Search Results for author: Zhiqiang Tian

Found 10 papers, 3 papers with code

Human Action Recognition Based on Spatial-Temporal Attention

no code implementations ICLR 2019 Wensong Chan, Zhiqiang Tian, Xuguang Lan

Many state-of-the-art methods of recognizing human action are based on attention mechanism, which shows the importance of attention mechanism in action recognition.

Action Recognition

3DMNDT:3D multi-view registration method based on the normal distributions transform

no code implementations20 Mar 2021 Jihua Zhu, Di Wang, Jiaxi Mu, Huimin Lu, Zhiqiang Tian, Zhongyu Li

Under the NDT framework, this paper proposes a novel multi-view registration method, named 3D multi-view registration based on the normal distributions transform (3DMNDT), which integrates the K-means clustering and Lie algebra solver to achieve multi-view registration.

Effective multi-view registration of point sets based on student's t mixture model

no code implementations13 Dec 2020 Yanlin Ma, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li

What's more, the t-distribution takes the noise with heavy-tail into consideration, which makes the proposed method be inherently robust to noises and outliers.

Multi-view Subspace Clustering Networks with Local and Global Graph Information

1 code implementation19 Oct 2020 Qinghai Zheng, Jihua Zhu, Yuanyuan Ma, Zhongyu Li, Zhiqiang Tian

Furthermore, underlying graph information of multi-view data is always ignored in most existing multi-view subspace clustering methods.

Multi-view Subspace Clustering

REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds

1 code implementation28 Feb 2020 Binglei Zhao, Hanbo Zhang, Xuguang Lan, Haoyu Wang, Zhiqiang Tian, Nanning Zheng

Reliable robotic grasping in unstructured environments is a crucial but challenging task.

Robotics

Visual Space Optimization for Zero-shot Learning

no code implementations30 Jun 2019 Xinsheng Wang, Shanmin Pang, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li

The other is to optimize the visual feature structure in an intermediate embedding space, and in this method we successfully devise a multilayer perceptron framework based algorithm that is able to learn the common intermediate embedding space and meanwhile to make the visual data structure more distinctive.

Zero-Shot Learning

A Real-time Robotic Grasp Approach with Oriented Anchor Box

no code implementations8 Sep 2018 Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng

The main component of our approach is a grasp detection network with oriented anchor boxes as detection priors.

Robotics

ROI-based Robotic Grasp Detection for Object Overlapping Scenes

no code implementations30 Aug 2018 Hanbo Zhang, Xuguang Lan, Site Bai, Xinwen Zhou, Zhiqiang Tian, Nanning Zheng

Experimental results demonstrate that ROI-GD performs much better in object overlapping scenes and at the meantime, remains comparable with state-of-the-art grasp detection algorithms on Cornell Grasp Dataset and Jacquard Dataset.

Robotics

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