Thomas Mensink

7.7k total citations · 2 hit papers
49 papers, 2.8k citations indexed

About

Thomas Mensink is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Thomas Mensink has authored 49 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Thomas Mensink's work include Advanced Image and Video Retrieval Techniques (24 papers), Multimodal Machine Learning Applications (17 papers) and Image Retrieval and Classification Techniques (16 papers). Thomas Mensink is often cited by papers focused on Advanced Image and Video Retrieval Techniques (24 papers), Multimodal Machine Learning Applications (17 papers) and Image Retrieval and Classification Techniques (16 papers). Thomas Mensink collaborates with scholars based in Netherlands, France and United States. Thomas Mensink's co-authors include Jakob Verbeek, Florent Perronnin, Jorge Sánchez, Cees G. M. Snoek, Matthieu Guillaumin, Cordelia Schmid, Amirhossein Habibian, G. Csurka, Efstratios Gavves and Jan van Gemert and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Thomas Mensink

47 papers receiving 2.7k citations

Hit Papers

Image Classification with the Fisher Vector: Theory and P... 2009 2026 2014 2020 2013 2009 250 500 750

Peers

Thomas Mensink
Jan van Gemert Netherlands
Zuxuan Wu China
Rameswar Panda United States
Qianru Sun Singapore
Piotr Koniusz Australia
Jan van Gemert Netherlands
Thomas Mensink
Citations per year, relative to Thomas Mensink Thomas Mensink (= 1×) peers Jan van Gemert

Countries citing papers authored by Thomas Mensink

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mensink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Mensink

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Mensink. A scholar is included among the top collaborators of Thomas Mensink 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 Thomas Mensink. Thomas Mensink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hoogeboom, Emiel, et al.. (2025). Simpler Diffusion: 1.5 FID on ImageNet512 with pixel-space diffusion. 18062–18071.
2.
Chen, Yunlu, Basura Fernando, Hakan Bilen, Thomas Mensink, & Efstratios Gavves. (2021). Neural Feature Matching in Implicit 3D Representations. UvA-DARE (University of Amsterdam). 1582–1593. 2 indexed citations
3.
Chen, Yunlu, Thomas Mensink, & Efstratios Gavves. (2019). 3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. 173–182. 13 indexed citations
4.
Mensink, Thomas, et al.. (2019). IterGANs: Iterative GANs to learn and control 3D object transformation. Computer Vision and Image Understanding. 189. 102803–102803. 3 indexed citations
5.
Caputo, Barbara, et al.. (2018). DeepNCM: Deep Nearest Class Mean Classifiers. International Conference on Learning Representations. 16 indexed citations
6.
Mensink, Thomas, et al.. (2018). Unsupervised Generation of Optical Flow Datasets from Videos in the Wild. arXiv (Cornell University). 1 indexed citations
7.
Mensink, Thomas, et al.. (2018). Iterative GANs for Rotating Visual Objects.. International Conference on Learning Representations. 2 indexed citations
8.
Mensink, Thomas, et al.. (2018). Three for one and one for three: Flow, Segmentation, and Surface Normals. arXiv (Cornell University). 145. 2 indexed citations
9.
Nagel, Markus, Thomas Mensink, & Cees G. M. Snoek. (2015). Event Fisher Vectors: Robust Encoding Visual Diversity of Visual Streams. UvA-DARE (University of Amsterdam). 178.1–178.12. 19 indexed citations
10.
Jain, Mihir, Jan van Gemert, Thomas Mensink, & Cees G. M. Snoek. (2015). Objects2action: Classifying and Localizing Actions without Any Video Example. UvA-DARE (University of Amsterdam). 4588–4596. 69 indexed citations
11.
Gavves, Efstratios, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, & Tinne Tuytelaars. (2015). Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. UvA-DARE (University of Amsterdam). 2731–2739. 34 indexed citations
12.
Mensink, Thomas, Efstratios Gavves, & Cees G. M. Snoek. (2014). COSTA: Co-Occurrence Statistics for Zero-Shot Classification. UvA-DARE (University of Amsterdam). 2441–2448. 140 indexed citations
13.
Snoek, Cees G. M., Koen E. A. van de Sande, Daniel Fontijne, et al.. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. UvA-DARE (University of Amsterdam). 23 indexed citations
14.
Gemert, Jan van, et al.. (2014). Robustifying Descriptor Instability Using Fisher Vectors. IEEE Transactions on Image Processing. 23(12). 5698–5706. 2 indexed citations
15.
Mensink, Thomas, Jakob Verbeek, Florent Perronnin, & G. Csurka. (2013). Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2624–2637. 237 indexed citations
16.
Mensink, Thomas, Jakob Verbeek, & Gabriela Csurka. (2013). Tree-Structured CRF Models for Interactive Image Labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(2). 476–489. 22 indexed citations
17.
Douze, Matthijs, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, & Jakob Verbeek. (2009). INRIA-LEAR's Participation in ImageCLEF 2009.. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
18.
Guillaumin, Matthieu, Thomas Mensink, Jakob Verbeek, & Cordelia Schmid. (2009). TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. HAL (Le Centre pour la Communication Scientifique Directe). 309–316. 487 indexed citations breakdown →
19.
Mensink, Thomas & Jakob Verbeek. (2008). Improving people search using query expansions: How friends help to find people. 9 indexed citations
20.
Mensink, Thomas. (2007). Multi-Observations Newscast EM for Distributed Multi-Camera Tracking. 95(6). 699–704. 2 indexed citations

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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