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20162026
most citedWho Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection

Linchun Wu, Qin Zou, Jiwen Lu +1

3D anomaly detection in point clouds is critical for high-precision industrial manufacturing. Reconstruction-based methods have laid a strong foundation by detecting 3D anomalies t…

cs.CV2025

Double Helix Diffusion for Cross-Domain Anomaly Image Generation

Linchun Wu, Qin Zou, Xianbiao Qi +3

Visual anomaly inspection is critical in manufacturing, yet hampered by the scarcity of real anomaly samples for training robust detectors. Synthetic data generation presents a via…

cs.CV2018★ 1 cited

Dating Ancient Paintings of Mogao Grottoes Using Deeply Learnt Visual Codes

Qingquan Li, Qin Zou, De Ma +2

Cultural heritage is the asset of all the peoples of the world. The preservation and inheritance of cultural heritage is conducive to the progress of human civilization. In northwe…

cs.CV2018

Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image Retrieval

Zheng Zhang, Qin Zou, Yuewei Lin +2

Hash coding has been widely used in the approximate nearest neighbor search for large-scale image retrieval. Recently, many deep hashing methods have been proposed and shown largel…

cs.CV2016★ 4 cited

Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study

Qin Zou, Zheng Zhang, Qian Wang +3

It is well known that clothing fashion is a distinctive and often habitual trend in the style in which a person dresses. Clothing fashions are usually expressed with visual stimuli…