Eloi Zablocki

Orcid: 0000-0003-2757-2036

According to our database1, Eloi Zablocki authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.
CoRR, 2024

2023
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR.
Comput. Vis. Image Underst., January, 2023

PointBeV: A Sparse Approach to BeV Predictions.
CoRR, 2023

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.
CoRR, 2023

Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving.
CoRR, 2023

OCTET: Object-aware Counterfactual Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Object Localization: Observing the Background to Discover Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Driving behavior explanation with multi-level fusion.
Pattern Recognit., 2022

Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges.
Int. J. Comput. Vis., 2022

STEEX: Steering Counterfactual Explanations with Semantics.
Proceedings of the Computer Vision - ECCV 2022, 2022

Raising context awareness in motion forecasting.
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.
Proceedings of the Conference on Robot Learning, 2022

2021
Explainability of vision-based autonomous driving systems: Review and challenges.
CoRR, 2021

2020
Transductive Zero-Shot Learning using Cross-Modal CycleGAN.
CoRR, 2020

2019
Multimodal machine learning : complementarity of textual and visual contexts. (Apprentissage automatique multimodal : complémentarité des contextes textuels et visuels).
PhD thesis, 2019

Context-Aware Zero-Shot Learning for Object Recognition.
Proceedings of the 36th International Conference on Machine Learning, 2019

Incorporating Visual Semantics into Sentence Representations within a Grounded Space.
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.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2019

2018
Learning Multi-Modal Word Representation Grounded in Visual Context.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings.
Proceedings of the Working Notes of CLEF 2017, 2017


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