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Vox-fusion: Dense tracking and map** with voxel-based neural implicit representation
In this work, we present a dense tracking and map** system named Vox-Fusion, which
seamlessly fuses neural implicit representations with traditional volumetric fusion methods …
seamlessly fuses neural implicit representations with traditional volumetric fusion methods …
Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction
Despite learning based methods showing promising results in single view depth estimation
and visual odometry, most existing approaches treat the tasks in a supervised manner …
and visual odometry, most existing approaches treat the tasks in a supervised manner …
Defeat-net: General monocular depth via simultaneous unsupervised representation learning
In the current monocular depth research, the dominant approach is to employ unsupervised
training on large datasets, driven by warped photometric consistency. Such approaches lack …
training on large datasets, driven by warped photometric consistency. Such approaches lack …
Deconstructing self-supervised monocular reconstruction: The design decisions that matter
J Spencer, C Russell, S Hadfield, R Bowden - ar** with convolutional neural networks
We present a system for dense keyframe-based camera tracking and depth map estimation
that is entirely learned. For tracking, we estimate small pose increments between the current …
that is entirely learned. For tracking, we estimate small pose increments between the current …
Learning meshes for dense visual SLAM
Estimating motion and surrounding geometry of a moving camera remains a challenging
inference problem. From an information theoretic point of view, estimates should get better …
inference problem. From an information theoretic point of view, estimates should get better …
Camera relocalization by exploiting multi-view constraints for scene coordinates regression
M Cai, H Zhan… - Proceedings of the …, 2019 - openaccess.thecvf.com
We propose a method for learning a scene coordinate regression model to perform accurate
camera relocalization in a known environment from a single RGB image. Our method …
camera relocalization in a known environment from a single RGB image. Our method …
Semi-dense stereo matching using dual CNNs
A robust solution for semi-dense stereo matching is presented. It utilizes two CNN models for
computing stereo matching cost and performing confidence-based filtering, respectively …
computing stereo matching cost and performing confidence-based filtering, respectively …
Combining deep learning and RGBD SLAM for monocular indoor autonomous flight
We present a system that uses deep learning and visual SLAM for autonomous flight in
indoor environments. In this spirit, we use a state-of-the-art CNN architecture to obtain depth …
indoor environments. In this spirit, we use a state-of-the-art CNN architecture to obtain depth …
A Study on the Effects of Binaural Listening Materials on Second Language Listening Comprehension
S Ji, K Li - 2018 International Joint Conference on Information …, 2018 - ieeexplore.ieee.org
The purpose of this study was to investigate the effects of the listening material, which was
field recorded and made for mono and binaural listening materials based on Ambisonics …
field recorded and made for mono and binaural listening materials based on Ambisonics …