Éloi Zablocki | DeepAI

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∙ 06/15/2023

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

Motion forecasting plays a critical role in enabling robots to anticipat...

0 Yihong Xu, et al. ∙

∙ 12/15/2022

Unsupervised Object Localization: Observing the Background to Discover Objects

Recent advances in self-supervised visual representation learning have p...

0 Oriane Siméoni, et al. ∙

∙ 11/22/2022

OCTET: Object-aware Counterfactual Explanations

Nowadays, deep vision models are being widely deployed in safety-critica...

0 Mehdi Zemni, et al. ∙

∙ 06/27/2022

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

Recent works in autonomous driving have widely adopted the bird's-eye-vi...

0 Florent Bartoccioni, et al. ∙

∙ 11/17/2021

STEEX: Steering Counterfactual Explanations with Semantics

As deep learning models are increasingly used in safety-critical applica...

3 Paul Jacob, et al. ∙

∙ 09/16/2021

Raising context awareness in motion forecasting

Learning-based trajectory prediction models have encountered great succe...

0 Hedi Ben-Younes, et al. ∙

∙ 09/08/2021

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

Vision-based depth estimation is a key feature in autonomous systems, wh...

0 Florent Bartoccioni, et al. ∙

∙ 01/13/2021

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

This survey reviews explainability methods for vision-based self-driving...

25 Éloi Zablocki, et al. ∙

∙ 12/09/2020

Driving Behavior Explanation with Multi-level Fusion

In this era of active development of autonomous vehicles, it becomes cru...

0 Hedi Ben-Younes, et al. ∙

∙ 11/13/2020

Transductive Zero-Shot Learning using Cross-Modal CycleGAN

In Computer Vision, Zero-Shot Learning (ZSL) aims at classifying unseen ...

0 Patrick Bordes, et al. ∙

∙ 02/07/2020

Incorporating Visual Semantics into Sentence Representations within a Grounded Space

Language grounding is an active field aiming at enriching textual repres...

0 Patrick Bordes, et al. ∙

∙ 04/24/2019

Context-Aware Zero-Shot Learning for Object Recognition

Zero-Shot Learning (ZSL) aims at classifying unlabeled objects by levera...

0 Éloi Zablocki, et al. ∙

∙ 11/09/2017

Learning Multi-Modal Word Representation Grounded in Visual Context

Representing the semantics of words is a long-standing problem for the n...

0 Éloi Zablocki, et al. ∙

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