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 | 190 | 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 | 43 | 2018 |
STEEX: Steering Counterfactual Explanations with Semantics P Jacob, É Zablocki, H Ben-Younes, M Chen, P Pérez, M Cord ECCV 2022, 2022 | 40 | 2022 |
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 | 39 | 2019 |
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 | 35 | 2019 |
Driving behavior explanation with multi-level fusion H Ben-Younes, É Zablocki, P Pérez, M Cord Pattern Recognition 123, 108421, 2022 | 33 | 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 | 28 | 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 | 26 | 2022 |
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 | 20 | 2023 |
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 | 18 | 2023 |
Raising context awareness in motion forecasting H Ben-Younes, E Zablocki, M Chen, P Pérez, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
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 | 5 | 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 |
Unsupervised object localization in the era of self-supervised vits: A survey O Siméoni, É Zablocki, S Gidaris, G Puy, P Pérez arXiv preprint arXiv:2310.12904, 2023 | 3 | 2023 |
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 | 1 | 2024 |
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 | | 2024 |
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction L Feng, M Bahari, KMB Amor, É Zablocki, M Cord, A Alahi arXiv preprint arXiv:2403.15098, 2024 | | 2024 |
Transductive Zero-Shot Learning using Cross-Modal CycleGAN P Bordes, E Zablocki, B Piwowarski, P Gallinari arXiv preprint arXiv:2011.06850, 2020 | | 2020 |
Multimodal machine learning: complementarity of textual and visual contexts E Zablocki Sorbonne université, 2019 | | 2019 |
Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. P Bordes, E Zablocki, L Soulier, B Piwowarski, P Gallinari CORIA, 2019 | | 2019 |