Charles-Olivier Artizzu (COATZ)

COATZ

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Company:CNRS

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Charles-Olivier Artizzu's repositories

OmniFlowNet

OmniFlowNet

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OMNI-CONV

OMNI-CONV: Generalization of the Omnidirectional Distortion-Aware Convolutions

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semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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TSS50

TSS50

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agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

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BiFuse

[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

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cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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diffusers-ft

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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DPT

Dense Prediction Transformers

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Equirectangular_rotate

Rotate Equirectangular image with Eular angle

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flightmare

An Open Flexible Quadrotor Simulator

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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gmflow

[CVPR 2022 Oral] GMFlow: Learning Optical Flow via Global Matching

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gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

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MaskFlownet

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

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MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

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SeparableFlow

Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation

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ShapeConv

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)

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UAVDRL

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

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ugscnn

Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators

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