Scholar
Martin Engilberge
Google Scholar ID: seMr6IMAAAAJ
EPFL
Citations & Impact
Citations
511
H-index
7
i10-index
7
Publications
16
Co-authors
0
Publications
Resume
Academic Achievements
- Open to work for a machine learning/computer vision position starting early 2025 (September 2024); two papers accepted at CVPR and CVPRW 2024 (CLOAF, Addressing the Elephant in the Room) in June 2024; two papers accepted at CVPR 2023 (CLIP the Gap, GeoShift) in June 2023; two papers accepted at WACV 2023 (MVAug, MVFlow) in October 2022; started a postdoc at EPFL CVLab in November 2020; successfully defended thesis in June 2020; scientific seminar on Visual-Semantic Embeddings at Interdigital in April 2020; Interdigital Best publication award for Beans in burger in September 2019; VideoMem paper accepted at ICCV 2019 in June 2019; Sodeep paper accepted at CVPR 2019 as oral in March 2019; Beans in burger paper accepted at CVPR 2018 in March 2018.
Research Experience
- Postdoctoral researcher at EPFL CVLAB since November 2020; worked at Technicolor/Interdigital during his PhD.
Education
- Postdoctoral researcher at EPFL CVLAB since November 2020; completed PhD in June 2020, advisor information not provided; previously obtained a master’s degree in Computer Science from EPFL.
Background
- Machine learning researcher focusing on vision and language. Currently a postdoctoral researcher at EPFL's CVLAB, Lausanne, Switzerland. Completed a PhD in Machine Learning while working at Technicolor/Interdigital and Sorbonne University. Holds a master’s degree in Computer Science from EPFL.
Miscellany
- Passionate about music, continuously improving guitar skills. Interested in DIY projects including building guitars, CNC machine construction and operation, 3D printing, and various electronic projects.