Lukas Hoyer

According to our database, Lukas Hoyer authored at least 26 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation.

Jonas Ernst, Wolfgang Boettcher, Lukas Hoyer, Jan Eric Lenssen, Bernt Schiele

CoRR, March, 2026

2025

S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation.

Leon Sick, Lukas Hoyer, Dominik Engel, Pedro Hermosilla, Timo Ropinski

CoRR, December, 2025

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation.

Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak

CoRR, June, 2025

From open-vocabulary to vocabulary-free semantic segmentation.

Klara Reichard, Giulia Rizzoli, Stefano Gasperini, Lukas Hoyer, Pietro Zanuttigh, Nassir Navab, Federico Tombari

Pattern Recognit. Lett., 2025

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving.

Arpit Jadon, Haoran Wang, Phillip Thomas, Michael Stanley, S. Nathaniel Cibik, Rachel Laurat, Omar Maher, Lukas Hoyer, Ozan Unal, Dengxin Dai

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

2024

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation.

Lukas Hoyer, Dengxin Dai, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Domain-Robust Network Architectures and Training Strategies for Visual Scene Understanding.

Lukas Hoyer

PhD thesis, 2024

2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation.

Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets.

Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation.

Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2024, 2024

SILC: Improving Vision Language Pretraining with Self-distillation.

Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2024, 2024

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.

Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov

Proceedings of the Computer Vision - ECCV 2024, 2024

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance.

Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool

Int. J. Comput. Vis., August, 2023

LiDAR Meta Depth Completion.

Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Dengxin Dai

CoRR, 2023

LiDAR Meta Depth Completion.

Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai

IROS, 2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.

Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation.

Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation.

Lukas Hoyer, Dengxin Dai, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation.

Lukas Hoyer, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation.

Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids.

Lukas Hoyer, Patrick Kesper, Volker Fischer

CoRR, 2019

Grid Saliency for Context Explanations of Semantic Segmentation.

Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids.

Lukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation.

Lukas Hoyer, Christoph Steup, Sanaz Mostaghim

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018