valeo.ai

valeoai

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

Paris, France

https://valeoai.github.io/blog/

valeo.ai's repositories

WoodScape

The repository containing tools and information about the WoodScape dataset.

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LOST

Pytorch implementation of LOST unsupervised object discovery method

Language:PythonNOASSERTION233 8 15

xmuda

Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation

Language:PythonNOASSERTION190 15 23

POCO

Language:PythonNOASSERTION179 7 20

SLidR

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

Language:PythonNOASSERTION173 10 34

ConfidNet

Addressing Failure Prediction by Learning Model Confidence

Language:PythonNOASSERTION162 7 14

ALSO

ALSO: Automotive Lidar Self-supervision by Occupancy estimation

Language:PythonNOASSERTION161 10 10

RADIal

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Maskgit-pytorch

Language:Jupyter NotebookMIT123 7 13

rangevit

Language:PythonApache-2.074 12 10

PointBeV

Official implementation of PointBeV: A Sparse Approach to BeV Predictions

Language:PythonMIT64 5 6

Awesome-Unsupervised-Object-Localization

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

Apache-2.061 5 1

BEVContrast

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

Language:PythonNOASSERTION61 6 1

FOUND

PyTorch code for Unsupervised Object Localization: Observing the Background to Discover Objects

Language:PythonApache-2.061 5 3

WaffleIron

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LaRa

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

Language:Python38 6 3

SALUDA

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation

Language:PythonNOASSERTION38 7 3

ScaLR

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

Language:PythonNOASSERTION28 8 1

xmuda_journal

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

Language:PythonNOASSERTION28 4 1

STEEX

STEEX: Steering Counterfactual Explanations with Semantics

Language:PythonNOASSERTION18 4 2

OCTET

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diffhpe

Official code of "DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion"

Language:PythonNOASSERTION13 50

sfrik

Official code for "Self-supervised learning with rotation-invariant kernels"

Language:PythonNOASSERTION12 40

bravo_challenge

BRAVO Challenge Toolkit and Evaluation Code

Language:PythonNOASSERTION800

MFEval

[ICRA2024] Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? This is the official implementation of the evaluation protocol proposed in this work for motion forecasting models with real-world perception inputs.

Language:PythonNOASSERTION8 6 2

Occfeat

MIT8 60

MOCA

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

2 40

blog

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bravo

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

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valeoai.github.io

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