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Zhiqiang Tian

6 papers hereh-index 182.1k citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV1
  • cs.LG1
same name
  • Zhiqiang Tian — 7 papers, h 12
  • Zhiqiang Tian — 5 papers, h 7
  • Zhiqiang Tian — 4 papers, h 5
  • Zhiqiang Tian — 4 papers, h 4
  • Zhiqiang Tian — 2 papers, h 2
  • Zhiqiang Tian — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedConstrained Bilinear Factorization Multi-view Subspace Clustering

59 citations · 91 across the 5 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2018★ 1 cited

A Real-time Robotic Grasp Approach with Oriented Anchor Box

Hanbo Zhang, Xinwen Zhou, Xuguang Lan +3

Grasp is an essential skill for robots to interact with humans and the environment. In this paper, we build a vision-based, robust and real-time robotic grasp approach with fully c…

cs.RO2018

ROI-based Robotic Grasp Detection for Object Overlapping Scenes

Hanbo Zhang, Xuguang Lan, Site Bai +3

Grasp detection with consideration of the affiliations between grasps and their owner in object overlapping scenes is a necessary and challenging task for the practical use of the…

cs.RO2018★ 22 cited

Fully Convolutional Grasp Detection Network with Oriented Anchor Box

Xinwen Zhou, Xuguang Lan, Hanbo Zhang +3

In this paper, we present a real-time approach to predict multiple grasping poses for a parallel-plate robotic gripper using RGB images. A model with oriented anchor box mechanism…

cs.RO2018★ 2 cited

Visual Manipulation Relationship Network

Hanbo Zhang, Xuguang Lan, Xinwen Zhou +3

Robotic grasping detection is one of the most important fields in robotics, in which great progress has been made recent years with the help of convolutional neural network (CNN).…

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