6 citations · 13 across the 5 of their papers we have counts for
9 papers · 1 filter
SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
Mingkun Li, Peng Xu, Chun-Guang Li +1
In this paper, we address a highly challenging yet critical task: unsupervised long-term person re-identification with clothes change. Existing unsupervised person re-id methods ar…
Advances in Deep Concealed Scene Understanding
Deng-Ping Fan, Ge-Peng Ji, Peng Xu +3
Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive objects exhibiting camouflage. The current boom in terms of techniques and applications warran…
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…