6 citations · 13 across the 5 of their papers we have counts for
7 papers
On Learning Semantic Representations for Million-Scale Free-Hand Sketches
Peng Xu, Yongye Huang, Tongtong Yuan +4
In this paper, we study learning semantic representations for million-scale free-hand sketches. This is highly challenging due to the domain-unique traits of sketches, e.g., divers…
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Peng Xu, Kun Liu, Tao Xiang +4
Existing sketch-analysis work studies sketches depicting static objects or scenes. In this work, we propose a novel cross-modal retrieval problem of fine-grained instance-level ske…
Deep Self-Supervised Representation Learning for Free-Hand Sketch
Peng Xu, Zeyu Song, Qiyue Yin +2
In this paper, we tackle for the first time, the problem of self-supervised representation learning for free-hand sketches. This importantly addresses a common problem faced by the…
Multi-Graph Transformer for Free-Hand Sketch Recognition
Peng Xu, Chaitanya K. Joshi, Xavier Bresson
Learning meaningful representations of free-hand sketches remains a challenging task given the signal sparsity and the high-level abstraction of sketches. Existing techniques have…
Deep Zero-Shot Learning for Scene Sketch
Yao Xie, Peng Xu, Zhanyu Ma
We introduce a novel problem of scene sketch zero-shot learning (SSZSL), which is a challenging task, since (i) different from photo, the gap between common semantic domain (e.g.,…
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…