14.06.2024

MCML at CVPR 2024

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024). Seattle, Washington, United States, June 17-21, 2024

We are happy to announce that MCML researchers are represented with 13 papers at CVPR 2024:

M. Brahimi, B. Haefner, Z. Ye, B. Goldluecke and D. Cremers.
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo.
DOI.

Y. Chen, Y. Di, G. Zhai, F. Manhardt, C. Zhang, R. Zhang, F. Tombari, N. Navab and B. Busam.
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation.
DOI.

V. Ehm, M. Gao, P. Eisenberger, D. Cremers and F. Bernard.
Partial-to-Partial Shape Matching with Geometric Consistency.
DOI. GitHub.

M. Ghahremani, M. Khateri, B. Jian, B. Wiestler, E. Adeli and C. Wachinger.
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.
DOI.

K. Han, D. Muhle, F. Wimbauer and D. Cremers.
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation.
DOI.

J. Huang, H. Yu, K.-T. Yu, N. Navab, S. Ilic and B. Busam.
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
DOI.

H. Jung, S.-C. Wu, P. Ruhkamp, G. Zhai, H. Schieber, G. Rizzoli, P. Wang, H. Zhao, L. Garattoni, D. Roth, S. Meier, N. Navab and B. Busam.
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
DOI.

H. Li, C. Shen, P. Torr, V. Tresp and J. Gu.
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
DOI. GitHub.

I. Obadic, A. Levering, L. Pennig, D. Oliveira, D. Marcos and X. Zhu.
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. (Workshop paper).
DOI.

C. Reich, O. Hahn, D. Cremers, S. Roth and B. Debnath.
A Perspective on Deep Vision Performance with Standard Image and Video Codecs. (Workshop paper).
PDF.

S. Weber, T. Dagès, M. Gao and D. Cremers.
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
DOI.

S. Weber, B. Zöngür, N. Araslanov and D. Cremers.
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball.
DOI.

F. Wimbauer, B. Wu, E. Schoenfeld, X. Dai, J. Hou, Z. He, A. Sanakoyeu, P. Zhang, S. Tsai, J. Kohler, C. Rupprecht, D. Cremers, P. Vajda and J. Wang.
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
DOI.

14.06.2024

06.11.2024

MCML researchers with papers at EMNLP 2024

Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, 12.11.2024 - 16.11.2024

18.10.2024

MCML researchers with papers at ECAI 2024

27th European Conference on Artificial Intelligence (ECAI 2024). Santiago de Compostela, Spain, 19.10.2024 - 24.10.2024

26.09.2024

MCML at ECCV 2024

We are happy to announce that MCML researchers are represented at the 18th European Conference on Computer Vision (ECCV 2024).

10.09.2024

MCML at ECML-PKDD 2024

We are happy to announce that MCML researchers are represented at ECML-PKDD 2024.

05.08.2024

MCML researchers with papers at ACL 2024

62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, 11.08.2024 - 16.08.2024

MCML at CVPR 2024

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024). Seattle, Washington, United States, June 17-21, 2024

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