Scholar
Guillaume Le Moing
Google Scholar ID: rrOyAscAAAAJ
Google DeepMind
Citations & Impact
Citations
249
H-index
7
i10-index
6
Publications
12
Co-authors
12
list available
Resume (English only)
Academic Achievements
- Paper 'Dense Optical Tracking: Connecting the Dots' accepted to CVPR'24 (highlight, top 3% of submissions); paper 'WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction' accepted to ICCV'23; paper 'CCVS: Context-aware Controllable Video Synthesis' accepted to NeurIPS'21; paper 'Semantic Palette: Guiding Scene Generation with Class Proportions' accepted to CVPR'21; paper 'Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization' accepted to ICASSP'21.
Research Experience
- Interned in the AI department of IBM Research Japan from January to June 2021; interned at valeo.ai from May to October 2020, working with Tuan-Hung Vu, Himalaya Jain, Matthieu Cord, and Patrick Perez; started PhD at Willow in November 2020.
Education
- Completed PhD in computer vision in 2024 at Willow, a joint research lab between the Department of Computer Science of École normale supérieure (ENS) and Inria Paris, under the supervision of Cordelia Schmid and Jean Ponce; holds a MSc degree in Executive Engineering from École des Mines de Paris and a MSc degree in Artificial Intelligence, Systems and Data from PSL Research University.
Background
- Research interests include computer vision, deep learning, particularly generative modeling and motion understanding. Previously a Research Scientist at Google DeepMind in Paris.
