I'm excited to be giving a keynote at 3DOR 2023 on
Efficient, general-purpose feature learning for 3D shape comparison.
I'm happy to be part of three accepted at ICCV 2023:
SATR: Zero-Shot Semantic Segmentation of 3D Shapes with Ahmed Abdelreheem, Ivan Skorokhodov, and Peter Wonka (from KAUST);
Spatially and Spectrally Consistent Deep Functional Maps with Mingze Sun, Shiwei Mao, Puhua Jiang, and Ruqi Huang (from TBSI); and
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams with Nissim Maruani, Roman Klokov, Pierre Alliez, and Mathieu Desbrun
I'm happy and honored to have become a fellow of ELLIS, the European Laboratory for Learning and Intelligent Systems, bringing together top AI researchers in Europe.
Our work on Functional Maps has received the ACM SIGGRAPH 2023 Test-of-Time award.
Etienne Corman, who did his PhD in our group in 2013 - 2016 just won the SMI Young Researcher Award. Congratulations to Etienne!
ReVISOR: ResUNets with visibility and intensity for structured outlier removal with Maxime Kirgo, and collaborators from EDF R&D Guillaume Terrasse and Guillaume Thibault was accepted at the ISPRS Journal of Photogrammetry and Remote Sensing. This paper presents a 3D deep learning-based method for structured outlier detection, especially arising from reflections in laser scans of large 3D scenes.