Keng Teck

650 total citations
14 papers, 418 citations indexed

About

Keng Teck is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Keng Teck has authored 14 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Keng Teck's work include Visual Attention and Saliency Detection (4 papers), Human Pose and Action Recognition (3 papers) and Bayesian Methods and Mixture Models (3 papers). Keng Teck is often cited by papers focused on Visual Attention and Saliency Detection (4 papers), Human Pose and Action Recognition (3 papers) and Bayesian Methods and Mixture Models (3 papers). Keng Teck collaborates with scholars based in Singapore, United States and South Korea. Keng Teck's co-authors include Xiaogang Wang, Gee-Wah Ng, W. Eric L. Grimson, Joo‐Hwee Lim, Qi Zhao, Mengmi Zhang, Jiashi Feng, Cheston Tan, Gabriel Kreiman and Weiling Chen and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Keng Teck

14 papers receiving 405 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keng Teck Singapore 8 323 238 80 41 32 14 418
Gee-Wah Ng Singapore 7 228 0.7× 258 1.1× 79 1.0× 47 1.1× 5 0.2× 14 391
Diego Tosato Italy 8 245 0.8× 126 0.5× 17 0.2× 40 1.0× 21 0.7× 13 350
Eric Sommerlade United Kingdom 9 211 0.7× 87 0.4× 35 0.4× 28 0.7× 11 0.3× 19 295
Berkan Solmaz Türkiye 9 308 1.0× 201 0.8× 19 0.2× 81 2.0× 11 0.3× 16 388
Arnaldo J. Abrantes Portugal 9 206 0.6× 90 0.4× 29 0.4× 13 0.3× 14 0.4× 34 297
Francesco Solera Italy 9 241 0.7× 116 0.5× 13 0.2× 44 1.1× 38 1.2× 11 310
Shengmei Shen China 11 462 1.4× 157 0.7× 136 1.7× 5 0.1× 12 0.4× 16 582
Dharmpal D. Doye India 11 124 0.4× 82 0.3× 42 0.5× 8 0.2× 73 2.3× 41 341
Tingting Xu China 9 184 0.6× 61 0.3× 18 0.2× 13 0.3× 32 1.0× 35 278
Changping Liu China 11 312 1.0× 120 0.5× 64 0.8× 13 0.3× 18 0.6× 50 397

Countries citing papers authored by Keng Teck

Since Specialization
Citations

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

Fields of papers citing papers by Keng Teck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keng Teck

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

All Works

14 of 14 papers shown
1.
Zhao, Na, et al.. (2024). Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2049–2057. 2 indexed citations
2.
3.
Chen, Weiling, et al.. (2023). TEVAD: Improved video anomaly detection with captions. 5549–5559. 20 indexed citations
4.
Sim, Terence, et al.. (2019). Which Body Is Mine?. National University of Singapore. 1. 829–838. 5 indexed citations
5.
Teck, Keng, et al.. (2019). An End-To-End Network for Generating Social Relationship Graphs. 11178–11187. 29 indexed citations
6.
Zhang, Mengmi, Jiashi Feng, Keng Teck, et al.. (2018). Finding any Waldo with zero-shot invariant and efficient visual search. Nature Communications. 9(1). 3730–3730. 29 indexed citations
7.
Zhang, Mengmi, et al.. (2018). Egocentric Spatial Memory. 436. 137–144. 1 indexed citations
8.
Zhang, Mengmi, Keng Teck, Joo‐Hwee Lim, Qi Zhao, & Jiashi Feng. (2018). Anticipating Where People will Look Using Adversarial Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(8). 1783–1796. 10 indexed citations
9.
Zhang, Mengmi, Keng Teck, Joo‐Hwee Lim, Qi Zhao, & Jiashi Feng. (2017). Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. 3539–3548. 66 indexed citations
10.
Zhang, Mengmi, Keng Teck, Joo‐Hwee Lim, & Qi Zhao. (2017). Foveated neural network: Gaze prediction on egocentric videos. 3720–3724. 2 indexed citations
11.
Zhang, Li, et al.. (2013). A talking profile to distinguish identical twins. National University of Singapore. 1–6. 1 indexed citations
12.
Wang, Xiaogang, Keng Teck, Gee-Wah Ng, & W. Eric L. Grimson. (2011). Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models. International Journal of Computer Vision. 95(3). 287–312. 123 indexed citations
13.
Wang, Xiaogang, Keng Teck, & Eric Grimson. (2008). Trajectory Analysis and Semantic Region Modeling Using A Nonparametric. 1 indexed citations
14.
Wang, Xiaogang, Keng Teck, Gee-Wah Ng, & W. Eric L. Grimson. (2008). Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. DSpace@MIT (Massachusetts Institute of Technology). 1–8. 121 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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2026