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05/16/2023
Contrastive Label Enhancement
Label distribution learning (LDL) is a new machine learning paradigm for...
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05/05/2023
HD2Reg: Hierarchical Descriptors and Detectors for Point Cloud Registration
Feature Descriptors and Detectors are two main components of feature-bas...
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03/20/2021
3DMNDT:3D multi-view registration method based on the normal distributions transform
The normal distributions transform (NDT) is an effective paradigm for th...
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12/13/2020
Effective multi-view registration of point sets based on student's t mixture model
Recently, Expectation-maximization (EM) algorithm has been introduced as...
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02/28/2020
REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds
Learning a robust representation of robotic grasping from point clouds i...
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06/30/2019
Visual Space Optimization for Zero-shot Learning
Zero-shot learning, which aims to recognize new categories that are not ...
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06/19/2019
Constrained Bilinear Factorization Multi-view Subspace Clustering
Multi-view clustering is an important and fundamental problem. Many mult...
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09/08/2018
A Real-time Robotic Grasp Approach with Oriented Anchor Box
Grasp is an essential skill for robots to interact with humans and the e...
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03/06/2018
Fully Convolutional Grasp Detection Network with Oriented Anchor Box
In this paper, we present a real-time approach to predict multiple grasp...
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02/24/2018