Kampffmeyer, Michael

16 publications

ICML 2025 Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer

AISTATS 2025 Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone

ICLR 2025 Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer, Xiaodan Liang

ICLR 2025 UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting Haoyuan Li, Zhou Yanpeng, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang

TMLR 2024 Prototypical Self-Explainable Models Without Re-Training Srishti Gautam, Ahcene Boubekki, Marina MC Höhne, Michael Kampffmeyer

ECCVW 2024 ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation Hyeongji Kim, Changkyu Choi, Michael Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde

NeurIPS 2022 ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer

NeurIPS 2022 Towards Hard-Pose Virtual Try-on via 3D-Aware Global Correspondence Learning Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang

MLJ 2021 Joint Optimization of an Autoencoder for Clustering and Embedding Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen

ICCV 2021 M3D-VTON: A Monocular-to-3D Virtual Try-on Network Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang

CVPR 2021 Reconsidering Representation Alignment for Multi-View Clustering Daniel J. Trosten, Sigurd Lokse, Robert Jenssen, Michael Kampffmeyer

ECML-PKDD 2021 Self-Supervised Multi-Task Representation Learning for Sequential Medical Images Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

NeurIPS 2021 Towards Scalable Unpaired Virtual Try-on via Patch-Routed Spatially-Adaptive GAN Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang

CVPRW 2020 Multi-View Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

ECCV 2020 SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen

CVPRW 2016 Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen