Chen Chen

Publications
Influence

Semantic Image Inpainting with Deep Generative Models

Raymond A. Yeh, Chen Chen, Teck-Yian Lim, A. Schwing, M. Hasegawa-Johnson, M. Do
Computer Science
IEEE Conference on Computer Vision and Pattern…
26 July 2016

We propose a novel method for semantic image inpainting, which generates the missing content by conditioning on the available data. Expand

Learning to See in the Dark

Chen Chen, Qifeng Chen, J. Xu, V. Koltun
Computer Science
IEEE/CVF Conference on Computer Vision and…
4 May 2018

We propose a new image processing pipeline that addresses the challenges of extreme low-light photography via a data-driven approach, based on end-to-end training of a fully-convolutional network. Expand

Semantic Image Inpainting with Perceptual and Contextual Losses

Raymond A. Yeh, Chen Chen, Teck-Yian Lim, M. Hasegawa-Johnson, M. Do
Computer Science
ArXiv
26 July 2016

We propose a novel method for image inpainting based on a Deep Convolutional Generative Adversarial Network (DCGAN). Expand

Seeing Motion in the Dark

Chen Chen, Qifeng Chen, M. Do, V. Koltun
Computer Science
IEEE/CVF International Conference on Computer…
1 October 2019

We present deep processing of very dark raw videos: on the order of one lux of illuminance. Expand

Infrared and visible image fusion using total variation model

Y. Ma, Jun Chen, Chen Chen, Fan Fan, Jiayi Ma
Computer Science
Neurocomputing
19 August 2016

In this paper, we propose a novel fusion strategy for infrared (IR) and visible images based on total variation (TV) minimization. Expand

Image Restoration with Deep Generative Models

Raymond A. Yeh, Teck Yian Lim, Chen Chen, A. Schwing, M. Hasegawa-Johnson, M. Do
Computer Science
IEEE International Conference on Acoustics…
17 April 2018

We propose a unified framework for image restoration based on MAP and generative adversarial nets that can be applied to many image restoration problems. Expand

Privacy preserving growing neural gas over arbitrarily partitioned data

Junjie Shi, Chen Chen, Sheng Zhong
Computer Science
Neurocomputing
1 November 2014

We present a privacy preserving protocol for the multiparty training of growing neural gas while the data are arbitrarily partitioned over different parties. Expand

A Group Signature in the Composite Order Bilinear Groups: A Group Signature in the Composite Order Bilinear Groups

Fu-cai Zhou, J. Xu, L. Wang, Chen Chen, F. Li
Computer Science
16 November 2012

Learning with Forest Sparsity

Chen Chen, Y. Li, J. Huang
Computer Science
ArXiv
20 November 2012

In this paper, we investigate a new model called \emph{forest sparsity} for sparse learning and compressive sensing. Expand

NOMA for Energy-Efficient LiFi-Enabled Bidirectional IoT Communication

Chen Chen, Shu Fu, X. Jian, M. Liu, X. Deng, Zhi-Guo Ding
Computer Science, Engineering
IEEE Transactions on Communications
20 May 2020

In this paper, we consider a light fidelity (LiFi)-enabled bidirectional Internet of Things (IoT) communication system, where visible light and infrared light are used in the downlink and uplink, respectively. Expand

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