Wongun Choi

6.2k total citations · 4 hit papers
21 papers, 3.3k citations indexed

About

Wongun Choi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Wongun Choi has authored 21 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Wongun Choi's work include Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Wongun Choi is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Wongun Choi collaborates with scholars based in United States, China and Japan. Wongun Choi's co-authors include Silvio Savarese, Yuanqing Lin, Manmohan Chandraker, Fan Yang, Paul Vernaza, Christopher Choy, Philip H. S. Torr, Namhoon Lee, Caroline Pantofaru and Xiang Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Robotics and Autonomous Systems.

In The Last Decade

Wongun Choi

21 papers receiving 3.2k citations

Hit Papers

DESIRE: Distant Future Prediction in Dynamic Scenes with ... 2016 2026 2019 2022 2017 2017 2016 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wongun Choi United States 16 2.6k 1.1k 1.1k 456 421 21 3.3k
Jianru Xue China 27 2.3k 0.9× 899 0.8× 769 0.7× 262 0.6× 378 0.9× 157 3.1k
Christian Wojek Germany 13 3.6k 1.4× 963 0.9× 733 0.7× 388 0.9× 435 1.0× 19 4.0k
Huijing Zhao China 28 1.5k 0.6× 503 0.5× 767 0.7× 190 0.4× 548 1.3× 128 2.6k
Vignesh Ramanathan United States 15 1.8k 0.7× 1.1k 1.0× 1.4k 1.3× 578 1.3× 83 0.2× 29 2.9k
David Fernández Llorca Spain 31 1.4k 0.5× 379 0.3× 1.2k 1.1× 366 0.8× 363 0.9× 120 2.9k
Lionel Ott Australia 15 2.2k 0.8× 536 0.5× 404 0.4× 214 0.5× 878 2.1× 63 3.0k
Kang-Hyun Jo South Korea 26 1.9k 0.7× 363 0.3× 366 0.3× 319 0.7× 333 0.8× 353 2.7k
José María Armingol Spain 30 2.1k 0.8× 353 0.3× 833 0.8× 233 0.5× 771 1.8× 135 3.4k
John M. Dolan United States 32 1.6k 0.6× 679 0.6× 2.2k 2.1× 312 0.7× 523 1.2× 166 3.9k
Osama Masoud United States 22 1.7k 0.6× 477 0.4× 443 0.4× 269 0.6× 123 0.3× 49 2.1k

Countries citing papers authored by Wongun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Wongun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wongun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Wongun Choi. A scholar is included among the top collaborators of Wongun Choi 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 Wongun Choi. Wongun Choi 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.
Yasarla, Rajeev, Renliang Weng, Wongun Choi, Vishal M. Patel, & Amir Sadeghian. (2024). 3SD: Self-Supervised Saliency Detection With No Labels. 312–321. 4 indexed citations
2.
Weng, Renliang, et al.. (2022). Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13106–13115. 34 indexed citations
3.
Xu, Yifei, Mathew Monfort, Wongun Choi, et al.. (2019). Multi-Agent Tensor Fusion for Contextual Trajectory Prediction. 12118–12126. 320 indexed citations breakdown →
4.
Choi, Wongun, et al.. (2018). Bird’s eye view localization of surrounding vehicles: Longitudinal and lateral distance estimation with partial appearance. Robotics and Autonomous Systems. 112. 178–189. 4 indexed citations
5.
Yu, Xiang, Wongun Choi, Yuanqing Lin, & Silvio Savarese. (2017). Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. 924–933. 193 indexed citations
6.
Lee, Namhoon, Wongun Choi, Paul Vernaza, et al.. (2017). DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 2165–2174. 624 indexed citations breakdown →
7.
Chen, Guobin, Wongun Choi, Yu Xiang, Tony Xiao Han, & Manmohan Chandraker. (2017). Learning efficient object detection models with knowledge distillation. 30. 742–751. 411 indexed citations breakdown →
8.
Choi, Wongun, et al.. (2016). Atomic scenes for scalable traffic scene recognition in monocular videos. 1–9. 5 indexed citations
9.
Yang, Fan, Wongun Choi, & Yuanqing Lin. (2016). Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers. 2129–2137. 379 indexed citations breakdown →
10.
Yu, Xiang, Wongun Choi, Yuanqing Lin, & Silvio Savarese. (2015). Data-driven 3D Voxel Patterns for object category recognition. 1903–1911. 196 indexed citations
11.
Choi, Wongun. (2015). Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor. 3029–3037. 265 indexed citations
12.
Choi, Wongun & Silvio Savarese. (2014). Understanding Collective Activitiesof People from Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(6). 1242–1257. 112 indexed citations
13.
Choi, Wongun, Yu-Wei Chao, Caroline Pantofaru, & Silvio Savarese. (2014). Indoor Scene Understanding with Geometric and Semantic Contexts. International Journal of Computer Vision. 112(2). 204–220. 32 indexed citations
14.
Choi, Wongun, Yu-Wei Chao, Caroline Pantofaru, & Silvio Savarese. (2013). A Discriminative Model for Learning Semantic and Geometric Interactions in Indoor Scenes ∗. 1 indexed citations
15.
Choi, Wongun, Yu-Wei Chao, Caroline Pantofaru, & Silvio Savarese. (2013). Understanding Indoor Scenes Using 3D Geometric Phrases. 102 indexed citations
16.
Choi, Wongun, et al.. (2013). Breaking the Chain: Liberation from the Temporal Markov Assumption for Tracking Human Poses. 1. 2424–2431. 13 indexed citations
17.
Choi, Wongun, Caroline Pantofaru, & Silvio Savarese. (2012). A General Framework for Tracking Multiple People from a Moving Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(7). 1577–1591. 122 indexed citations
18.
Choi, Wongun, et al.. (2011). Learning context for collective activity recognition. 3273–3280. 158 indexed citations
19.
Choi, Wongun, Caroline Pantofaru, & Silvio Savarese. (2011). Detecting and tracking people using an RGB-D camera via multiple detector fusion. 1076–1083. 86 indexed citations
20.

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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