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L. Chu

Shanghai Jiao Tong University

9 papers hereh-index 151k citations53 works total

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

author position
  • first author3
  • middle author3
  • last author2

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.SP3
  • stat.AP2
  • cs.CR1
affiliations
  • Shanghai Jiao Tong University
Homepage
same name
  • L. Chu — 4 papers, h 1
  • L. Chu — 4 papers, h 7
  • L. Chu — 1 paper, h 0
  • L. Chu — 1 paper, h 0
  • L. Chu — 1 paper, h 25
  • L. Chu — 1 paper, h 1

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

activity
20172022
most citedIndividual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams

38 citations · 62 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 2 cited

Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images

Siyan Li, Yue Xiao, Yuhang Zhang +2

It is a challenging problem to detect and recognize targets on complex large-scene Synthetic Aperture Radar (SAR) images. Recently developed deep learning algorithms can automatica…

cs.CV2018★ 20 cited

An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images

Zenan Ling, Robert C. Qiu, Zhijian Jin +4

The location of broken insulators in aerial images is a challenging task. This paper, focusing on the self-blast glass insulator, proposes a deep learning solution. We address the…

cs.CV2017★ 38 cited

Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams

Lei Chu, Robert Qiu, Haichun Liu +3

Recently, there has been a growing interest in monitoring brain activity for individual recognition system. So far these works are mainly focussing on single channel data or fragme…

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