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
ALSO
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
Halton-MaskGIT
[ICLR2025] Halton Scheduler for Masked Generative Image Transformer
LOST
Pytorch implementation of LOST unsupervised object discovery method
POCO
[CVPR 2022] POCO: Point Convolution for Surface Reconstruction
RADIal
[CVPR 2022] RADIAl: Raw High-Definition Radar for Multi-Task Learning
SLidR
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
WoodScape
The repository containing tools and information about the WoodScape dataset.
xmuda
Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation
ZS3
Zero-Shot Semantic Segmentation
valeo.ai's Repositories
valeoai/QuEST
valeoai/LightConvPoint
valeoai/LearningByCheating
Driving in CARLA using model-free deep reinforcement learning
valeoai/ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
valeoai/FKAConv
valeoai/FLOT
FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds
valeoai/bownet
Learning Representations by Predicting Bags of Visual Words
valeoai/DADA
Depth-aware Domain Adaptation in Semantic Segmentation
valeoai/ZS3
Zero-Shot Semantic Segmentation
valeoai/BF3S
Boosting Few-Shot Visual Learning with Self-Supervision
valeoai/rainbow-iqn-apex
Distributed Rainbow-IQN for Atari
valeoai/tutorial-images
valeoai/dl_utils
The library used in the Valeo Deep learning training.
valeoai/nuscenes-devkit
The dev-kit of the nuScenes dataset.