Eloi Zablocki

According to our database, Eloi Zablocki authored at least 27 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.

Oriane Siméoni, Éloi Zablocki, Spyros Gidaris, Gilles Puy, Patrick Pérez

Int. J. Comput. Vis., February, 2025

2024

PPT: Pre-Training with Pseudo-Labeled Trajectories for Motion Forecasting.

Yihong Xu, Yuan Yin, Tuan-Hung Vu, Alexandre Boulch, Éloi Zablocki, Matthieu Cord

CoRR, 2024

GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers.

Éloi Zablocki, Valentin Gerard, Amaia Cardiel, Éric Gaussier, Matthieu Cord, Eduardo Valle

CoRR, 2024

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models.

Amaia Cardiel, Eloi Zablocki, Oriane Siméoni, Elias Ramzi, Matthieu Cord

CoRR, 2024

Annealed Winner-Takes-All for Motion Forecasting.

Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord

CoRR, 2024

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable.

Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord

CoRR, 2024

Valeo4Cast: A Modular Approach to End-to-End Forecasting.

Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickaël Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord

CoRR, 2024

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?

Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.

Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi

Proceedings of the Computer Vision - ECCV 2024, 2024

PointBeV: A Sparse Approach to BeV Predictions.

Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR.

Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari

Comput. Vis. Image Underst., January, 2023

Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving.

Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez

CoRR, 2023

OCTET: Object-aware Counterfactual Explanations.

Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Object Localization: Observing the Background to Discover Objects.

Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Driving behavior explanation with multi-level fusion.

Hedi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord

Pattern Recognit., 2022

Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges.

Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

Int. J. Comput. Vis., 2022

STEEX: Steering Counterfactual Explanations with Semantics.

Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord

Proceedings of the Computer Vision - ECCV 2022, 2022

Raising context awareness in motion forecasting.

Hedi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation.

Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari

Proceedings of the Conference on Robot Learning, 2022

2021

Explainability of vision-based autonomous driving systems: Review and challenges.

Éloi Zablocki, Hedi Ben-Younes, Patrick Pérez, Matthieu Cord

CoRR, 2021

2020

Transductive Zero-Shot Learning using Cross-Modal CycleGAN.

Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari

CoRR, 2020

2019

Multimodal machine learning : complementarity of textual and visual contexts. (Apprentissage automatique multimodal : complémentarité des contextes textuels et visuels).

Eloi Zablocki

PhD thesis, 2019

Context-Aware Zero-Shot Learning for Object Recognition.

Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the 36th International Conference on Machine Learning, 2019

Incorporating Visual Semantics into Sentence Representations within a Grounded Space.

Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle.

Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the COnférence en Recherche d'Informations et Applications, 2019

2018

Learning Multi-Modal Word Representation Grounded in Visual Context.

Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings.

Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari

Proceedings of the Working Notes of CLEF 2017, 2017