16 citations · 40 across the 12 of their papers we have counts for
4 papers · 1 filter
Deep Factorised Inverse-Sketching
Kaiyue Pang, Da Li, Jifei Song +3
Modelling human free-hand sketches has become topical recently, driven by practical applications such as fine-grained sketch based image retrieval (FG-SBIR). Sketches are clearly r…
Universal Perceptual Grouping
Ke Li, Kaiyue Pang, Jifei Song +4
In this work we aim to develop a universal sketch grouper. That is, a grouper that can be applied to sketches of any category in any domain to group constituent strokes/segments in…
Learning to Sketch with Shortcut Cycle Consistency
Jifei Song, Kaiyue Pang, Yi-Zhe Song +2
To see is to sketch -- free-hand sketching naturally builds ties between human and machine vision. In this paper, we present a novel approach for translating an object photo to a s…
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
Peng Xu, Yongye Huang, Tongtong Yuan +6
We propose a deep hashing framework for sketch retrieval that, for the first time, works on a multi-million scale human sketch dataset. Leveraging on this large dataset, we explore…