Search Results for author:
Found 16 papers, 3 papers with code
FontRNN: Generating Large-scale Chinese Fonts via Recurrent Neural Network
Despite the recent impressive development of deep neural networks, using deep learning based methods to generate large-scale Chinese fonts is still a rather challenging task due to the huge number of intricate Chinese glyphs, e. g., the official standard Chinese charset GB18030-2000 consists of 27, 533 Chinese characters.
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation
Point cloud analysis has drawn broader attentions due to its increasing demands in various fields.
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Extensive experiments on both English and Chinese artistic glyph image datasets demonstrate the superiority of our model in generating high-quality stylized glyph images against other state-of-the-art methods.
Ranked #1 on
Glyph Image Generation
on English Glyph
Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs
In this paper, we propose a novel methodology for boosting scene character recognition by learning canonical forms of glyphs, based on the fact that characters appearing in scene images are all derived from their corresponding canonical forms.
A Common Framework for Interactive Texture Transfer
In this paper, we present a general-purpose solution to interactive texture transfer problems that better preserves both local structure and visual richness.
Content Selection for Real-time Sports News Construction from Commentary Texts
We study the task of constructing sports news report automatically from live commentary and focus on content selection.
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection
This validates the superiority of our IKNDA against the state of the art in novelty detection for large-scale data.
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
Abstractive summarization is the ultimate goal of document summarization research, but previously it is less investigated due to the immaturity of text generation techniques.
Ranked #12 on
Text Summarization
on CNN / Daily Mail (Anonymized)
Learning to Mine Chinese Coordinate Terms Using the Web
Coordinate relation refers to the relation between instances of a concept and the relation between the directly hyponyms of a concept.
Representation Learning for Aspect Category Detection in Online Reviews
Afterwards, we propose to generate deeper and hybrid features through neural networks stacked on the word vectors.
