Scholar
Elias Ramzi
Google Scholar ID: mbfTD_UAAAAJ
Reasearch scientist, valeo.ai
Deep learning
Computer Vision
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
130
H-index
6
i10-index
4
Publications
11
Co-authors
5
list available
Contact
Email
elias.ramzi@valeo.com
CV
Open ↗
GitHub
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LinkedIn
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Publications
4 items
DRIV-EX: Counterfactual Explanations for Driving LLMs
2026
Cited
0
Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
2025
Cited
0
VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
2025
Cited
0
LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
2024
Cited
0
Resume (English only)
Academic Achievements
Publications:
- Robust and Decomposable Average Precision for Image Retrieval (NeurIPS 2021)
- Hierarchical Average Precision Training for Pertinent Image Retrieval (ECCV 2022)
- Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection (ICML 2023)
- GalLoP: Learning Global and Local Prompts for Vision-Language Models (ECCV 2024)
- Optimization of Rank Losses for Image Retrieval (TPAMI 2025)
- VaViM and VaVAM: Autonomous Driving through Video Generative Modeling (ArXiv Preprint 2025)
- LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension (ICLR 2025)
Research Experience
Working as a Research Scientist at valeo.ai; involved in multiple projects such as VaViM & VaVAM, LLM-wrapper, etc.
Education
PhD in Computer Vision from Cnam, supervised by Nicolas Thome (Sorbonne Université), Nicolas Audebert (IGN), and Clément Rambour (Cnam).
Background
Research Interests: Deep learning and computer vision. Professional Field: AI Research Scientist.
Miscellany
Personal interests not mentioned
Co-authors
5 total
Nicolas Thome
Professor of Computer Science, Sorbonne University, France
Clément Rambour
ISIR - The Institute of Intelligent Systems and Robotics
Nicolas Audebert
Researcher - Univ. Gustave Eiffel, ENSG, IGN, LASTIG
Marc Lafon
Cnam Paris
Andre Araujo
Google DeepMind
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