Huang; Joachim Tesch; David T. Hoffmann; Shashank Tripathi; Michael J. Black (CVPR, 2021)

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. - David T. Hoffmann; Nadine Behrmann; Juergen Gall; Thomas Brox; Mehdi Noroozi (AAAI, 2022)

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. - David T. Hoffmann; Simon Schrodi; Nadine Behrmann; Volker Fischer 003; Thomas Brox (CoRR, 2023)

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. - David T. Hoffmann; Simon Schrodi; Jelena Bratulic; Nadine Behrmann; Volker Fischer 003; Thomas Brox (ICML, 2024)

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning. - Simon Schrodi; David T. Hoffmann; Max Argus; Volker Fischer 003; Thomas Brox (CoRR, 2024)

Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation. - David T. Hoffmann; Syed Haseeb Raza; Hanqiu Jiang; Denis Tananaev; Steffen Klingenhoefer; Martin Meinke (CVPR, 2025)

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models. - Simon Schrodi; David T. Hoffmann; Max Argus; Volker Fischer 003; Thomas Brox (ICLR, 2025)

CLIP Won't Learn Object-Attribute Binding from Natural Data and Here is Why. - Bijay Gurung; David T. Hoffmann; Thomas Brox (CoRR, 2025)