Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining.

X. Dong, X. Zhan, Y. Wu, Y. Wei, M. Kampffmeyer, X. Wei, M. Lu, Y. Wang, and X. Liang. CVPR, page 21220-21230. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nele Kampffmeyer

Karl Kampffmeyer

Dirk Kampffmeyer

Uta Kampffmeyer

Ulrich Kampffmeyer

Other publications of authors with the same name

RELAX: Representation Learning Explainability.K. Wickstrøm, D. Trosten, S. Løkse, K. Mikalsen, M. Kampffmeyer, and R. Jenssen. CoRR, (2021)Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives.D. Trosten, M. Kampffmeyer, and R. Jenssen. CoRR, (2020)Supercm: Revisiting Clustering for Semi-Supervised Learning.D. Singh, A. Boubekki, R. Jenssen, and M. Kampffmeyer. ICASSP, page 1-5. IEEE, (2023)PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping.L. Lin, Z. Jiang, X. Liang, L. Ma, M. Kampffmeyer, and X. Cao. AAAI, page 3441-3449. AAAI Press, (2024)Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos.H. Li, H. Dong, H. Jia, D. Huang, M. Kampffmeyer, L. Lin, and X. Liang. ICCV, page 8710-8719. IEEE, (2023)Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings.D. Trosten, R. Chakraborty, S. Løkse, K. Wickstrøm, R. Jenssen, and M. Kampffmeyer. CVPR, page 7527-7536. IEEE, (2023)Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative AnalysisF. Bianchi, E. Maiorino, M. Kampffmeyer, A. Rizzi, and R. Jenssen. Springer Briefs in Computer Science Springer, (2017)M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining.X. Dong, X. Zhan, Y. Wu, Y. Wei, M. Kampffmeyer, X. Wei, M. Lu, Y. Wang, and X. Liang. CVPR, page 21220-21230. IEEE, (2022)An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting.F. Bianchi, E. Maiorino, M. Kampffmeyer, A. Rizzi, and R. Jenssen. CoRR, (2017)DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment.X. Zhang, B. Yang, M. Kampffmeyer, W. Zhang, S. Zhang, G. Lu, L. Lin, H. Xu, and X. Liang. ICCV, page 23097-23106. IEEE, (2023)

BibSonomy

Disambiguation of "Kampffmeyer, Michael C."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining.

Please choose a person to relate this publication to

Nele Kampffmeyer

Karl Kampffmeyer

Dirk Kampffmeyer

Uta Kampffmeyer

Ulrich Kampffmeyer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kampffmeyer, Michael C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining.

Please choose a person to relate this publication to

Nele Kampffmeyer

Karl Kampffmeyer

Dirk Kampffmeyer

Uta Kampffmeyer

Ulrich Kampffmeyer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining.