valeo.ai (valeoai)

valeo.ai

valeoai

Organization data from Github https://github.com/valeoai

We are an international team based in Paris, conducting AI research for Valeo automotive applications, in collaboration with world-class academics.

Location:Paris, France

Home Page:https://valeoai.github.io

GitHub:@valeoai

Twitter:@valeoai

valeo.ai's repositories

RADIal

[CVPR 2022] RADIAl: Raw High-Definition Radar for Multi-Task Learning

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Halton-MaskGIT

[ICLR2025] Halton Scheduler for Masked Generative Image Transformer

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SLidR

Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

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V-Max

Plug-and-play extension of the Waymax simulator.

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VideoActionModel

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling (official repository).

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BEVContrast

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation

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Awesome-Unsupervised-Object-Localization

Curated list of awesome works on unsupervised object localization in 2D images.

GaussRender

[ICCV 2025] GaussRender: Learning 3D Occupancy with Gaussian Rendering (official repository)

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ScaLR

PyTorch code and models for ScaLR image-to-lidar distillation method

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LaRa

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

SALUDA

Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".

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GenVal

Reliability in Semantic Segmentation: Can We Use Synthetic Data? (ECCV 2024)

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TTYD

Public repository for the ECCV 2024 paper "Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation".

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bravo_challenge

BRAVO Challenge Toolkit and Evaluation Code

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OCTET

[CVPR 2023] OCTET: Object-aware Counterfactual Explanations

ScenarioMax

Extension of ScenarioNet to support Waymax/V-Max and GPUDrive format

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PAFUSE

Official repository of PAFUSE

ReGentS

[ECCV Workshop W-CODA 2024] Official code for ReGentS

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Alpine

Official implementation of "Clustering is back: Reaching state-of-the-art LiDAR instance segmentation without training"

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MOCA

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

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MF_aWTA

[ICRA2025] This is official implementation for annealed Winner-Takes-All loss in <Annealed Winner-Takes-All for Motion Forecasting>.

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UNIT

UNIT: Unsupervised Online Instance Segmentation through Time - Official PyTorch implementation

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valeo4cast

The official implementation of valeo4cast, the winning solution to the "Unified Detection, Tracking and Forecasting" Argoverse 2 challenge at CVPR WAD 2024

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LLM_wrapper

[ICLR 2025] Official implementation of the paper "LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension"

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vavim-vavam

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling.

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GIFT

Official code for GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers

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bravo

Webpage for the BRAVO workshop "RoBustness and Reliability of Autonomous Vehicle in the Open-world"

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