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04/12/2023
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction
Direct optimization of interpolated features on multi-resolution voxel g...
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11/23/2022
ActiveRMAP: Radiance Field for Active Mapping And Planning
A high-quality 3D reconstruction of a scene from a collection of 2D imag...
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11/23/2022
Predicting Topological Maps for Visual Navigation in Unexplored Environments
We propose a robotic learning system for autonomous exploration and navi...
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11/14/2022
What Images are More Memorable to Machines?
This paper studies the problem of measuring and predicting how memorable...
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11/07/2022
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
Self-supervised monocular depth estimation has shown impressive results ...
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05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
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03/01/2021
DF-VO: What Should Be Learnt for Visual Odometry?
Multi-view geometry-based methods dominate the last few decades in monoc...
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06/04/2020
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
Single-view depth estimation using CNNs trained from unlabelled videos h...
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09/21/2019
Visual Odometry Revisited: What Should Be Learnt?
In this work we present a monocular visual odometry (VO) algorithm which...
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08/28/2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Recent work has shown that CNN-based depth and ego-motion estimators can...
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03/01/2019
Self-supervised Learning for Single View Depth and Surface Normal Estimation
In this work we present a self-supervised learning framework to simultan...
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03/11/2018
