25 citations · 39 across the 3 of their papers we have counts for
4 papers
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce
Wonyoung Shin, Jonghun Park, Taekang Woo +3
Understanding vision and language representations of product content is vital for search and recommendation applications in e-commerce. As a backbone for online shopping platforms…
SBNet: Segmentation-based Network for Natural Language-based Vehicle Search
Sangrok Lee, Taekang Woo, Sang Hun Lee
Natural language-based vehicle retrieval is a task to find a target vehicle within a given image based on a natural language description as a query. This technology can be applied…
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification
Sangrok Lee, Taekang Woo, Sang Hun Lee
Vehicle re-identification helps in distinguishing between images of the same and other vehicles. It is a challenging process because of significant intra-instance differences betwe…
Wide-Residual-Inception Networks for Real-time Object Detection
Youngwan Lee, Byeonghak Yim, Huien Kim +4
Since convolutional neural network(CNN)models emerged,several tasks in computer vision have actively deployed CNN models for feature extraction. However,the conventional CNN models…