4 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
Jiangbo Yuan, An-Ti Chiang, Wen Tang +1
Large-scale product recognition is one of the major applications of computer vision and machine learning in the e-commerce domain. Since the number of products is typically much la…
Learning Tuple Compatibility for Conditional OutfitRecommendation
Xuewen Yang, Dongliang Xie, Xin Wang +3
Outfit recommendation requires the answers of some challenging outfit compatibility questions such as 'Which pair of boots and school bag go well with my jeans and sweater?'. It is…
Adversarial Code Learning for Image Generation
Jiangbo Yuan, Bing Wu, Wanying Ding +2
We introduce the "adversarial code learning" (ACL) module that improves overall image generation performance to several types of deep models. Instead of performing a posterior dist…
Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
Qing Ping, Bing Wu, Wanying Ding +1
In this paper, we introduce attribute-aware fashion-editing, a novel task, to the fashion domain. We re-define the overall objectives in AttGAN and propose the Fashion-AttGAN model…
Transformed Residual Quantization for Approximate Nearest Neighbor Search
Jiangbo Yuan, Xiuwen Liu
The success of product quantization (PQ) for fast nearest neighbor search depends on the exponentially reduced complexities of both storage and computation with respect to the code…