Search Results for author:
Found 7 papers, 1 papers with code
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
In this paper, we introduce hierarchical deep CNNs (HD-CNNs) by embedding deep CNNs into a category hierarchy.
Efficient Media Retrieval from Non-Cooperative Queries
Text is ubiquitous in the artificial world and easily attainable when it comes to book title and author names.
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
In this paper, we introduce hierarchical deep CNNs (HD-CNNs) by embedding deep CNNs into a category hierarchy.
Ranked #174 on
Image Classification
on CIFAR-100
When relevance is not Enough: Promoting Visual Attractiveness for Fashion E-commerce
This study aims to address the effectiveness of types of image in showcasing fashion apparel in terms of its attractiveness, i. e. the ability to draw consumer's attention, interest, and in return their engagement.
Human-Computer Interaction K.4.4; H.2.8
Region-based Discriminative Feature Pooling for Scene Text Recognition
We present a new feature representation method for scene text recognition problem, particularly focusing on improving scene character recognition.
Geometric VLAD for Large Scale Image Search
We present a novel compact image descriptor for large scale image search.
Large Scale Visual Recommendations From Street Fashion Images
We describe a completely automated large scale visual recommendation system for fashion.
