Michel Sarkis

492 total citations
26 papers, 300 citations indexed

About

Michel Sarkis is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Michel Sarkis has authored 26 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 7 papers in Media Technology. Recurrent topics in Michel Sarkis's work include Advanced Vision and Imaging (13 papers), Optical measurement and interference techniques (7 papers) and Image Processing Techniques and Applications (6 papers). Michel Sarkis is often cited by papers focused on Advanced Vision and Imaging (13 papers), Optical measurement and interference techniques (7 papers) and Image Processing Techniques and Applications (6 papers). Michel Sarkis collaborates with scholars based in Germany, United States and United Kingdom. Michel Sarkis's co-authors include Shang‐Hong Lai, Klaus Diepold, Yiying Tong, Xiaoming Liu, Yawen Lu, Guoyu Lu, Knut Hüper, Min Tang, Ruofeng Tong and Ze Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Visualization and Computer Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Michel Sarkis

22 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Sarkis Germany 10 257 93 45 34 31 26 300
Kailing Guo China 9 296 1.2× 43 0.5× 34 0.8× 9 0.3× 96 3.1× 36 398
Jinhee Chun Japan 6 157 0.6× 97 1.0× 11 0.2× 34 1.0× 8 0.3× 19 235
Oleg Alexander United States 12 372 1.4× 18 0.2× 171 3.8× 79 2.3× 23 0.7× 23 468
Bernhard Egger Germany 11 237 0.9× 17 0.2× 63 1.4× 18 0.5× 5 0.2× 27 349
Lingyu Wei United States 7 388 1.5× 23 0.2× 202 4.5× 83 2.4× 12 0.4× 11 486
Xuanyu He China 8 271 1.1× 40 0.4× 5 0.1× 11 0.3× 21 0.7× 8 358
Rogério Feris United States 12 424 1.6× 116 1.2× 9 0.2× 6 0.2× 26 0.8× 27 494
Jose Echevarria United States 11 376 1.5× 16 0.2× 74 1.6× 119 3.5× 23 0.7× 27 496
Sei Naito Japan 9 254 1.0× 19 0.2× 5 0.1× 27 0.8× 15 0.5× 67 300

Countries citing papers authored by Michel Sarkis

Since Specialization
Citations

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

Fields of papers citing papers by Michel Sarkis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Sarkis

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Sarkis. A scholar is included among the top collaborators of Michel Sarkis 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 Michel Sarkis. Michel Sarkis 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.
Lu, Yawen, et al.. (2022). From Local to Holistic: Self-supervised Single Image 3D Face Reconstruction Via Multi-level Constraints. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8368–8375. 2 indexed citations
2.
Sarkis, Michel, et al.. (2022). Face Relighting with Geometrically Consistent Shadows. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4207–4216. 18 indexed citations
3.
Zhang, Ze, et al.. (2021). Towards High Fidelity Face Relighting with Realistic Shadows. 14714–14723. 25 indexed citations
4.
Lu, Yawen, Michel Sarkis, & Guoyu Lu. (2020). Multi-Task Learning for Single Image Depth Estimation and Segmentation Based on Unsupervised Network. 10788–10794. 12 indexed citations
5.
Lai, Shang‐Hong, et al.. (2018). A Compact Deep Learning Model for Robust Facial Expression Recognition. 2202–22028. 113 indexed citations
6.
Tong, Ruofeng, et al.. (2015). Parametric Human Body Reconstruction Based on Sparse Key Points. IEEE Transactions on Visualization and Computer Graphics. 22(11). 2467–2479. 19 indexed citations
7.
Sarkis, Michel. (2012). Adaptive Reconstruction of Millimeter-Wave Radiometric Images. IEEE Transactions on Image Processing. 21(9). 4141–4151. 2 indexed citations
8.
Sarkis, Michel, et al.. (2012). Reconstruction of passive millimeter-wave images with Graph Cuts. 51. 2053–2056. 2 indexed citations
9.
Sarkis, Michel, et al.. (2011). Globally optimal reconstruction of millimeter-wave radiometric images with belief propagation. 2785–2788. 1 indexed citations
10.
Keimel, Christian, Klaus Diepold, & Michel Sarkis. (2010). Improving the visual quality of AVC/H.264 by combining it with content adaptive depth map compression. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 494–497. 2 indexed citations
11.
Sarkis, Michel, Klaus Diepold, & Alexander G. Schwing. (2009). Enhancing the motion estimate in bundle adjustment using projective Newton-type optimization on the manifold. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7251. 72510E–72510E. 1 indexed citations
12.
Sarkis, Michel & Klaus Diepold. (2009). Depth map compression via compressed sensing. 737–740. 25 indexed citations
13.
Sarkis, Michel & Klaus Diepold. (2008). Towards Real-time Stereo using Non-uniform Image Sampling and Sparse Dynamic Programming. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 indexed citations
14.
Sarkis, Michel, et al.. (2008). Efficient content adaptive mesh representation of an image using binary space partitions and singular value decomposition. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1109–1112. 1 indexed citations
15.
Sarkis, Michel & Klaus Diepold. (2008). Sparse stereo matching using belief propagation. 1780–1783. 15 indexed citations
16.
17.
Sarkis, Michel & Klaus Diepold. (2007). A fast solution to the approximation of 3D scattered point data from stereo images using triangular meshes. 235–241. 11 indexed citations
18.
19.
Sarkis, Michel, et al.. (2007). Partitioned moving least-squares modeling of an automatic zoom lens camera. 544–547. 1 indexed citations
20.
Sarkis, Michel, et al.. (2006). Automatic Model-Order Selection for PCA. 933–936. 2 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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