Michael C. Kampffmeyer

37 papers A* 12A 1C 1Misc 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering. CVPR Zheming Xu, He Liu, Congyan Lang, Tao Wang, Yidong Li, Michael C. Kampffmeyer
2025	A*	`conf`	AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering. CVPR Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrøm, Michael C. Kampffmeyer
2025	A*	`conf`	REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. AAAI Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
2025	J	`jnl`	Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation. CoRR Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2025	J	`jnl`	Supercm: Revisiting Clustering for Semi-Supervised Learning. CoRR Durgesh Singh, Ahcene Boubekki, Robert Jenssen, Michael C. Kampffmeyer
2025	J	`jnl`	UNAGI: Unified neighbor-aware graph neural network for multi-view clustering. Neural Networks Zheming Xu, Congyan Lang, Lili Wei, Liqian Liang, Tao Wang, Yidong Li, Michael C. Kampffmeyer
2024	C	`conf`	Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution. IGARSS Muhammad Sarmad, Michael C. Kampffmeyer, Arnt-Børre Salberg
2024	A*	`conf`	ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations. CVPR Rwiddhi Chakraborty, Adrian Sletten, Michael C. Kampffmeyer
2024	A*	`conf`	PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. AAAI Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao
2024	J	`jnl`	REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. CoRR Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2023	A*	`conf`	Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. ICCV Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang
2023	J	`jnl`	Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. CoRR Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang
2023	A*	`conf`	DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. ICCV Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang
2023	J	`jnl`	DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. CoRR Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang
2023	A*	`conf`	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. CVPR Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. CoRR Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023	A*	`conf`	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CVPR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CoRR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	Prototypical Self-Explainable Models Without Re-training. CoRR Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael C. Kampffmeyer
2023	J	`jnl`	RELAX: Representation Learning Explainability. Int. J. Comput. Vis. Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2023	Misc	`conf`	Supercm: Revisiting Clustering for Semi-Supervised Learning. ICASSP Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer
2023	—	`conf`	View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images. MLSP Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
2023	J	`jnl`	View it like a radiologist: Shifted windows for deep learning augmentation of CT images. CoRR Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
2022	A*	`conf`	ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. ACM Multimedia Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang
2022	J	`jnl`	ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. CoRR Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang
2022	A*	`conf`	M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. CVPR Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang
2021	A	`conf`	Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu
2021	J	`jnl`	RELAX: Representation Learning Explainability. CoRR Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2021	—	`conf`	Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. NLDL Daniel J. Trosten, Robert Jenssen, Michael C. Kampffmeyer
2021	A*	`conf`	WAS-VTON: Warping Architecture Search for Virtual Try-on Network. ACM Multimedia Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang
2021	J	`jnl`	WAS-VTON: Warping Architecture Search for Virtual Try-on Network. CoRR Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang
2020	J	`jnl`	Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. CoRR Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
2020	—	`conf`	The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 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
2020	J	`jnl`	The 1st Agriculture-Vision Challenge: Methods and Results. CoRR 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
2017	J	`jnl`	An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. CoRR Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
2017	—	`book`	Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen