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Found 6 papers, 3 papers with code
SOLD2: Self-supervised Occlusion-aware Line Description and Detection
We thus hereby introduce the first joint detection and description of line segments in a single deep network.
Depth Estimation from Monocular Images and Sparse Radar Data
We give a comprehensive study of the fusion between RGB images and Radar measurements from different aspects and proposed a working solution based on the observations.
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation
We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input.
Self-Supervised Learning of Depth and Camera Motion from 360° Videos
We propose a novel self-supervised learning approach for predicting the omnidirectional depth and camera motion from a 360{\deg} video.
Liquid Pouring Monitoring via Rich Sensory Inputs
In the closed-loop system, the ability to monitor the state of the task via rich sensory information is important but often less studied.
Omnidirectional CNN for Visual Place Recognition and Navigation
Given a visual input, the task of the O-CNN is not to retrieve the matched place exemplar, but to retrieve the closest place exemplar and estimate the relative distance between the input and the closest place.
