most citedSOLD2: Self-supervised Occlusion-aware Line Description and Detection

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20213 cited

SOLD2: Self-supervised Occlusion-aware Line Description and Detection

Rémi Pautrat, Juan-Ting Lin, Viktor Larsson +2

Compared to feature point detection and description, detecting and matching line segments offer additional challenges. Yet, line features represent a promising complement to points…

eess.IV2018

Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation

Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin +3

We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input. Given any pre-trained depth prediction model,…

cs.CV2018

Self-Supervised Learning of Depth and Camera Motion from 360° Videos

Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng +5

As 360° cameras become prevalent in many autonomous systems (e.g., self-driving cars and drones), efficient 360° perception becomes more and more important. We propose a novel self…

cs.CV2018

Liquid Pouring Monitoring via Rich Sensory Inputs

Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuang Wang +3

Humans have the amazing ability to perform very subtle manipulation task using a closed-loop control system with imprecise mechanics (i.e., our body parts) but rich sensory informa…

cs.CV2018

Omnidirectional CNN for Visual Place Recognition and Navigation

Tsun-Hsuan Wang, Hung-Jui Huang, Juan-Ting Lin +3

Visual place recognition is challenging, especially when only a few place exemplars are given. To mitigate the challenge, we consider place recognition method using omnidirectio…