Michael C. Kampffmeyer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Convolutional Neural Networks

Short Term Load Forecasting

Top Venues

Publications

Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. AAAI (2024)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. Int. J. Comput. Vis. 131 (6) (2023)
Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. CoRR (2023)
Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer
Supercm: Revisiting Clustering for Semi-Supervised Learning. ICASSP (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CoRR (2023)
Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. ICCV (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CVPR (2023)
Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
View it like a radiologist: Shifted windows for deep learning augmentation of CT images. CoRR (2023)
Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. CoRR (2023)
Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. ICCV (2023)
Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. CoRR (2023)
Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy 25 (6) (2023)
Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael C. Kampffmeyer
Prototypical Self-Explainable Models Without Re-training. CoRR (2023)
Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images. MLSP (2023)
Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. CVPR (2023)
Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. ACM Multimedia (2022)
Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. CVPR (2022)
Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. CoRR (2022)
Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. ACM Multimedia (2021)
Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. CoRR (2021)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. CoRR (2021)
Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu
Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC (2021)
Daniel J. Trosten, Robert Jenssen, Michael C. Kampffmeyer
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. NLDL (2021)
Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. CoRR (2020)
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops (2020)
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR (2020)
Yujia Zhang, Michael C. Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing
Query-Conditioned Three-Player Adversarial Network for Video Summarization. BMVC (2018)
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. CoRR (2017)