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Joseph Hsieh

dblp:169/3232 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Computer graphics and multimedia
1 paper
Image and video processing · 50% Multimedia analysis and retrieval · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › document image analysis
font recognition		 0.212015
DeepFont: A System for Font Recognition and Similarity · ACM Multimedia 2015

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

convolutional neural network · 0.2
YearPublicationVenuePosition
2015 DeepFont: A System for Font Recognition and Similarity
abstract
We develop the DeepFont system, a large-scale learning-based solution for automatic font identification, organization and selection. In this proposed technical demonstration, we will give our audience a tour to the DeepFont system, with the focus on its impacts on real consumer products, including but not limited to: 1) a cloud-based iOS App for font recognition; 2) a web-based tool for font similarity evaluation and discovery.
Zhangyang Wang, Jianchao Yang, Hailin Jin, Jonathan Brandt, Eli Shechtman, Aseem Agarwala, Yuyan Song, Joseph Hsieh, Sarah Kong, Thomas S. Huang
 ACM Multimedia9