Jae‐Joon Han

750 total citations
37 papers, 426 citations indexed

About

Jae‐Joon Han is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Jae‐Joon Han has authored 37 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 8 papers in Human-Computer Interaction and 6 papers in Artificial Intelligence. Recurrent topics in Jae‐Joon Han's work include Face recognition and analysis (11 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (7 papers). Jae‐Joon Han is often cited by papers focused on Face recognition and analysis (11 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (7 papers). Jae‐Joon Han collaborates with scholars based in South Korea, China and United States. Jae‐Joon Han's co-authors include Sungjoo Suh, Wonjun Kim, Seungju Han, Changkyu Choi, Wonjun Hwang, Wonjun Kim, Chang-Yeong Kim, ByungIn Yoo, Du‐Sik Park and Jinwoo Shin and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Electronics Letters.

In The Last Decade

Jae‐Joon Han

35 papers receiving 408 citations

Peers

Jae‐Joon Han
Erik Hjelmås United Kingdom
Chi Fang China
Yun Tie China
P. Kakumanu United States
Ben Daubney United Kingdom
David S. Bolme United States
Jae‐Joon Han
Citations per year, relative to Jae‐Joon Han Jae‐Joon Han (= 1×) peers Ester González-Sosa

Countries citing papers authored by Jae‐Joon Han

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Joon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae‐Joon Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Joon Han. A scholar is included among the top collaborators of Jae‐Joon Han 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‐Joon Han. Jae‐Joon Han 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.
Li, Hui, et al.. (2022). Towards Accurate Facial Landmark Detection via Cascaded Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4166–4175. 22 indexed citations
2.
Han, Seungju, et al.. (2022). Pushing the Performance Limit of Scene Text Recognizer without Human Annotation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14096–14105. 15 indexed citations
3.
Kang, Eun‐Hee, et al.. (2021). Controllable Image Restoration for Under-Display Camera in Smartphones. 2073–2082. 18 indexed citations
4.
Yu, Jiaqian, et al.. (2021). Learning Generalized Intersection Over Union for Dense Pixelwise Prediction. 12198–12207. 9 indexed citations
5.
Yoo, ByungIn, et al.. (2021). RaScaNet: Learning Tiny Models by Raster-Scanning Images. 13668–13677. 6 indexed citations
6.
Park, Seong-Jin, Seungju Han, Ji-Won Baek, et al.. (2020). Meta Variance Transfer: Learning to Augment from the Others. 1. 7510–7520. 13 indexed citations
7.
Wang, Lichen, Zhengming Ding, Seungju Han, et al.. (2019). Generative Correlation Discovery Network for Multi-label Learning. 588–597. 7 indexed citations
8.
Han, Jae‐Joon, et al.. (2018). Joint Training of Low-Precision Neural Network with Quantization Interval Parameters. arXiv (Cornell University). 7 indexed citations
9.
Kim, Youngsung, Hui Zhang, ByungIn Yoo, et al.. (2018). Residual Encoder Decoder Network and Adaptive Prior for Face Parsing. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 10 indexed citations
10.
Ding, Zhengming, Ming Shao, Wonjun Hwang, et al.. (2018). Robust Discriminative Metric Learning for Image Representation. IEEE Transactions on Circuits and Systems for Video Technology. 29(11). 3173–3183. 19 indexed citations
11.
Yoo, ByungIn, et al.. (2017). Deep neural network using color and synthesized three-dimensional shape for face recognition. Journal of Electronic Imaging. 26(2). 20502–20502. 2 indexed citations
12.
Wang, Biao, et al.. (2015). Robust pose normalization for face recognition under varying views. 4642. 1648–1652. 2 indexed citations
13.
Kim, Wonjun, Sungjoo Suh, Wonjun Hwang, & Jae‐Joon Han. (2014). SVD Face: Illumination-Invariant Face Representation. IEEE Signal Processing Letters. 21(11). 1336–1340. 41 indexed citations
14.
Hwang, Wonjun, Wonjun Kim, Sungjoo Suh, Jae‐Joon Han, & Junmo Kim. (2014). Face recognition using average example image. Electronics Letters. 50(25). 1921–1923. 1 indexed citations
15.
Nam, Dongkyung, et al.. (2014). Hierarchical gaze estimation based on adaptive feature learning. 3347–3351. 7 indexed citations
16.
Han, Jae‐Joon, Changkyu Choi, ByungIn Yoo, Du‐Sik Park, & Chang-Yeong Kim. (2013). Real-time hand shape recognition by orientation invariant data learning for smart TV. 552–553. 2 indexed citations
17.
Kim, Sang‐Kyun, et al.. (2012). Virtual world control system using sensed information and adaptation engine. Signal Processing Image Communication. 28(2). 87–96. 9 indexed citations
18.
Han, Seungju, Jae‐Joon Han, James D. K. Kim, & Chang-Yeong Kim. (2012). Connecting users to virtual worlds within MPEG-V standardization. Signal Processing Image Communication. 28(2). 97–113. 5 indexed citations
19.
Choi, Changkyu, et al.. (2011). Novel LCDs with IR‐sensitive backlights. Journal of the Society for Information Display. 19(1). 48–56.
20.
Choi, Changkyu, et al.. (2010). 45.2: Distinguished Paper : Novel LCD Display with a Sensible Backlight. SID Symposium Digest of Technical Papers. 41(1). 673–676. 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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