valeo.ai's Projects
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
Curated list of awesome works on unsupervised object localization in 2D images.
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation
Boosting Few-Shot Visual Learning with Self-Supervision
Learning Representations by Predicting Bags of Visual Words
Webpage for the BRAVO workshop "RoBustness and Reliability of Autonomous Vehicle in the Open-world"
BRAVO Challenge Toolkit and Evaluation Code
Addressing Failure Prediction by Learning Model Confidence
Depth-aware Domain Adaptation in Semantic Segmentation
Official code of "DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion"
The library used in the Valeo Deep learning training.
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds
PyTorch code for Unsupervised Object Localization: Observing the Background to Discover Objects
Reliability in Semantic Segmentation: Can We Use Synthetic Data? (ECCV 2024)
📊 A simple command-line utility for querying and monitoring GPU status
LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation
Driving in CARLA using model-free deep reinforcement learning
Pytorch implementation of LOST unsupervised object discovery method
[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.
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation