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20182022
most citedLearning Disentangled Feature Representation for Hybrid-distorted Image Restoration

8 citations · 13 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CV2018★ 1 cited

Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration

Zhibo Chen, Jianxin Lin, Tiankuang Zhou +1

Face restoration from low resolution and noise is important for applications of face analysis recognition. However, most existing face restoration models omit the multiple scale is…

cs.MM2018

Learned Scalable Image Compression with Bidirectional Context Disentanglement Network

Zhizheng Zhang, Zhibo Chen, Jianxin Lin +1

In this paper, we propose a learned scalable/progressive image compression scheme based on deep neural networks (DNN), named Bidirectional Context Disentanglement Network (BCD-Net)…

cs.CV2018

Unsupervised Single Image Deraining with Self-supervised Constraints

Xin Jin, Zhibo Chen, Jianxin Lin +2

Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and p…

cs.CR2018

Distribution Discrepancy Maximization for Image Privacy Preserving

Sen Liu, Jianxin Lin, Zhibo Chen

With the rapid increase in online photo sharing activities, image obfuscation algorithms become particularly important for protecting the sensitive information in the shared photos…

cs.CV2018

DeepIR: A Deep Semantics Driven Framework for Image Retargeting

Jianxin Lin, Tiankuang Zhou, Zhibo Chen

We present \emph{Deep Image Retargeting} (\emph{DeepIR}), a coarse-to-fine framework for content-aware image retargeting. Our framework first constructs the semantic structure of i…

cs.CV2018

Multi-Scale Face Restoration with Sequential Gating Ensemble Network

Jianxin Lin, Tiankuang Zhou, Zhibo Chen

Restoring face images from distortions is important in face recognition applications and is challenged by multiple scale issues, which is still not well-solved in research area. In…