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David T. Hoffmann
David T. Hoffmann
University of Freiburg
Подтвержден адрес электронной почты в домене cs.uni-freiburg.de
Название
Процитировано
Процитировано
Год
AGORA: Avatars in geography optimized for regression analysis
P Patel, CHP Huang, J Tesch, DT Hoffmann, S Tripathi, MJ Black
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2322021
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
DT Hoffmann, N Behrmann, J Gall, T Brox, M Noroozi
AAAI Conference on Artificial Intelligence, 2022
472022
Learning Multi-Human Optical Flow
A Ranjan, DT Hoffmann, D Tzionas, S Tang, J Romero, MJ Black
International Journal of Computer Vision (IJCV), 2020
472020
Learning to Train with Synthetic Humans
DT Hoffmann, D Tzionas, MJ Black, S Tang
Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019
372019
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
S Schrodi, DT Hoffmann, M Argus, V Fischer, T Brox
ICLR 2025, 2024
15*2024
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
DT Hoffmann, S Schrodi, J Bratuli{\'c}, N Behrmann, V Fischer, T Brox
Forty-first International Conference on Machine Learning (ICML), 2023
72023
Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation
DT Hoffmann, SH Raza, H Jiang, D Tananaev, S Klingenhoefer, ...
arXiv preprint arXiv:2503.04718, 2025
2025
CONTRASTIVE REPRESENTATION LEARNING FOR MEASUREMENT DATA
D Hoffmann, M Noroozi, N Behrmann
US Patent App. 17/812,211, 2023
2023
Supplementary Material AGORA: Avatars in Geography Optimized for Regression Analysis
P Patel, CHP Huang, J Tesch, DT Hoffmann, S Tripathi, MJ Black
Learning to Train with Synthetic Humans** Supplementary Material
DT Hoffmann, D Tzionas, MJ Black, S Tang
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