Lukas Hoyer

1.4k citations

12 papers · 630 indexed · 2 hit papers · h-index 6

Impact in

Computer Vision and Pattern Recognition top 2%
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling

Papers in

Computer Vision and Pattern Recognition 11
- Multimodal Machine Learning Applications 5
- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 3
- Visual Attention and Saliency Detection 1
- Image Processing and 3D Reconstruction 1
- Data Visualization and Analytics 1
Media Technology 2

Co-authors: Dengxin Dai Luc Van Gool Haoran Wang Olga Fink Yuhua Chen Anton Obukhov Volker Fischer Anna Khoreva
Journals: Pattern Recognition Letters (1 paper)International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Neural Information Processing Systems (1 paper)
Partner nations: Switzerland Germany Belgium

In The Last Decade

Lukas Hoyer

9 papers receiving 622 citations

Hit Papers

align trajectories log scale

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation 2023 · 152 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Peers

Countries citing papers authored by Lukas Hoyer

Since Specialization

Citations

This map shows the geographic impact of Lukas Hoyer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lukas Hoyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Hoyer more than expected).

Fields of papers citing papers by Lukas Hoyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Hoyer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lukas Hoyer. The network helps show where Lukas Hoyer may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Lukas Hoyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lukas Hoyer Line = papers co-authored together Lukas Hoyer links everyone, so they are left out of the graph.

All Works

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12 of 12 papers shown

#	Work
1	From open-vocabulary to vocabulary-free semantic segmentation Pattern Recognition Letters ·Don Engelman, eds., S. Abbasi-Garravand, Lukas Hoyer, Pietro Zanuttigh, Nassir Navab, Federico Tombari	2025	0
2	RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving elib (German Aerospace Center) ·Ayesha Hansa, Haoran Wang, J. M. Otalora Goicochea, Michael W. Stanley, G D Rossetto, SEIICHI NAKAGAWA, Ryota Kirino, Lukas Hoyer, Nélson Rodrigues de Carvalho, Dengxin Dai	2025	0
3	2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation Nélson Rodrigues de Carvalho, Dengxin Dai, Lukas Hoyer, H. Chihara, Luc Van Gool	2024	2
4	Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets Alaa Noah, Lukas Hoyer, Jan Eric Lenssen, Bernt Schiele, Nélson Rodrigues de Carvalho	2024	0
5	Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation International Journal of Computer Vision ·Lukas Hoyer, Dengxin Dai, Sven Bacher, Yuhua Chen, Luc Van Gool	2023	16
6	LiDAR Meta Depth Completion Alaa Noah, Lukas Hoyer, Nélson Rodrigues de Carvalho, Ke Li, Dengxin Dai	2023	2
7	Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Lukas Hoyer, Dengxin Dai, Luc Van Gool	2023	18
8	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool Hit paper breakdown →	2023	152
9	EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool	2023	5
10	DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Lukas Hoyer, Dengxin Dai, Luc Van Gool Hit paper breakdown →	2022	350
11	Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Sven Bacher, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink	2021	79
12	Grid Saliency for Context Explanations of Semantic Segmentation Neural Information Processing Systems ·Lukas Hoyer, Benedikte von Spreckelsen, Si‐Fan Xun, Anna Khoreva, Volker Fischer	2019	6

About Lukas Hoyer

Lukas Hoyer is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Industrial and Manufacturing Engineering and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 630 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Vision and Imaging (3 papers), Advanced Neural Network Applications (3 papers), COVID-19 diagnosis using AI (2 papers), Visual Attention and Saliency Detection (1 paper), Image Processing and 3D Reconstruction (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Artificial Intelligence (409 citations), Media Technology (84 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Geology (10 citations). Lukas Hoyer has collaborated with scholars based in Switzerland, Germany and Belgium. Frequent co-authors include Dengxin Dai, Luc Van Gool, Haoran Wang, Olga Fink, Yuhua Chen, Anton Obukhov, Volker Fischer, Anna Khoreva, Suman Saha and Jan Eric Lenssen. Their work appears in journals such as Pattern Recognition Letters, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Neural Information Processing Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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