Francis Engelmann
Postdoctoral Scholar, Computer Science
Bio
Francis Engelmann is a PostDoc at Stanford university with Prof. Leonidas Guibas and Prof. Jeannette Bogh. Before that, he was a postdoctoral researcher at ETH Zurich collaborating with Prof. Marc Pollefeys and a visiting researcher at Google Zurich working with Federico Tombari. His current research focuses on computer vision and deep learning, particularly in the realm of 3D scene understanding. Prior to joining ETH Zurich, he obtained his Ph.D. from RWTH Aachen University under the guidance of Prof. Bastian Leibe, and interned at Google X in Munich, Google Research in Zurich, and Apple in California. Francis is a Fellow of the ETH AI Center, a member of the ELLIS Society, and a recipient of ETHZ Career Seed Award and SNSF Postdoc.Mobility fellowship.
Boards, Advisory Committees, Professional Organizations
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Member, ELLIS Society (2021 - Present)
Stanford Advisors
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Leonidas Guibas, Postdoctoral Faculty Sponsor
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Jeannette Bohg, Postdoctoral Research Mentor
All Publications
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SLAG: Scalable Language-Augmented Gaussian Splatting
IEEE ROBOTICS AND AUTOMATION LETTERS
2025; 10 (7): 6991-6998
View details for DOI 10.1109/LRA.2025.3573203
View details for Web of Science ID 001502469600008
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Search3D: Hierarchical Open-Vocabulary 3D Segmentation
IEEE ROBOTICS AND AUTOMATION LETTERS
2025; 10 (3): 2558-2565
View details for DOI 10.1109/LRA.2025.3534523
View details for Web of Science ID 001416158500013
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OpenCity3D: What do Vision-Language Models know about Urban Environments?
IEEE COMPUTER SOC. 2025: 5147-5155
View details for DOI 10.1109/WACV61041.2025.00503
View details for Web of Science ID 001521272600014
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SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
edited by Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G.
SPRINGER INTERNATIONAL PUBLISHING AG. 2025: 127-150
View details for DOI 10.1007/978-3-031-73242-3_8
View details for Web of Science ID 001352785300008
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ICGNet: A Unified Approach for Instance-Centric Grasping
IEEE. 2024: 4140-4146
View details for DOI 10.1109/ICRA57147.2024.10611725
View details for Web of Science ID 001294576203038
https://orcid.org/0000-0001-5745-2137