Search Results for author: Bozhi Liu

Found 9 papers, 1 papers with code

HDRfeat: A Feature-Rich Network for High Dynamic Range Image Reconstruction

no code implementations8 Nov 2022 Lingkai Zhu, Fei Zhou, Bozhi Liu, Orcun Göksel

A major challenge for high dynamic range (HDR) image reconstruction from multi-exposed low dynamic range (LDR) images, especially with dynamic scenes, is the extraction and merging of relevant contextual features in order to suppress any ghosting and blurring artifacts from moving objects.

HDR Reconstruction Image Reconstruction +1

VHS to HDTV Video Translation using Multi-task Adversarial Learning

no code implementations7 Jan 2021 Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu, Fei Zhou, Guoping Qiu

In this paper, we focus on the problem of translating VHS video to HDTV video and have developed a solution based on a novel unsupervised multi-task adversarial learning model.

Generative Adversarial Network Super-Resolution +1

Towards Disentangling Latent Space for Unsupervised Semantic Face Editing

1 code implementation5 Nov 2020 Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu

In this paper, we present a new technique termed Structure-Texture Independent Architecture with Weight Decomposition and Orthogonal Regularization (STIA-WO) to disentangle the latent space for unsupervised semantic face editing.

Attribute Image Generation

Class-Aware Domain Adaptation for Improving Adversarial Robustness

no code implementations10 May 2020 Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu

To improve the adversarial robustness of neural networks, adversarial training has been proposed to train networks by injecting adversarial examples into the training data.

Adversarial Attack Adversarial Defense +2

Learning Deep Image Priors for Blind Image Denoising

no code implementations4 Jun 2019 Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu

In this paper, we propose an effective image denoising method by learning two image priors from the perspective of domain alignment.

Image Denoising SSIM

Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network

no code implementations15 Feb 2019 Rui Cao, Qian Zhang, Jiasong Zhu, Qing Li, Qingquan Li, Bozhi Liu, Guoping Qiu

With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data.

Image Retrieval Metric Learning +1

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