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Andrew Smith - IEEE Xplore Author Profile

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Author details

Andrew Smith

Publications

5

Citations

6

Publications by Year

20232024

Co-Authors:

Ryan DeLanyLiang DuRohin KalraYan LiMarian Hanashiro Rempola

Show All Co-Authors (6)

Andrew Smith

Affiliation

Electrical Engineering & Computer Science

The Pennsylvania State University

Pennsylvania, USA

Publication Topics

Control Plane,
Network Topology,
Packet Loss,
Graph Neural Networks,
Network Graph,
Neural Network,
Service Quality,
Traffic Flow,
Advanced Computer,
Aggregation Function,
Alternative Control,
Attack Vector

Publications

5

Citations

6

Publications by Year

20232024

Co-Authors:

Ryan DeLany
Liang Du
Rohin Kalra
Yan Li
Marian Hanashiro Rempola

Show All Co-Authors (6)

Author's Published Works

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Showing 1-4 of 4 results

Conferences (4)

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Single Year
Li Song(4)
Yanan Feng(4)
Lin Li(4)
Rong Xie(3)
Rongli Jia(2)
Migu Cultural Technology Co., Ltd., Shanghai, China(1)
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China(1)
MIGU Co.,Ltd, Shanghai, China(1)
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China(1)
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University(1)
2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)(2)
2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)(1)
2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)(1)
IEEE(4)
Paris, France(2)
Beijing, China(1)
Toronto, ON, Canada(1)
Convolutional Neural Network(3)
Mean Opinion Score(2)
Multilayer Perceptron(2)
Quality Assessment(2)
Quality Assessment Methods(2)

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No-reference Quality Assessment of Text-to-Image Generation

Haitao Huang;Rongli Jia;Yuhong Zhang;Rong Xie;Li Song;Lin Li;Yanan Feng

2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2024 | Conference Paper |

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This paper proposes a novel no-reference quality assessment method for text-to-image generation. Text-to-image refers to the process of generating image content from textual descriptions using deep learning models. Although advances in technology and improvements in models have made it possible to generate some high-quality images, some generated images still exhibit unique distortions that reflec...Show More

No-reference Quality Assessment of Text-to-Image Generation

Haitao Huang;Rongli Jia;Yuhong Zhang;Rong Xie;Li Song;Lin Li;Yanan Feng

2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2024 | Conference Paper |

Quality of Experience Assessment for Free-viewpoint Video

Rongli Jia;Yuhong Zhang;Jun Xu;Wenjun Zhang;Li Song;Lin Li;Yanan Feng

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

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The evaluation of free-viewpoint video (FVV) quality is essential for improving the quality of experience (QoE). Prior deep video quality assessment (VQA) approaches for FVV typically focused on either spatial or temporal distortions and lacked a comprehensive assessment considering the two aspects. In this paper, we provide an end-to-end no-reference video quality assessment (NRVQA) model for FVV...Show More

Quality of Experience Assessment for Free-viewpoint Video

Rongli Jia;Yuhong Zhang;Jun Xu;Wenjun Zhang;Li Song;Lin Li;Yanan Feng

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

TSGAN: A Two-Stream Generative Adversarial Network for Bit-Depth Expansion

Zhen Yang;Li Song;Rong Xie;Wenjun Zhang;Lin Li;Yanan Feng

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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The rapid development of display devices and the continuous improvement of visual quality requirements put urgent demands on high bit-depth (HBD) image, but most legacy data are stored and transmitted at low bit-depth (LBD). Bit-depth expansion (BDE) methods are designed to handle this dilemma by reconstructing HBD contents from LBD. But the expansion process often introduces artifacts such as fal...Show More

TSGAN: A Two-Stream Generative Adversarial Network for Bit-Depth Expansion

Zhen Yang;Li Song;Rong Xie;Wenjun Zhang;Lin Li;Yanan Feng

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2020 | Conference Paper |

Native Resolution Detection for 4K-UHD Videos

Zaixin Yang;Yu Dong;Li Song;Rong Xie;Lin Li;Yanan Feng

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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There are many resolution enhancement methods to produce 4K-UHD videos including interpolation and deep learning based Super-Resolution, but lack of details, aliasing and unnatural transition are still inevitable and affect viewer's immersive experience. Therefore, it is necessary to detect authenticity and native resolution of 4K-UHD videos. In this paper, we propose a new native resolution detec...Show More

Native Resolution Detection for 4K-UHD Videos

Zaixin Yang;Yu Dong;Li Song;Rong Xie;Lin Li;Yanan Feng

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2020 | Conference Paper |

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