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20202026
most citedREB: Reducing Biases in Representation for Industrial Anomaly Detection

34 citations · 55 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories

Junyao Hu, Zhongwei Cheng, Waikeung Wong +1

Virtual try-on (VTON) has advanced single-garment visualization, yet real-world fashion centers on full outfits with multiple garments, accessories, fine-grained categories, layeri…

cs.CV2025

FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model

Kaicheng Pang, Xingxing Zou, Waikeung Wong

Fashion styling and personalized recommendations are pivotal in modern retail, contributing substantial economic value in the fashion industry. With the advent of vision-language m…

cs.CV2023★ 34 cited

REB: Reducing Biases in Representation for Industrial Anomaly Detection

Shuai Lyu, Dongmei Mo, Waikeung Wong

Existing representation-based methods usually conduct industrial anomaly detection in two stages: obtain feature representations with a pre-trained model and perform distance measu…

cs.CV2023★ 3 cited

Effective Transfer of Pretrained Large Visual Model for Fabric Defect Segmentation via Specifc Knowledge Injection

Zhewei Chen, Wai Keung Wong, Zuofeng Zhong +2

Fabric defect segmentation is integral to textile quality control. Despite this, the scarcity of high-quality annotated data and the diversity of fabric defects present significant…

cs.CV2022★ 1 cited

Dress Well via Fashion Cognitive Learning

Kaicheng Pang, Xingxing Zou, Waikeung Wong

Fashion compatibility models enable online retailers to easily obtain a large number of outfit compositions with good quality. However, effective fashion recommendation demands pre…

cs.CV2020★ 8 cited

Regularizing Reasons for Outfit Evaluation with Gradient Penalty

Xingxing Zou, Zhizhong Li, Ke Bai +2

In this paper, we build an outfit evaluation system which provides feedbacks consisting of a judgment with a convincing explanation. The system is trained in a supervised manner wh…