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Xiaoxiao LONG's Projects

adashare icon adashare

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

ar-depth icon ar-depth

Fast Depth Densification for Occlusion-Aware Augmented Reality

asndepth-1 icon asndepth-1

Depth estimation with adaptive surface normal constraint

astmt icon astmt

Attentive Single-tasking of Multiple Tasks

bridgedepthflow icon bridgedepthflow

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

casmvsnet_pl icon casmvsnet_pl

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

cgfinal-immerseinthecanvas icon cgfinal-immerseinthecanvas

Implement Fast Cost-Volume Filtering for Visual Correspondence and Beyond with Python, and apply oil-painting on it

cmvs-pmvs icon cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

cnn-slam icon cnn-slam

The combination of CNN and SLAM, aiming to achieve a better result of traditional geometric-based SLAM architecture.

conan icon conan

Conan.io - The open-source C/C++ package manager

consistent_depth icon consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

cvpr-2019-paper-statistics icon cvpr-2019-paper-statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

d2hc-rmvsnet icon d2hc-rmvsnet

The official repository of the paper "Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking" (ECCV2020 Spotlight)

d3feat icon d3feat

Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deepmatchvo icon deepmatchvo

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

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