output
20162023
most citedSCGAN: Saliency Map-guided Colorization with Generative Adversarial Network

80 citations

5 papers

cs.AI2023★ 6 cited

Source-Aware Embedding Training on Heterogeneous Information Networks

Tsai Hor Chan, Chi Ho Wong, Jiajun Shen +1

Heterogeneous information networks (HINs) have been extensively applied to real-world tasks, such as recommendation systems, social networks, and citation networks. While existing…

cs.CV2021★ 42 cited

VCGAN: Video Colorization with Hybrid Generative Adversarial Network

Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu +4

We propose a hybrid recurrent Video Colorization with Hybrid Generative Adversarial Network (VCGAN), an improved approach to video colorization using end-to-end learning. The VCGAN…

cs.CV2020★ 80 cited

SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network

Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung +2

Given a grayscale photograph, the colorization system estimates a visually plausible colorful image. Conventional methods often use semantics to colorize grayscale images. However,…

cs.CR2018

CCP: Conflicts Check Protocol for Bitcoin Block Security

Chen Yang, Haohong Wang

In this work, we present our early stage results on a Conflicts Check Protocol (CCP) that enables preventing potential attacks on bitcoin system. Based on the observation and disco…

cs.CV2016★ 65 cited

Robust and Low-Rank Representation for Fast Face Identification with Occlusions

Michael Iliadis, Haohong Wang, Rafael Molina +1

In this paper we propose an iterative method to address the face identification problem with block occlusions. Our approach utilizes a robust representation based on two characteri…