Jae‐Pil Heo

1.5k total citations
57 papers, 825 citations indexed

About

Jae‐Pil Heo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jae‐Pil Heo has authored 57 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Jae‐Pil Heo's work include Advanced Image and Video Retrieval Techniques (16 papers), Multimodal Machine Learning Applications (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Jae‐Pil Heo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Multimodal Machine Learning Applications (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Jae‐Pil Heo collaborates with scholars based in South Korea, United States and Canada. Jae‐Pil Heo's co-authors include Sung‐Eui Yoon, Youngwoon Lee, Junfeng He, Shih-Fu Chang, Zhe Lin, Shih‐Fu Chang, Jihwan Kim, Jaehyuk Huh, John Kim and Min Tang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Jae‐Pil Heo

49 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Pil Heo South Korea 12 692 179 101 76 75 57 825
Roman Suvorov Russia 5 490 0.7× 107 0.6× 45 0.4× 93 1.2× 59 0.8× 17 682
Huimin Yu China 14 424 0.6× 94 0.5× 53 0.5× 31 0.4× 58 0.8× 59 590
Renrui Zhang China 10 453 0.7× 312 1.7× 50 0.5× 32 0.4× 45 0.6× 18 732
Agrim Gupta United States 4 997 1.4× 496 2.8× 59 0.6× 75 1.0× 32 0.4× 5 1.2k
Arsenii Ashukha Russia 4 520 0.8× 181 1.0× 19 0.2× 93 1.2× 59 0.8× 6 694
Shaowei Weng China 21 1.3k 1.8× 136 0.8× 30 0.3× 28 0.4× 96 1.3× 91 1.5k
Asif Masood Pakistan 13 249 0.4× 83 0.5× 68 0.7× 34 0.4× 21 0.3× 41 449
Feng Su China 13 301 0.4× 141 0.8× 196 1.9× 13 0.2× 74 1.0× 100 701
Ruichi Yu United States 7 586 0.8× 355 2.0× 49 0.5× 26 0.3× 23 0.3× 9 740
Simon Korman Israel 10 384 0.6× 47 0.3× 115 1.1× 50 0.7× 56 0.7× 16 513

Countries citing papers authored by Jae‐Pil Heo

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Pil Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Pil Heo. 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 Jae‐Pil Heo. The network helps show where Jae‐Pil Heo may publish in the future.

Co-authorship network of co-authors of Jae‐Pil Heo

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Pil Heo. A scholar is included among the top collaborators of Jae‐Pil Heo 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 Jae‐Pil Heo. Jae‐Pil Heo 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.
Heo, Jae‐Pil, et al.. (2025). Long-term pre-training for temporal action detection with transformers. Pattern Recognition. 171. 112144–112144.
2.
Heo, Jae‐Pil, et al.. (2025). Auto-Encoded Supervision for Perceptual Image Super-Resolution. 17958–17968.
3.
Heo, Jae‐Pil, et al.. (2025). Temporal Alignment-Free Video Matching for Few-Shot Action Recognition. 5412–5421. 1 indexed citations
4.
Heo, Jae‐Pil, et al.. (2024). Task-Disruptive Background Suppression for Few-Shot Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4442–4449. 4 indexed citations
5.
Heo, Jae‐Pil, et al.. (2024). Mutually-aware feature learning for few-shot object counting. Pattern Recognition. 161. 111276–111276. 1 indexed citations
6.
Heo, Jae‐Pil, et al.. (2024). Noise-Free Optimization in Early Training Steps for Image Super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 2920–2928. 1 indexed citations
8.
Heo, Jae‐Pil, et al.. (2024). Towards Squeezing-Averse Virtual Try-On via Sequential Deformation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4856–4863. 3 indexed citations
9.
Kang, Seunggu, et al.. (2024). VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2714–2722. 5 indexed citations
10.
Heo, Jae‐Pil, et al.. (2024). Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1448–1463. 2 indexed citations
11.
Heo, Jae‐Pil, et al.. (2023). TCX: Texture and channel swappings for domain generalization. Pattern Recognition Letters. 175. 74–80. 1 indexed citations
12.
Jun, Hee-Jung, et al.. (2023). Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images. International Journal of Urban Sciences. 28(2). 359–377. 3 indexed citations
13.
Kim, Hyunjun, et al.. (2023). Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1923–1930.
14.
Heo, Jae‐Pil, et al.. (2023). Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1993–2001. 3 indexed citations
15.
Heo, Jae‐Pil, et al.. (2023). Frequency-Based Motion Representation for Video Generative Adversarial Networks. IEEE Transactions on Image Processing. 32. 3949–3963. 2 indexed citations
16.
Heo, Jae‐Pil, et al.. (2023). Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1931–1939. 2 indexed citations
17.
Heo, Jae‐Pil, et al.. (2023). Query - Dependent Video Representation for Moment Retrieval and Highlight Detection. 23023–23033. 48 indexed citations
18.
Jeong, Woo‐Jin, et al.. (2022). Pivot-Guided Embedding for Domain Generalization. IEEE Access. 10. 126858–126870. 1 indexed citations
19.
Heo, Jae‐Pil, et al.. (2021). Pixel-Level Kernel Estimation for Blind Super-Resolution. IEEE Access. 9. 152803–152818. 3 indexed citations
20.
Heo, Jae‐Pil, et al.. (2019). Learning Coarse and Fine Features for Precise Temporal Action Localization. IEEE Access. 7. 149797–149809. 4 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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