Pinned Repositories
hamlet
Source code for "To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation", ICCV 2023
3net
Repository for "Learning monocular depth estimation with unsupervised trinocular assumptions"
depthstillation
Demo code for paper "Learning optical flow from still images", CVPR 2021.
guided-stereo
CVPR 2019 - Guided Stereo Matching
kitti-utilities-python
KITTI utility functions
mono-uncertainty
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
pydnet
Repository for pydnet, IROS 2018
self-adapting-confidence
ECCV 2020: "Self-adapting confidence estimation for stereo"
sensor-guided-flow
Demo code for ICCV 2021 paper "Sensor-Guided Optical Flow"
OnDA
Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.
mattpoggi's Repositories
mattpoggi/mono-uncertainty
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
mattpoggi/pydnet
Repository for pydnet, IROS 2018
mattpoggi/depthstillation
Demo code for paper "Learning optical flow from still images", CVPR 2021.
mattpoggi/guided-stereo
CVPR 2019 - Guided Stereo Matching
mattpoggi/3net
Repository for "Learning monocular depth estimation with unsupervised trinocular assumptions"
mattpoggi/self-adapting-confidence
ECCV 2020: "Self-adapting confidence estimation for stereo"
mattpoggi/kitti-utilities-python
KITTI utility functions
mattpoggi/sensor-guided-flow
Demo code for ICCV 2021 paper "Sensor-Guided Optical Flow"
mattpoggi/SistemiDigitaliM20-21
mattpoggi/fedstereo
Source code for "Federated Online Adaptation for Deep Stereo", CVPR 2024
mattpoggi/Penta
Programming Language for music composition.
mattpoggi/CCNN-Tensorflow
Learning from scratch a confidence measure
mattpoggi/monoResMatch-Tensorflow
Tensorflow implementation of monocular Residual Matching (monoResMatch) network.
mattpoggi/lidar-confidence
Effective unsupervised framework aimed at explicitly addressing confidence estimation of LiDAR sparse depth maps
mattpoggi/RAFT-Stereo
mattpoggi/Reversing
Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"