Sean I. Young

406 total citations
21 papers, 188 citations indexed

About

Sean I. Young is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Sean I. Young has authored 21 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in Sean I. Young's work include Advanced Vision and Imaging (8 papers), Video Coding and Compression Technologies (7 papers) and Advanced Image Processing Techniques (6 papers). Sean I. Young is often cited by papers focused on Advanced Vision and Imaging (8 papers), Video Coding and Compression Technologies (7 papers) and Advanced Image Processing Techniques (6 papers). Sean I. Young collaborates with scholars based in United States, Australia and Singapore. Sean I. Young's co-authors include David Taubman, Bernd Girod, Zhe Wang, Gordon Wetzstein, David B. Lindell, Reji Mathew, Yi Liu, Seokhyeon Kim, Ashish Sharma and Heejong Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Sean I. Young

19 papers receiving 185 citations

Peers

Sean I. Young

CVPR

INSTR

Mario Bijelic Germany

Benedikt Bitterli United States

Zhaoyang Lyu China

Guoquan Xu China

Shuzhou Yang China

Zhuangzi Li China

Mikaël Le Pendu France

Marcos Fajardo United States

Ruiying Lu China

Yejian Zhou China

Mario Bijelic Germany

Sean I. Young

118 ×1.1

CVPR

34 ×1.2

INSTR

27 ×1.1

19 ×0.8

18 ×0.7

Citations per year, relative to Sean I. Young Sean I. Young (= 1×) peers Mario Bijelic

Countries citing papers authored by Sean I. Young

Since Specialization

Citations

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

Fields of papers citing papers by Sean I. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean I. Young. 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 Sean I. Young. The network helps show where Sean I. Young may publish in the future.

Co-authorship network of co-authors of Sean I. Young

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

All Works

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20 of 20 papers shown

Young, Sean I., Yaël Balbastre, Bruce Fischl, Polina Golland, & Juan Eugenio Iglesias. (2024). Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. 11535–11545.

Kim, Heejong, et al.. (2024). A Framework for Interpretability in Machine Learning for Medical Imaging. IEEE Access. 12. 53277–53292. 14 indexed citations

Young, Sean I., Adrian V. Dalca, Enzo Ferrante, et al.. (2023). Supervision by Denoising. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7279–7291. 3 indexed citations

Young, Sean I., et al.. (2023). Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. PubMed. 2(PIPPI 2022). 527–546. 3 indexed citations

Young, Sean I., Yaël Balbastre, Adrian V. Dalca, et al.. (2022). SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration. Lecture notes in computer science. 13386. 103–115. 3 indexed citations

Wang, Zhe, et al.. (2021). Rate-Distortion Optimized Coding for Efficient CNN Compression. 253–262. 6 indexed citations

Young, Sean I., Zhe Wang, David Taubman, & Bernd Girod. (2020). Transform Quantization for CNN (Convolutional Neural Network) Compression. arXiv (Cornell University). 47 indexed citations

Young, Sean I., David B. Lindell, Bernd Girod, David Taubman, & Gordon Wetzstein. (2020). Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1404–1413. 32 indexed citations

Young, Sean I., Bernd Girod, & David Taubman. (2020). Gaussian Lifting for Fast Bilateral and Nonlocal Means Filtering. IEEE Transactions on Image Processing. 29. 6082–6095. 11 indexed citations

10.

Young, Sean I., Bernd Girod, & David Taubman. (2020). Fast Optical Flow Extraction From Compressed Video. IEEE Transactions on Image Processing. 29. 6409–6421. 11 indexed citations

11.

Young, Sean I., et al.. (2019). Solving Vision Problems via Filtering. UNSWorks (University of New South Wales, Sydney, Australia). 20. 5591–5600.

12.

Young, Sean I., et al.. (2019). Graph Laplacian Regularization for Robust Optical Flow Estimation. IEEE Transactions on Image Processing. 29. 3970–3983. 9 indexed citations

13.

Young, Sean I., et al.. (2018). COGL: Coefficient Graph Laplacians for Optimized JPEG Image Decoding. IEEE Transactions on Image Processing. 28(1). 343–355. 22 indexed citations

14.

Young, Sean I. & David Taubman. (2018). Fast Optical Flow Extraction from Compressed Video. UNSWorks (University of New South Wales, Sydney, Australia). 20. 1–8. 1 indexed citations

15.

Mathew, Reji, et al.. (2018). Rate-Distortion Optimized Illumination Estimation for Wavelet-Based Video Coding. UNSWorks (University of New South Wales, Sydney, Australia). 13. 1213–1217. 2 indexed citations

16.

Mathew, Reji, Sean I. Young, & David Taubman. (2015). Optimization of optical flow for scalable coding. 70–74. 1 indexed citations

17.

Young, Sean I., Reji Mathew, & David Taubman. (2014). Embedded coding of optical flow fields for scalable video compression. 2. 1–6. 2 indexed citations

18.

Young, Sean I., Reji Mathew, & David Taubman. (2013). Robust sum of Linear-Log Squared Differences distortion measure and its applications. 73–76. 2 indexed citations

19.

Young, Sean I., Reji Mathew, & David Taubman. (2013). Joint estimation of motion and arc breakpoints for scalable compression. 2. 479–482. 5 indexed citations

20.

Hsu, Lih‐Hsing, et al.. (1987). <title>Development Of A Software Driven Medical Laser System For Tissue Fusion At 1.32 μm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 712. 32–33. 1 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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