10 citations · 20 across the 6 of their papers we have counts for
6 papers
Guidance and Teaching Network for Video Salient Object Detection
Yingxia Jiao, Xiao Wang, Yu-Cheng Chou +4
Owing to the difficulties of mining spatial-temporal cues, the existing approaches for video salient object detection (VSOD) are limited in understanding complex and noisy scenario…
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
Ge Gao, Mikko Lauri, Xiaolin Hu +2
It is often desired to train 6D pose estimation systems on synthetic data because manual annotation is expensive. However, due to the large domain gap between the synthetic and rea…
6D Object Pose Regression via Supervised Learning on Point Clouds
Ge Gao, Mikko Lauri, Yulong Wang +3
This paper addresses the task of estimating the 6 degrees of freedom pose of a known 3D object from depth information represented by a point cloud. Deep features learned by convolu…
Attention based visual analysis for fast grasp planning with multi-fingered robotic hand
Zhen Deng, Ge Gao, Simone Frintrop +1
We present an attention based visual analysis framework to compute grasp-relevant information in order to guide grasp planning using a multi-fingered robotic hand. Our approach use…
Occlusion Resistant Object Rotation Regression from Point Cloud Segments
Ge Gao, Mikko Lauri, Jianwei Zhang +1
Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation. Most existing methods for rotation estimation use intermediate repr…
Saliency-guided Adaptive Seeding for Supervoxel Segmentation
Ge Gao, Mikko Lauri, Jianwei Zhang +1
We propose a new saliency-guided method for generating supervoxels in 3D space. Rather than using an evenly distributed spatial seeding procedure, our method uses visual saliency t…