| Explainability of deep vision-based autonomous driving systems: Review and challenges É Zablocki, H Ben-Younes, P Pérez, M Cord International Journal of Computer Vision 130 (10), 2425-2452, 2022 | 260* | 2022 |
| Unsupervised Object Localization: Observing the Background to Discover Objects O Siméoni, C Sekkat, G Puy, A Vobecky, É Zablocki, P Pérez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 57 | 2023 |
| STEEX: steering counterfactual explanations with semantics P Jacob, É Zablocki, H Ben-Younes, M Chen, P Pérez, M Cord European Conference on Computer Vision, 387-403, 2022 | 55 | 2022 |
| Driving behavior explanation with multi-level fusion H Ben-Younes, É Zablocki, P Pérez, M Cord Pattern Recognition 123, 108421, 2022 | 44 | 2022 |
| Learning Multi-Modal Word Representation Grounded in Visual Context E Zablocki, P Benjamin, L Soulier, P Gallinari Proceedings of the Thirty-Two AAAI Conference on Artificial Intelligence …, 2018 | 44 | 2018 |
| Context-aware zero-shot learning for object recognition E Zablocki, P Bordes, L Soulier, B Piwowarski, P Gallinari International conference on machine learning, 7292-7303, 2019 | 42 | 2019 |
| Octet: Object-aware counterfactual explanations M Zemni, M Chen, É Zablocki, H Ben-Younes, P Pérez, M Cord Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 36 | 2023 |
| LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation F Bartoccioni, É Zablocki, A Bursuc, P Pérez, M Cord, K Alahari Conference on Robot Learning, 2022 | 35 | 2022 |
| Incorporating Visual Semantics into Sentence Representations within a Grounded Space P Bordes, E Zablocki, L Soulier, B Piwowarski, P Gallinari Conference on Empirical Methods in Natural Language Processing (EMNLP), 696--707, 2019 | 29 | 2019 |
| LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR F Bartoccioni, É Zablocki, P Pérez, M Cord, K Alahari Computer Vision and Image Understanding 227, 103601, 2023 | 25 | 2023 |
| UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction L Feng, M Bahari, KMB Amor, É Zablocki, M Cord, A Alahi European Conference on Computer Vision, 106–123, 2024 | 17 | 2024 |
| Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? Y Xu, L Chambon, E Zablocki, M Chen, A Alahi, M Cord, P Perez International Conference on Robotics and Automation (ICRA), 2024 | 15 | 2024 |
| Pointbev: A sparse approach for bev predictions L Chambon, E Zablocki, M Chen, F Bartoccioni, P Pérez, M Cord Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 11 | 2024 |
| Raising context awareness in motion forecasting H Ben-Younes, É Zablocki, M Chen, P Pérez, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 11 | 2022 |
| Unsupervised object localization in the era of self-supervised vits: A survey O Siméoni, É Zablocki, S Gidaris, G Puy, P Pérez International Journal of Computer Vision, 1-28, 2024 | 6 | 2024 |
| Lip6@ clef2017: Multi-modal spatial role labeling using word embeddings working notes É Zablocki, P Bordes, L Soulier, B Piwowarski, P Gallinari CLEF 2017, 2017 | 4* | 2017 |
| Valeo4Cast: A Modular Approach to End-to-End Forecasting Y Xu, É Zablocki, A Boulch, G Puy, M Chen, F Bartoccioni, N Samet, ... arXiv preprint arXiv:2406.08113, 2024 | 1 | 2024 |
| VaViM and VaVAM: Autonomous Driving through Video Generative Modeling F Bartoccioni, E Ramzi, V Besnier, S Venkataramanan, TH Vu, Y Xu, ... arXiv preprint arXiv:2502.15672, 2025 | | 2025 |
| GaussRender: Learning 3D Occupancy with Gaussian Rendering L Chambon, E Zablocki, A Boulch, M Chen, M Cord arXiv preprint arXiv:2502.05040, 2025 | | 2025 |
| PPT: Pre-Training with Pseudo-Labeled Trajectories for Motion Forecasting Y Xu, Y Yin, TH Vu, A Boulch, É Zablocki, M Cord arXiv preprint arXiv:2412.06491, 2024 | | 2024 |
Matthieu CordProfessor Sorbonne University / Scientific Director valeo.aiПотвърден имейл адрес: sorbonne-universite.fr