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Tao Li

4 papers hereh-index 92.3k citations29 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1
same name
  • Tao Li — 30 papers, h 15
  • Tao Li — 25 papers, h 48
  • Tao Li — 22 papers, h 14
  • Tao Li — 22 papers, h 39
  • Tao Li — 21 papers, h 21
  • Tao Li — 20 papers, h 13

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 citedStructure-measure: A New Way to Evaluate Foreground Maps

109 citations · 145 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2018★ 7 cited

CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System

Yahui Wang, Shaojun Cai, Shi-Jie Li +4

We present a real-time feature-based SLAM (Simultaneous Localization and Mapping) system for fisheye cameras featured by a large field-of-view (FoV). Large FoV cameras are benefici…

cs.CV2018★ 13 cited

A Class-Incremental Learning Method Based on One Class Support Vector Machine

Chengfei Yao, Jie Zou, Yanan Luo +2

A method based on one class support vector machine (OCSVM) is proposed for class incremental learning. Several OCSVM models divide the input space into several parts. Then, the 1VS…

cs.CV2018★ 16 cited

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

Yanan Luo, Jie Zou, Chengfei Yao +2

With the development of deep learning, the performance of hyperspectral image (HSI) classification has been greatly improved in recent years. The shortage of training samples has b…

cs.CV2017★ 109 cited

Structure-measure: A New Way to Evaluate Foreground Maps

Deng-Ping Fan, Ming-Ming Cheng, Yun Liu +2

Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the filed of salient object detection where the purpose is to accu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.