Patrick Pérez

research

∙ 09/04/2023

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

We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...

0 Cédric Rommel, et al. ∙

research

∙ 07/18/2023

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments

Self-supervised learning can be used for mitigating the greedy needs of ...

0 Spyros Gidaris, et al. ∙

research

∙ 07/03/2023

Butterfly factorization by algorithmic identification of rank-one blocks

Many matrices associated with fast transforms posess a certain low-rank ...

0 Léon Zheng, et al. ∙

research

∙ 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. ∙

research

∙ 02/07/2023

Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints

Predicting multiple trajectories for road users is important for automat...

0 Laura Calem, et al. ∙

research

∙ 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. ∙

research

∙ 12/06/2022

PØDA: Prompt-driven Zero-shot Domain Adaptation

Domain adaptation has been vastly investigated in computer vision but st...

0 Mohammad Fahes, et al. ∙

research

∙ 11/22/2022

OCTET: Object-aware Counterfactual Explanations

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

0 Mehdi Zemni, et al. ∙

research

∙ 08/26/2022

Take One Gram of Neural Features, Get Enhanced Group Robustness

Predictive performance of machine learning models trained with empirical...

3 Simon Roburin, et al. ∙

research

∙ 07/28/2022

Self-supervised learning with rotation-invariant kernels

A major paradigm for learning image representations in a self-supervised...

6 Léon Zheng, et al. ∙

research

∙ 07/25/2022

Active Learning Strategies for Weakly-supervised Object Detection

Object detectors trained with weak annotations are affordable alternativ...

0 Huy V. Vo, et al. ∙

research

∙ 07/13/2022

Teachers in concordance for pseudo-labeling of 3D sequential data

Automatic pseudo-labeling is a powerful tool to tap into large amounts o...

0 Awet Haileslassie Gebrehiwot, et al. ∙

research

∙ 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. ∙

research

∙ 05/11/2022

HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance

Marker-less monocular 3D human motion capture (MoCap) with scene interac...

0 Soshi Shimada, et al. ∙

research

∙ 04/25/2022

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...

9 Antoine Saporta, et al. ∙

research

∙ 03/21/2022

Drive Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

This work investigates learning pixel-wise semantic image segmentation i...

16 Antonin Vobecky, et al. ∙

research

∙ 12/20/2021

Raw High-Definition Radar for Multi-Task Learning

With their robustness to adverse weather conditions and ability to measu...

3 Julien Rebut, et al. ∙

research

∙ 12/06/2021

CSG0: Continual Urban Scene Generation with Zero Forgetting

With the rapid advances in generative adversarial networks (GANs), the v...

0 Himalaya Jain, et al. ∙

research

∙ 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. ∙

research

∙ 09/29/2021

Localizing Objects with Self-Supervised Transformers and no Labels

Localizing objects in image collections without supervision can help to ...

5 Oriane Siméoni, et al. ∙

research

∙ 09/16/2021

Raising context awareness in motion forecasting

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

0 Hedi Ben-Younes, et al. ∙

research

∙ 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. ∙

research

∙ 08/16/2021

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

In this work, we address the task of unsupervised domain adaptation (UDA...

0 Antoine Saporta, et al. ∙

research

∙ 06/12/2021

Large-Scale Unsupervised Object Discovery

Existing approaches to unsupervised object discovery (UOD) do not scale ...

38 Huy V. Vo, et al. ∙

research

∙ 06/03/2021

Semantic Palette: Guiding Scene Generation with Class Proportions

Despite the recent progress of generative adversarial networks (GANs) at...

6 Guillaume Le Moing, et al. ∙

research

∙ 05/03/2021

Neural Monocular 3D Human Motion Capture with Physical Awareness

We present a new trainable system for physically plausible markerless 3D...

39 Soshi Shimada, et al. ∙

research

∙ 03/30/2021

Multi-View Radar Semantic Segmentation

Understanding the scene around the ego-vehicle is key to assisted and au...

0 Arthur Ouaknine, et al. ∙

research

∙ 03/25/2021

StyleLess layer: Improving robustness for real-world driving

Deep Neural Networks (DNNs) are a critical component for self-driving ve...

0 Julien Rebut, et al. ∙

research

∙ 01/18/2021

Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation

Domain adaptation is an important task to enable learning when labels ar...

11 Maximilian Jaritz, et al. ∙

research

∙ 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. ∙

research

∙ 12/21/2020

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning

Learning image representations without human supervision is an important...

3 Spyros Gidaris, et al. ∙

research

∙ 12/15/2020

Artificial Dummies for Urban Dataset Augmentation

Existing datasets for training pedestrian detectors in images suffer fro...

0 Antonin Vobecky, et al. ∙

research

∙ 12/11/2020

Confidence Estimation via Auxiliary Models

Reliably quantifying the confidence of deep neural classifiers is a chal...

7 Charles Corbière, et al. ∙

research

∙ 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. ∙

research

∙ 12/04/2020

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Pedestrians are arguably one of the most safety-critical road users to c...

0 Taylor Mordan, et al. ∙

research

∙ 09/20/2020

PIE: Portrait Image Embedding for Semantic Control

Editing of portrait images is a very popular and important research topi...

1 Ayush Tewari, et al. ∙

research

∙ 07/10/2020

VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users

Advanced perception and path planning are at the core for any self-drivi...

9 Adithya Ranga, et al. ∙

research

∙ 07/06/2020

Toward unsupervised, multi-object discovery in large-scale image collections

This paper addresses the problem of discovering the objects present in a...

0 Huy V. Vo, et al. ∙

research

∙ 06/23/2020

Spherical Perspective on Learning with Batch Norm

Batch Normalization (BN) is a prominent deep learning technique. In spit...

25 Simon Roburin, et al. ∙

research

∙ 06/15/2020

ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation

While fully-supervised deep learning yields good models for urban scene ...

20 Antoine Saporta, et al. ∙

research

∙ 05/09/2020

Photo style transfer with consistency losses

We address the problem of style transfer between two photos and propose ...

0 Xu Yao, et al. ∙

research

∙ 04/02/2020

BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation

In this work, we define and address "Boundless Unsupervised Domain Adapt...

5 Maxime Bucher, et al. ∙

research

∙ 03/31/2020

StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

StyleGAN generates photorealistic portrait images of faces with eyes, te...

0 Ayush Tewari, et al. ∙

research

∙ 02/27/2020

Learning Representations by Predicting Bags of Visual Words

Self-supervised representation learning targets to learn convnet-based i...

0 Spyros Gidaris, et al. ∙

research

∙ 02/02/2020

Deep Reinforcement Learning for Autonomous Driving: A Survey

With the development of deep representation learning, the domain of rein...

62 B Ravi Kiran, et al. ∙

research

∙ 01/23/2020

Scattering Features for Multimodal Gait Recognition

We consider the problem of identifying people on the basis of their walk...

0 Srdan Kitic, et al. ∙

research

∙ 12/03/2019

QUEST: Quantized embedding space for transferring knowledge

Knowledge distillation refers to the process of training a compact stude...

0 Himalaya Jain, et al. ∙

research

∙ 11/28/2019

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Unsupervised Domain Adaptation (UDA) is crucial to tackle the lack of an...

0 Maximilian Jaritz, et al. ∙

research

∙ 11/07/2019

This dataset does not exist: training models from generated images

Current generative networks are increasingly proficient in generating hi...

0 Victor Besnier, et al. ∙

research

∙ 06/12/2019

Boosting Few-Shot Visual Learning with Self-Supervision

Few-shot learning and self-supervised learning address different facets ...

0 Spyros Gidaris, et al. ∙

Patrick Pérez

Featured Co-authors