David T. Hoffmann

According to our database, David T. Hoffmann authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models.

Hai X. Pham, David T. Hoffmann, Ricardo Guerrero, Brais Martínez

CoRR, March, 2026

2025

CLIP Won't Learn Object-Attribute Binding from Natural Data and Here is Why.

Bijay Gurung, David T. Hoffmann, Thomas Brox

CoRR, July, 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, Thomas Brox

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Common Data Properties Limit Object-Attribute Binding in CLIP.

Bijay Gurung, David T. Hoffmann, Thomas Brox

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling.

Jelena Bratulic, Sudhanshu Mittal, David T. Hoffmann, Samuel Böhm, Robin Tibor Schirrmeister, Tonio Ball, Christian Rupprecht, Thomas Brox

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation.

David T. Hoffmann, Syed Haseeb Raza, Hanqiu Jiang, Denis Tananaev, Steffen Klingenhoefer, Martin Meinke

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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, Thomas Brox

CoRR, 2024

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems.

David T. Hoffmann, Simon Schrodi, Jelena Bratulic, Nadine Behrmann, Volker Fischer, Thomas Brox

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems.

David T. Hoffmann, Simon Schrodi, Nadine Behrmann, Volker Fischer, Thomas Brox

CoRR, 2023

2022

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives.

David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

AGORA: Avatars in Geography Optimized for Regression Analysis.

Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch, David T. Hoffmann, Shashank Tripathi, Michael J. Black

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Multi-human Optical Flow.

Anurag Ranjan, David T. Hoffmann, Dimitrios Tzionas, Siyu Tang, Javier Romero, Michael J. Black

Int. J. Comput. Vis., 2020

2019

Learning to Train with Synthetic Humans.

David T. Hoffmann, Dimitrios Tzionas, Michael J. Black, Siyu Tang

Proceedings of the Pattern Recognition, 2019