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Ching-Hui Chen - IEEE Xplore Author Profile
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Ching-Hui Chen

Publications
10
Citations
208
Publications by Year
20112020
Co-Authors:
Show All Co-Authors (15)
Image of author Ching-Hui Chen

Ching-Hui Chen

Affiliation

Department of Electrical and Computer Engineering
University of Maryland at College Park
College Park, USA

Publication Topics

Biography

Ching-Hui Chen received the B.S. degree in electrical engineering and computer science undergraduate honors program and the M.S. degree in electronics engineering from National Chiao Tung University, Hsinchu, Taiwan, and the Ph.D. degree in electrical and computer engineering from the University of Maryland at College Park, College Park, MD, USA, in 2016. His research interests are in computer vision and pattern recognition, with primary focuses on face recognition, stereo vision, and camera networks.(Based on document published on 14 February 2020).
Publications
10
Citations
208
Publications by Year
20112020
Co-Authors:
Show All Co-Authors (15)
Author's Published Works

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An Automatic System for Unconstrained Video-Based Face Recognition

Jingxiao Zheng;Rajeev Ranjan;Ching-Hui Chen;Jun-Cheng Chen;Carlos D. Castillo;Rama Chellappa

IEEE Transactions on Biometrics, Behavior, and Identity Science
Year: 2020 | Volume: 2, Issue: 3 | Journal Article |
Cited by: Papers (40)
Although deep learning approaches have achieved performance surpassing humans for still image-based face recognition, unconstrained video-based face recognition is still a challenging task due to large volume of data to be processed and intra/inter-video variations on pose, illumination, occlusion, scene, blur, video quality, etc. In this work, we consider challenging scenarios for unconstrained v...Show More

An Automatic System for Unconstrained Video-Based Face Recognition

Jingxiao Zheng;Rajeev Ranjan;Ching-Hui Chen;Jun-Cheng Chen;Carlos D. Castillo;Rama Chellappa

Year: 2020 | Volume: 2, Issue: 3 | Journal Article |

Learning from Ambiguously Labeled Face Images

Ching-Hui Chen;Vishal M. Patel;Rama Chellappa

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2018 | Volume: 40, Issue: 7 | Journal Article |
Cited by: Papers (65)
Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo are not explicitly labeled by their names in the caption. We propose a Matrix Completion for Ambiguity Resolution (MCar) method for predicting the actual labels from ambiguously labeled images. This step is follo...Show More

Learning from Ambiguously Labeled Face Images

Ching-Hui Chen;Vishal M. Patel;Rama Chellappa

Year: 2018 | Volume: 40, Issue: 7 | Journal Article |

Video-Based Face Association and Identification

Ching-Hui Chen;Jun-Cheng Chen;Carlos D. Castillo;Rama Chellappa

2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
Year: 2017 | Conference Paper |
Cited by: Papers (6)
In this paper, we present a new video-based face identification algorithm, where the target (i.e., person of interest) in the probe video is only annotated once with a face bounding box in a frame and the video may consist of multiple shots. Most video face identification techniques assume that the video is of single shot, and thus the bounding boxes of the target face can be extracted by tracking...Show More

Video-Based Face Association and Identification

Ching-Hui Chen;Jun-Cheng Chen;Carlos D. Castillo;Rama Chellappa

Year: 2017 | Conference Paper |

Blur-Aware Disparity Estimation from Defocus Stereo Images

Ching-Hui Chen;Hui Zhou;Timo Ahonen

2015 IEEE International Conference on Computer Vision (ICCV)
Year: 2015 | Conference Paper |
Cited by: Papers (15)
Defocus blur usually causes performance degradation in establishing the visual correspondence between stereo images. We propose a blur-aware disparity estimation method that is robust to the mismatch of focus in stereo images. The relative blur resulting from the mismatch of focus between stereo images is approximated as the difference of the square diameters of the blur kernels. Based on the defo...Show More

Blur-Aware Disparity Estimation from Defocus Stereo Images

Ching-Hui Chen;Hui Zhou;Timo Ahonen

Year: 2015 | Conference Paper |

An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks

Jun-Cheng Chen;Rajeev Ranjan;Amit Kumar;Ching-Hui Chen;Vishal M. Patel;Rama Chellappa

2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
Year: 2015 | Conference Paper |
In this paper, we present an end-to-end system for the unconstrained face verification problem based on deep convolutional neural networks (DCNN). The end-to-end system consists of three modules for face detection, alignment and verification and is evaluated using the newly released IARPA Janus Benchmark A (IJB-A) dataset and its extended version Janus Challenging set 2 (JANUS CS2) dataset. The IJ...Show More

An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks

Jun-Cheng Chen;Rajeev Ranjan;Amit Kumar;Ching-Hui Chen;Vishal M. Patel;Rama Chellappa

Year: 2015 | Conference Paper |

Matrix completion for resolving label ambiguity

Ching-Hui Chen;Vishal M. Patel;Rama Chellappa

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2015 | Conference Paper |
In real applications, data is not always explicitly-labeled. For instance, label ambiguity exists when we associate two persons appearing in a news photo with two names provided in the caption. We propose a matrix completion-based method for predicting the actual labels from the ambiguously labeled instances, and a standard supervised classifier can learn from the disambiguated labels to classify ...Show More

Matrix completion for resolving label ambiguity

Ching-Hui Chen;Vishal M. Patel;Rama Chellappa

Year: 2015 | Conference Paper |

Camera Networks for Healthcare, Teleimmersion, and Surveillance

Ching-Hui Chen;Julien Favre;Gregorij Kurillo;Thomas P. Andriacchi;Ruzena Bajcsy;Rama Chellappa

Computer
Year: 2014 | Volume: 47, Issue: 5 | Magazine Article |
Cited by: Papers (8) | Patents (1)
Markerless technology is a game changer for motion-capture applications, such as the monitoring of patients outside the hospital, realistic face-to-face communication across continents, and observation across large spaces.Show More

Camera Networks for Healthcare, Teleimmersion, and Surveillance

Ching-Hui Chen;Julien Favre;Gregorij Kurillo;Thomas P. Andriacchi;Ruzena Bajcsy;Rama Chellappa

Year: 2014 | Volume: 47, Issue: 5 | Magazine Article |

Dual Diversity Space-Time Coding for Multimedia Broadcast/Multicast Service in MIMO Systems

Ching-Hui Chen;Wei-Ho Chung

IEEE Transactions on Communications
Year: 2012 | Volume: 60, Issue: 11 | Journal Article |
Cited by: Papers (5)
Multimedia Broadcast/Multicast Service (MBMS) is a bandwidth efficient broadcast scheme for multimedia communications. To support prioritized transmissions, the unequal error protection (UEP) for multi-resolution multimedia sources can be realized through MBMS. Nevertheless, the enhancement on the transmission fidelity in base layer typically sacrifices the fidelity of enhancement layers. Herein, ...Show More

Dual Diversity Space-Time Coding for Multimedia Broadcast/Multicast Service in MIMO Systems

Ching-Hui Chen;Wei-Ho Chung

Year: 2012 | Volume: 60, Issue: 11 | Journal Article |

Cross-layer design for video streaming with dynamic antenna selection

Ching-Hui Chen;Wei-Ho Chung;Yu-Chiang Frank Wang

2011 18th IEEE International Conference on Image Processing
Year: 2011 | Conference Paper |
Cited by: Papers (2)
Spatial multiplexing is an efficient transmission technique for video streaming in multiple-input multiple-output (MIMO) wireless communication links due to its capability to support the high transmit rate. Nevertheless, the video quality is sensitive to packet losses resulting from channel fading and co-interference between transmit antennas in spatial multiplexing systems. Antenna selection tech...Show More

Cross-layer design for video streaming with dynamic antenna selection

Ching-Hui Chen;Wei-Ho Chung;Yu-Chiang Frank Wang

Year: 2011 | Conference Paper |

Joint source-channel coding optimization with packet loss resilience for video transmission

Ching-Hui Chen;Wei-Ho Chung;Yu-Chiang Frank Wang

2011 18th IEEE International Conference on Image Processing
Year: 2011 | Conference Paper |
Cited by: Papers (2)
We propose a novel joint source-channel coding (JSCC) framework that jointly optimizes encoding modes of macroblocks and unequal error protection (UEP) of packets for error-resilient video transmission, and address the problem of source packet loss due to bit errors incurred in error-prone channels. In the proposed framework, we consider the source packet loss probability as a function of the enco...Show More

Joint source-channel coding optimization with packet loss resilience for video transmission

Ching-Hui Chen;Wei-Ho Chung;Yu-Chiang Frank Wang

Year: 2011 | Conference Paper |

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