Koen E. A. van de Sande

9.5k total citations · 3 hit papers
19 papers, 6.2k citations indexed

About

Koen E. A. van de Sande is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Koen E. A. van de Sande has authored 19 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Koen E. A. van de Sande's work include Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Koen E. A. van de Sande is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Koen E. A. van de Sande collaborates with scholars based in Netherlands, Italy and United States. Koen E. A. van de Sande's co-authors include Theo Gevers, A.W.M. Smeulders, Jasper Uijlings, Cees G. M. Snoek, Th. Gevers, Amirhossein Habibian, Jan van Gemert, Noora Partamies, Marcel Worring and D.C. Koelma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

Koen E. A. van de Sande

19 papers receiving 5.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Selective Search for Object Recognition

2013 4.0k citations Jasper Uijlings, Koen E. A. van de Sande et al. International Journal of Computer Vision profile →
Evaluating Color Descriptors for Object and Scene Recognition

2009 1.2k citations Koen E. A. van de Sande, Th. Gevers et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Segmentation as selective search for object recognition

2011 480 citations Koen E. A. van de Sande, Jasper Uijlings et al. UvA-DARE (University of Amsterdam) profile →

Peers

Countries citing papers authored by Koen E. A. van de Sande

Since Specialization

Citations

This map shows the geographic impact of Koen E. A. van de Sande'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 Koen E. A. van de Sande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koen E. A. van de Sande more than expected).

Fields of papers citing papers by Koen E. A. van de Sande

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen E. A. van de Sande. 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 Koen E. A. van de Sande. The network helps show where Koen E. A. van de Sande may publish in the future.

Co-authorship network of co-authors of Koen E. A. van de Sande

This figure shows the co-authorship network connecting the top 25 collaborators of Koen E. A. van de Sande. A scholar is included among the top collaborators of Koen E. A. van de Sande based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koen E. A. van de Sande. Koen E. A. van de Sande is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

#	Work	Indexed citations
1	Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video 2015 ·UvA-DARE (University of Amsterdam) ·Cees G. M. Snoek, (unknown), Daniel Fontijne, (unknown), D.C. Koelma, Pascal Mettes, Koen E. A. van de Sande, (unknown), H.M.G. Stokman, R. Blythe Towal	8
2	MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video 2014 ·UvA-DARE (University of Amsterdam) ·Cees G. M. Snoek, Koen E. A. van de Sande, Daniel Fontijne, (unknown), Jan van Gemert, Amirhossein Habibian, Thomas Mensink, Pascal Mettes, Ran Tao, D.C. Koelma, A.W.M. Smeulders	23
3	Fisher and VLAD with FLAIR 2014 ·UvA-DARE (University of Amsterdam) ·Koen E. A. van de Sande, Cees G. M. Snoek, A.W.M. Smeulders	29
4	Automatic Auroral Detection in Color All-Sky Camera Images 2014 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·(unknown), Noora Partamies, O. A. Amariutei, M. Syrjäsuo, Koen E. A. van de Sande	23
5	Evaluating multimedia features and fusion for example-based event detection 2013 ·Machine Vision and Applications ·Gregory Myers, Ramesh Nallapati, Julien van Hout, (unknown), Ramakant Nevatia, Chen Sun, Amirhossein Habibian, D.C. Koelma, Koen E. A. van de Sande, A.W.M. Smeulders, Cees G. M. Snoek	24
6	Recommendations for video event recognition using concept vocabularies 2013 ·UvA-DARE (University of Amsterdam) ·Amirhossein Habibian, Koen E. A. van de Sande, Cees G. M. Snoek	47
7	Selective Search for Object Recognition breakdown → 2013 ·International Journal of Computer Vision ·Jasper Uijlings, Koen E. A. van de Sande, Theo Gevers, A.W.M. Smeulders	3967
8	Codemaps - Segment, Classify and Search Objects Locally 2013 ·UvA-DARE (University of Amsterdam) ·Zhenyang Li, Efstratios Gavves, Koen E. A. van de Sande, Cees G. M. Snoek, A.W.M. Smeulders	8
9	All vehicles are cars 2012 ·UvA-DARE (University of Amsterdam) ·(unknown), Cees G. M. Snoek, Koen E. A. van de Sande, A.W.M. Smeulders	5
10	Segmentation as selective search for object recognition breakdown → 2011 ·UvA-DARE (University of Amsterdam) ·Koen E. A. van de Sande, Jasper Uijlings, Theo Gevers, A.W.M. Smeulders	480
11	Empowering Visual Categorization With the GPU 2010 ·IEEE Transactions on Multimedia ·Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek	59
12	The University of Amsterdam's Concept Detection System at ImageCLEF 2010. 2010 ·Koen E. A. van de Sande, (unknown)	5
13	Evaluating Color Descriptors for Object and Scene Recognition breakdown → 2009 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Koen E. A. van de Sande, Th. Gevers, Cees G. M. Snoek	1192
14	Visual category recognition using Spectral Regression and Kernel Discriminant Analysis 2009 ·UvA-DARE (University of Amsterdam) ·Muhammad Atif Tahir, Josef Kittler, Krystian Mikolajczyk, Fei Yan, Koen E. A. van de Sande, Theo Gevers	17
15	Color Descriptors for Object Category Recognition 2008 ·Conference on Colour in Graphics Imaging and Vision ·Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek	11
16	Evaluation of color descriptors for object and scene recognition 2008 ·UvA-DARE (University of Amsterdam) ·Koen E. A. van de Sande, (unknown), Cees G. M. Snoek	143
17	VideOlympics: Real-Time Evaluation of Multimedia Retrieval Systems 2008 ·IEEE Multimedia ·Cees G. M. Snoek, Marcel Worring, (unknown), Koen E. A. van de Sande, Rong Yan, Alexander G. Hauptmann	32
18	A comparison of color features for visual concept classification 2008 ·UvA-DARE (University of Amsterdam) ·Koen E. A. van de Sande, Theo Gevers, Cees G. M. Snoek	57
19	The MediaMill TRECVID 2004 Semantic Video Search Engine 2004 ·UvA-DARE (University of Amsterdam) ·Cees G. M. Snoek, Koen E. A. van de Sande, (unknown), (unknown), Jan van Gemert, (unknown), (unknown)	84

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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