LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. - Eloi Zablocki; Patrick Bordes; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (CLEF (Working Notes), 2017)

Learning Multi-Modal Word Representation Grounded in Visual Context. - Eloi Zablocki; Benjamin Piwowarski; Laure Soulier; Patrick Gallinari (AAAI, 2018)

Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. - Patrick Bordes; Eloi Zablocki; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (CORIA, 2019)

Incorporating Visual Semantics into Sentence Representations within a Grounded Space. - Patrick Bordes; Eloi Zablocki; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (EMNLP/IJCNLP (1), 2019)

Context-Aware Zero-Shot Learning for Object Recognition. - Eloi Zablocki; Patrick Bordes; Laure Soulier; Benjamin Piwowarski; Patrick Gallinari (ICML, 2019)

Multimodal machine learning : complementarity of textual and visual contexts. (Apprentissage automatique multimodal : complémentarité des contextes textuels et visuels). - Eloi Zablocki (2019)

Transductive Zero-Shot Learning using Cross-Modal CycleGAN. - Patrick Bordes; Eloi Zablocki; Benjamin Piwowarski; Patrick Gallinari (CoRR, 2020)

Explainability of vision-based autonomous driving systems: Review and challenges. - Éloi Zablocki; Hedi Ben-Younes; Patrick Pérez; Matthieu Cord (CoRR, 2021)

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 (CoRL, 2022)

Raising context awareness in motion forecasting. - Hedi Ben-Younes; Éloi Zablocki; Mickaël Chen; Patrick Pérez; Matthieu Cord (CVPR Workshops, 2022)

STEEX: Steering Counterfactual Explanations with Semantics. - Paul Jacob; Éloi Zablocki; Hédi Ben-Younes; Mickaël Chen; Patrick Pérez; Matthieu Cord (ECCV (12), 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)

Driving behavior explanation with multi-level fusion. - Hedi Ben-Younes; Éloi Zablocki; Patrick Pérez; Matthieu Cord (Pattern Recognit., 2022)

Unsupervised Object Localization: Observing the Background to Discover Objects. - Oriane Siméoni; Chloé Sekkat; Gilles Puy; Antonín Vobecký; Éloi Zablocki; Patrick Pérez (CVPR, 2023)

OCTET: Object-aware Counterfactual Explanations. - Mehdi Zemni; Mickaël Chen; Éloi Zablocki; Hédi Ben-Younes; Patrick Pérez; Matthieu Cord (CVPR, 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)

LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. - Florent Bartoccioni; Éloi Zablocki; Patrick Pérez; Matthieu Cord; Karteek Alahari (Comput. Vis. Image Underst., 2023)

PointBeV: A Sparse Approach to BeV Predictions. - Loïck Chambon; Éloi Zablocki; Mickaël Chen; Florent Bartoccioni; Patrick Pérez; Matthieu Cord (CVPR, 2024)

UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction. - Lan Feng; Mohammadhossein Bahari; Kaouther Messaoud Ben Amor; Éloi Zablocki; Matthieu Cord; Alexandre Alahi (ECCV (12), 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; et al. (ECCV Workshops (7), 2024)

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable. - Yuan Yin; Pegah Khayatan; Éloi Zablocki; Alexandre Boulch; Matthieu Cord (ECCV Workshops (7), 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 (ICRA, 2024)

Annealed Winner-Takes-All for Motion Forecasting. - Yihong Xu; Victor Letzelter; Mickaël Chen; Éloi Zablocki; Matthieu Cord (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)

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)

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)

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension. - Amaia Cardiel; Eloi Zablocki; Elias Ramzi; Oriane Siméoni; Matthieu Cord (ICLR, 2025)

GaussRender: Learning 3D Occupancy with Gaussian Rendering. - Loïck Chambon; Eloi Zablocki; Alexandre Boulch; Mickaël Chen; Matthieu Cord (CoRR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 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., 2025)