3 citations · 3 across the 1 of their papers we have counts for
5 papers
Your "Flamingo" is My "Bird": Fine-Grained, or Not
Dongliang Chang, Kaiyue Pang, Yixiao Zheng +3
Whether what you see in Figure 1 is a "flamingo" or a "bird", is the question we ask in this paper. While fine-grained visual classification (FGVC) strives to arrive at the former,…
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…