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Found 7 papers, 3 papers with code
Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks
To realize consistent colorization, we propose here a semi-automatic colorization method based on generative adversarial networks (GAN); the method learns the painting style of a specific comic from small amount of training data.
Towards Fully Automated Manga Translation
We are the first to incorporate context information obtained from manga image.
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Diffusion is commonly used as a ranking or re-ranking method in retrieval tasks to achieve higher retrieval performance, and has attracted lots of attention in recent years.
Ranked #1 on
Image Retrieval
on Par6k
Reconfigurable Inverted Index
Owing to the linear layout, the data structure can be dynamically adjusted after new items are added, maintaining the fast speed of the system.
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation
The proposed method can retrieve and localize objects specified by a textual query from one million images in only 0. 5 seconds with high precision.
Region-Based Image Retrieval Revisited
Second, to help users specify spatial relationships among objects in an intuitive way, we propose recommendation techniques of spatial relationships.
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Although convolutional neural networks (CNNs) have achieved promising results in learning such concepts, it remains an open question as to how to effectively use CNNs for abnormal event detection, mainly due to the environment-dependent nature of the anomaly detection.
