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Yonggang Qi
Researcher at Beijing University of Posts and Telecommunications
Publications - 31
Citations - 528
Yonggang Qi is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Image retrieval & Sketch. The author has an hindex of 6, co-authored 31 publications receiving 385 citations.
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Proceedings ArticleDOI
Sketch-based image retrieval via Siamese convolutional neural network
TL;DR: A novel convolutional neural network based on Siamese network for SBIR is proposed, which is to pull output feature vectors closer for input sketch-image pairs that are labeled as similar, and push them away if irrelevant.
Proceedings ArticleDOI
Making better use of edges via perceptual grouping
TL;DR: A perceptual grouping framework that organizes image edges into meaningful structures and demonstrates its usefulness on various computer vision tasks is proposed and shown how human-like sketches can be generated from edge groupings and consequently used to deliver state-of-the-art sketch-based image retrieval performance.
Proceedings ArticleDOI
Sketchsegnet: A Rnn Model for Labeling Sketch Strokes
TL;DR: This paper treats the problem of stroke-level sketch segmentation as a seqence-to-sequence generation problem, and a reccurent nueral networks (RNN)-based model SketchSegNet is presented to translate sequence of strokes into thier semantic part labels.
Journal ArticleDOI
Im2Sketch: Sketch generation by unconflicted perceptual grouping
TL;DR: This paper studies how multiple Gestalt rules can be encapsulated into a unified perceptual grouping framework for sketch generation and shows that by solving the problem of Gestalt confliction, more similar to human-made sketches can be generated.
Proceedings ArticleDOI
Sketching by perceptual grouping
TL;DR: A novel method that draws a sketch automatically from a single natural image using a unified contour grouping framework, where perceptual grouping is first used to form contour segment groups, followed by a group-based contour simplification method that generate the final sketches.