Guillaume is an R&D Engineer on the Scientific Visualization team at Kitware Europe.
Guillaume holds a Ph.D. in Computer Graphics from LIRIS (INSA Lyon), where he focused on completing partial 3D surfaces using a combination of geometric and deep learning methods. His research, conducted in C++ and Python, has resulted in several publications, including two best paper honorable mentions.
Before pursuing his Ph.D., Guillaume gained experience as a research assistant in both computer graphics and medical imaging, working on projects ranging from geometry processing in texture space to deep learning-based denoising of optical tomography scans. He has worked at prestigious institutions such as NYU’s VIDA lab and has a solid academic background with a Master’s in Computer Science from Université Lyon 1 and an engineering degree from CPE Lyon, specializing in 3D technology, rendering, and medical imaging.
Guillaume brings deep expertise in computer graphics and image processing to our team, along with a passion for cutting-edge research and innovation.
Publications:
– G. Gisbert, R. Chaine, and D. Coeurjolly, “Neural inpainting of folded fabrics with interactive editing,” conference, Computers & Graphics, vol. 122, p. 103 997, 2024, issn: 0097-8493 (Best paper honorable mention). https://doi.org/10.1016/j.cag.2024.103997
– G. Gisbert, R. Chaine, and D. Coeurjolly, “Inpainting Holes in Folded Fabric Meshes,” conference, Computers & Graphics, vol. 114, pp. 201–209,May 2023, issn: 0097-8493 (Best paper honorable mention). https://hal.science/hal-04159974.
– G. Gisbert, N. Dey, H. Ishikawa, J. Schuman, J. Fishbaugh, and G. Gerig, “Self-supervised denoising via diffeomorphic template estimation: Application to optical coherence tomography,” conference, English (US), pp. 72–82, May 2020. DOI : 10.1007/978-3-030-63419-3_8.