Sangryul Jeon

414 total citations
12 papers, 133 citations indexed

About

Sangryul Jeon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Sangryul Jeon has authored 12 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Sangryul Jeon's work include Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (4 papers). Sangryul Jeon is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (4 papers). Sangryul Jeon collaborates with scholars based in South Korea, Switzerland and United States. Sangryul Jeon's co-authors include Kwanghoon Sohn, Seungryong Kim, Dongbo Min, Bumsub Ham, Stephen Lin, Sunok Kim, Brian Wang, Fei Pan, Stella X. Yu and Frank McKenna and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Sangryul Jeon

11 papers receiving 129 citations

Peers

Countries citing papers authored by Sangryul Jeon

Since Specialization

Citations

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

Fields of papers citing papers by Sangryul Jeon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangryul Jeon

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models 2024 ·Fei Pan, Sangryul Jeon, Brian Wang, Frank McKenna, Stella X. Yu	0
2	Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels 2023 ·Expert Systems with Applications ·(unknown), Sangryul Jeon, (unknown), Kwanghoon Sohn, Dongbo Min	2
3	Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning 2023 ·(unknown), Hunsang Lee, (unknown), Sangryul Jeon, Kwanghoon Sohn, Dongbo Min	1
4	Mining Better Samples for Contrastive Learning of Temporal Correspondence 2021 ·Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn	16
5	Pyramidal Semantic Correspondence Networks 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn	2
6	Video Summarization by Learning Relationships between Action and Scene 2019 ·(unknown), (unknown), Sangryul Jeon, Kwanghoon Sohn	4
7	Semantic Attribute Matching Networks 2019 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Seungryong Kim, Dongbo Min, (unknown), Sunok Kim, Sangryul Jeon, Kwanghoon Sohn	18
8	Joint Learning of Semantic Alignment and Object Landmark Detection 2019 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn	7
9	Graph Regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization 2019 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·(unknown), (unknown), Sangryul Jeon, Seungryong Kim, Kwanghoon Sohn	4
10	PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Estimation 2018 ·arXiv (Cornell University) ·Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn	4
11	Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos 2018 ·(unknown), Sangryul Jeon, Seungryong Kim, (unknown), Sunok Kim, Kwanghoon Sohn	2
12	FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence 2017 ·Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn	73

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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