valeo.ai

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

Paris, France

Pinned Repositories

ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Language:Python377 13 3173
ALSO
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
Language:Python157 10 1019
BF3S
Boosting Few-Shot Visual Learning with Self-Supervision
Language:Python137 7 1222
ConfidNet
Addressing Failure Prediction by Learning Model Confidence
Language:Python161 7 1433
LOST
Pytorch implementation of LOST unsupervised object discovery method
Language:Python233 8 1525
POCO
Language:Python176 7 2018
SLidR
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
Language:Python171 10 3325
WoodScape
The repository containing tools and information about the WoodScape dataset.
Language:Python593 47 116120
xmuda
Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation
Language:Python190 15 2336
ZS3
Zero-Shot Semantic Segmentation
Language:Python180 14 1326

valeo.ai's Repositories

valeoai/WoodScape
The repository containing tools and information about the WoodScape dataset.
Language:Python593 47 116120
valeoai/LOST
Pytorch implementation of LOST unsupervised object discovery method
Language:Python233 8 1525
valeoai/xmuda
Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation
Language:Python190 15 2336
valeoai/POCO
Language:Python176 7 2018
valeoai/SLidR
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
Language:Python171 10 3325
valeoai/ConfidNet
Addressing Failure Prediction by Learning Model Confidence
Language:Python161 7 1433
valeoai/ALSO
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
Language:Python157 10 1019
valeoai/RADIal
Language:Jupyter Notebook140 9 6748
valeoai/Maskgit-pytorch
Language:Jupyter Notebook100 6 912
valeoai/rangevit
Language:Python71 12 105
valeoai/FOUND
PyTorch code for Unsupervised Object Localization: Observing the Background to Discover Objects
Language:Python60 5 311
valeoai/Awesome-Unsupervised-Object-Localization
Curated list of awesome works on unsupervised object localization in 2D images.
59 5 11
valeoai/PointBeV
Official implementation of PointBeV: A Sparse Approach to BeV Predictions
Language:Python58 4 36
valeoai/BEVContrast
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation
Language:Python57 6 15
valeoai/LaRa
LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation
Language:Python38 6 34
valeoai/SALUDA
SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation
Language:Python38 7 30
valeoai/WaffleIron
Language:Python36 4 95
valeoai/obsnet
Language:Python32 3 22
valeoai/xmuda_journal
[TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
Language:Python28 4 13
valeoai/ScaLR
PyTorch code and models for ScaLR image-to-lidar distillation method
Language:Python23 8 02
valeoai/STEEX
STEEX: Steering Counterfactual Explanations with Semantics
Language:Python18 4 22
valeoai/OCTET
Language:Python17 3 12
valeoai/sfrik
Official code for "Self-supervised learning with rotation-invariant kernels"
Language:Python12 4 0
valeoai/diffhpe
Official code of "DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion"
Language:Python11 5 0
valeoai/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:Python5 6 20
valeoai/MOCA
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
2 4 0
valeoai/bravo_challenge
BRAVO Challenge Toolkit and Evaluation Code
Language:Python1
valeoai/blog
Language:HTML0 13 00
valeoai/bravo
Webpage for the BRAVO workshop "RoBustness and Reliability of Autonomous Vehicle in the Open-world"
Language:HTML
valeoai/valeoai.github.io
Language:HTML