Lukas Hoyer - RankMe

43 papers A* 7A 2Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation. CoRR Jonas Ernst, Wolfgang Boettcher, Lukas Hoyer, Jan Eric Lenssen, Bernt Schiele
2025	J	`jnl`	From Open-Vocabulary to Vocabulary-Free Semantic Segmentation. CoRR Klara Reichard, Giulia Rizzoli, Stefano Gasperini, Lukas Hoyer, Pietro Zanuttigh, Nassir Navab, Federico Tombari
2025	J	`jnl`	From open-vocabulary to vocabulary-free semantic segmentation. Pattern Recognit. Lett. Klara Reichard, Giulia Rizzoli, Stefano Gasperini, Lukas Hoyer, Pietro Zanuttigh, Nassir Navab, Federico Tombari
2025	J	`jnl`	GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation. CoRR Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak
2025	J	`jnl`	RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving. CoRR Arpit Jadon, Haoran Wang, Phillip Thomas, Michael Stanley, S. Nathaniel Cibik, Rachel Laurat, Omar Maher, Lukas Hoyer, Ozan Unal, Dengxin Dai
2025	J	`jnl`	S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation. CoRR Leon Sick, Lukas Hoyer, Dominik Engel, Pedro Hermosilla, Timo Ropinski
2024	A	`conf`	2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2024	—	`conf`	DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. ECCV (39) Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
2024	J	`jnl`	Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Lukas Hoyer, Dengxin Dai, Luc Van Gool
2024	—	`—`	Domain-Robust Network Architectures and Training Strategies for Visual Scene Understanding. Lukas Hoyer
2024	—	`conf`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	J	`jnl`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	—	`conf`	SILC: Improving Vision Language Pretraining with Self-distillation. ECCV (21) Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
2024	A*	`conf`	Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets. NeurIPS Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele
2024	J	`jnl`	Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets. CoRR Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele
2024	—	`conf`	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. ECCV (39) Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari
2023	J	`jnl`	2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2023	J	`jnl`	DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. CoRR Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
2023	J	`jnl`	Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. CoRR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2023	A*	`conf`	EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023	J	`jnl`	EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023	J	`jnl`	Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
2023	A	`conf`	LiDAR Meta Depth Completion. IROS Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai
2023	J	`jnl`	LiDAR Meta Depth Completion. CoRR Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Dengxin Dai
2023	A*	`conf`	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
2023	J	`jnl`	SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
2023	J	`jnl`	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. CoRR Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari
2022	A*	`conf`	DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022	—	`conf`	HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CoRR Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
2021	J	`jnl`	DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CoRR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2021	A*	`conf`	Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink
2021	J	`jnl`	Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool
2021	J	`jnl`	Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
2021	A*	`conf`	Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
2020	J	`jnl`	Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation. CoRR Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
2019	A*	`conf`	Grid Saliency for Context Explanations of Semantic Segmentation. NeurIPS Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer
2019	J	`jnl`	Grid Saliency for Context Explanations of Semantic Segmentation. CoRR Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer
2019	—	`conf`	Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. ICCV Workshops Lukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer
2019	J	`jnl`	Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. CoRR Lukas Hoyer, Patrick Kesper, Volker Fischer
2018	—	`conf`	A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. SSCI Lukas Hoyer, Christoph Steup, Sanaz Mostaghim
2018	J	`jnl`	A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. CoRR Lukas Hoyer, Christoph Steup, Sanaz Mostaghim