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Lukas Hoyer

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

5

Active years

2021–2024

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2024ECCVSemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance.Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari
2024ECCVDGInStyle: 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
2024ECCVSILC: Improving Vision Language Pretraining with Self-distillation.Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
2024ECCVMICDrop: 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-Taix, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024WACV2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation.Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2023CVPRMIC: Masked Image Consistency for Context-Enhanced Domain Adaptation.Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
2023ICCVEDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023IROSLiDAR Meta Depth Completion.Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai
2022CVPRDAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation.Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022ECCVHRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation.Lukas Hoyer, Dengxin Dai, Luc Van Gool
2021CVPRThree Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation.Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Kring, Suman Saha, Luc Van Gool
2021ICCVDomain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink