Theo Gevers

15.5k citations

181 papers · 9.4k indexed · 2 hit papers · h-index 39

Impact in

Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Face recognition and analysis
Media Technology top 0.2%

Papers in

Computer Vision and Pattern Recognition 151
- Advanced Image and Video Retrieval Techniques 53
- Image Retrieval and Classification Techniques 46
- Image Enhancement Techniques 35
- Video Surveillance and Tracking Methods 25
- Advanced Vision and Imaging 22
- Face recognition and analysis 21
Media Technology 26

Co-authors: A.W.M. Smeulders Koen E. A. van de Sande Jasper Uijlings Arjan Gijsenij Joost van de Weijer Nicu Sebe Roberto Valenti Albert Ali Salah
Journals: IEEE Transactions on Image Processing (14 papers)Computer Vision and Image Understanding (9 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (9 papers)IEEE Transactions on Multimedia (7 papers)International Journal of Computer Vision (5 papers)
Partner nations: Netherlands Spain United States

In The Last Decade

Theo Gevers

176 papers receiving 8.9k citations

Hit Papers

align trajectories log scale

Selective Search for Object Recognition 2013 · 4.0k 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.

2013 International Journal of Computer Vision
2011 UvA-DARE (University of Amsterdam)

Peers

Countries citing papers authored by Theo Gevers

Since Specialization

Citations

This map shows the geographic impact of Theo Gevers'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 Theo Gevers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theo Gevers more than expected).

Fields of papers citing papers by Theo Gevers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theo Gevers. 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 Theo Gevers. The network helps show where Theo Gevers may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Theo Gevers, 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 Theo Gevers Line = papers co-authored together Theo Gevers links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	3D human pose estimation and action recognition using fisheye cameras: A survey and benchmark Pattern Recognition ·Yahui Zhang, Shaodi You, Sezer Karaoğlu, Theo Gevers	2025	2
2	MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM Run-Hua Fan, Theo Gevers, Martin R. Oswald	2025	1
3	Generalized Foggy-Scene Semantic Segmentation by Frequency Decoupling UvA-DARE (University of Amsterdam) ·Qi Bi, Shaodi You, Theo Gevers	2024	4
4	Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance Proceedings of the AAAI Conference on Artificial Intelligence ·Qi Bi, Shaodi You, Theo Gevers	2024	14
5	Kinship similarity for open sets Pattern Recognition ·Hao Zou, Shaodi You, Sezer Karaoğlu, Theo Gevers	2023	3
6	Pose Guided Human Motion Transfer by Exploiting 2D and 3D Information UvA-DARE (University of Amsterdam) ·Yahui Zhang, Shaodi You, Sezer Karaoğlu, Theo Gevers	2022	1
7	Unsupervised Generation of Optical Flow Datasets from Videos in the Wild arXiv (Cornell University) ·泰子大井川, Steffen Trippmacher, Thomas Mensink, 龍三田中, Sezer Karaoğlu, Theo Gevers	2018	1
8	3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local Contextual Cues UvA-DARE (University of Amsterdam) ·Wei Zeng, Theo Gevers	2017	2
9	Towards Personalised Gaming via Facial Expression Recognition Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment ·Jakub Knopp, Sander Bakkes, Chek Tien Tan, Shimon Whiteson, Diederik M. Roijers, Roberto Valenti, Theo Gevers	2014	54
10	Sparse Color Interest Points for Image Retrieval and Object Categorization IEEE Transactions on Image Processing ·Julian Stöttinger, Allan Hanbury, Nicu Sebe, Theo Gevers	2012	31
11	Color Constancy for Multiple Light Sources IEEE Transactions on Image Processing ·Arjan Gijsenij, Rui Lü, Theo Gevers	2011	108
12	Adding Texture to Color: Quantitative Analysis of Color Emotions UvA-DARE (University of Amsterdam) ·Marcel P. Lucassen, Theo Gevers, Arjan Gijsenij	2010	4
13	Color Constancy Using Natural Image Statistics and Scene Semantics IEEE Transactions on Pattern Analysis and Machine Intelligence ·Arjan Gijsenij, Theo Gevers	2010	185
14	Vision-based road detection using road models José M. Alvarez, Theo Gevers, Antonio M. López	2009	29
15	Edge Classification for Color Constancy Conference on Colour in Graphics Imaging and Vision ·Arjan Gijsenij, Theo Gevers, Joost van de Weijer	2008	1
16	Chromatic distribution affects colour constancy Perception ·Marcel P. Lucassen, Arjan Gijsenij, Theo Gevers	2008	0
17	Color Descriptors for Object Category Recognition Conference on Colour in Graphics Imaging and Vision ·Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek	2008	11
18	Accurate eye center location and tracking using isophote curvature UvA-DARE (University of Amsterdam) ·Roberto Valenti, Theo Gevers	2008	142
19	PicToSeek: combining color and shape invariant features for image retrieval IEEE Transactions on Image Processing ·Theo Gevers, A.W.M. Smeulders	2000	319
20	Enigma: An Image Retrieval System UvA-DARE (University of Amsterdam) ·Theo Gevers, A.W.M. Smeulders	1992	12

About Theo Gevers

Theo Gevers is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Atomic and Molecular Physics, and Optics and Computer Graphics and Computer-Aided Design, having authored 181 papers that have together received 9.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (53 papers), Image Retrieval and Classification Techniques (46 papers), Color Science and Applications (44 papers), Image Enhancement Techniques (35 papers), Video Surveillance and Tracking Methods (25 papers), Advanced Vision and Imaging (22 papers), Face recognition and analysis (21 papers) and Color perception and design (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.6k citations), Media Technology (1.4k citations), Human-Computer Interaction (513 citations), Industrial and Manufacturing Engineering (447 citations) and Artificial Intelligence (1.4k citations). Theo Gevers has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include A.W.M. Smeulders, Koen E. A. van de Sande, Jasper Uijlings, Arjan Gijsenij, Joost van de Weijer, Nicu Sebe, Roberto Valenti, Albert Ali Salah, H.M.G. Stokman and Ira L. Cohen. Their work appears in journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and International Journal of Computer Vision.

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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