Search Results for author: Mickaël Chen

Found 12 papers, 10 papers with code

DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion

no code implementations4 Sep 2023 Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez

We present an innovative approach to 3D Human Pose Estimation (3D-HPE) by integrating cutting-edge diffusion models, which have revolutionized diverse fields, but are relatively unexplored in 3D-HPE.

3D Human Pose Estimation

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?

1 code implementation15 Jun 2023 Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez

In this complex system, advances in conventional forecasting methods have been made using curated data, i. e., with the assumption of perfect maps, detection, and tracking.

Motion Forecasting

Unifying GANs and Score-Based Diffusion as Generative Particle Models

1 code implementation NeurIPS 2023 Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy

Particle-based deep generative models, such as gradient flows and score-based diffusion models, have recently gained traction thanks to their striking performance.

OCTET: Object-aware Counterfactual Explanations

1 code implementation CVPR 2023 Mehdi Zemni, Mickaël Chen, Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez, Matthieu Cord

We conduct a set of experiments on counterfactual explanation benchmarks for driving scenes, and we show that our method can be adapted beyond classification, e. g., to explain semantic segmentation models.

Autonomous Driving counterfactual +3

STEEX: Steering Counterfactual Explanations with Semantics

1 code implementation17 Nov 2021 Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord

In this work, we address the problem of producing counterfactual explanations for high-quality images and complex scenes.

counterfactual Counterfactual Explanation

Raising context awareness in motion forecasting

1 code implementation16 Sep 2021 Hédi Ben-Younes, Éloi Zablocki, Mickaël Chen, Patrick Pérez, Matthieu Cord

Learning-based trajectory prediction models have encountered great success, with the promise of leveraging contextual information in addition to motion history.

Motion Forecasting Trajectory Prediction

A Neural Tangent Kernel Perspective of GANs

1 code implementation10 Jun 2021 Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari

We propose a novel theoretical framework of analysis for Generative Adversarial Networks (GANs).

Unsupervised Object Segmentation by Redrawing

1 code implementation NeurIPS 2019 Mickaël Chen, Thierry Artières, Ludovic Denoyer

Object segmentation is a crucial problem that is usually solved by using supervised learning approaches over very large datasets composed of both images and corresponding object masks.

Segmentation Semantic Segmentation +1

Multi-View Data Generation Without View Supervision

1 code implementation ICLR 2018 Mickaël Chen, Ludovic Denoyer, Thierry Artières

We assume that the distribution of the data is driven by two independent latent factors: the content, which represents the intrinsic features of an object, and the view, which stands for the settings of a particular observation of that object.

Multi-view Generative Adversarial Networks

no code implementations7 Nov 2016 Mickaël Chen, Ludovic Denoyer

Most related studies focus on the classification point of view and assume that all the views are available at any time.

Density Estimation General Classification

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