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Chengli Xie

dblp:123/2900 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Image recognition and object detection · 67% Trustworthy machine learning · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection › object detection
instance detection
0.112012
Real-time multiple object instances detection · ACM Multimedia 2012
Machine learning › Trustworthy machine learning
pairwise classification
0.112012
Real-time multiple object instances detection · ACM Multimedia 2012
Computer vision › Image recognition and object detection
template matching
0.112012
Real-time multiple object instances detection · ACM Multimedia 2012

Methods — techniques the papers use, named apart from their topics

template matching · 0.1pairwise classification · 0.1
YearPublicationVenuePosition
2012 Real-time multiple object instances detection
abstract
In this paper, we present a novel, real-time multiple object instance detection system via template matching and pairwise classification. Instance detection aims to find and locate exactly the same object instances as specified. Our system is composed of two heterogeneous stages. The first stage adopts instance-specific detection to generate candidates. And the second stage makes use of a pairwise-based classifier across instance categories to test and verify these candidates with respect to templates. Experiments show the superiority of our approach.
Chengli Xie, Jinqiao Wang, Yifan Zhang 0001, Hanqing Lu
ACM Multimedia1