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Yuantong Zhang - IEEE Xplore Author Profile

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Author details

Yuantong Zhang

Publications

11

Citations

63

Publications by Year

20222024

Co-Authors:

Weijie BaoQixuan CaiMinjie CaiYang CaoHua-En Chang

Show All Co-Authors (158)

Yuantong Zhang

Affiliation

School of Remote Sensing and Information Engineering

Wuhan University

Wuhan, China

Publication Topics

Motion Estimation,
Optical Flow,
Convolutional Layers,
Intermediate Frames,
Reference Frame,
Bitrate,
Convolutional Neural Network,
Deep Network,
Deformable Convolution,
Input Frames,
Motion Compensation,
Versatile Video Coding

Biography

Yuantong Zhang is currently pursuing the Ph.D. degree with the School of Remote Sensing and Information Engineering, Wuhan University.(Based on document published on 1 August 2023).

Publications

11

Citations

63

Publications by Year

20222024

Co-Authors:

Weijie Bao
Qixuan Cai
Minjie Cai
Yang Cao
Hua-En Chang

Show All Co-Authors (158)

Author's Published Works

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Showing 1-11 of 11 results

Conferences (8)

Journals (3)

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Single Year
Yuantong Zhang(11)
Zhenzhong Chen(10)
Huairui Wang(5)
Shan Liu(3)
Daiqin Yang(3)
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China(7)
Tencent America, Palo Alto, CA, USA(3)
Hubei Luojia Laboratory, Wuhan University, Wuhan, China(3)
Tencent, Shenzhen, China(2)
Architecture and Technology Innovation Department, Media Innovation Laboratory, Cloud BU, Shenzhen, Huawei, China(1)
2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)(3)
IEEE Transactions on Circuits and Systems for Video Technology(3)
2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)(2)
2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)(1)
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
IEEE(11)
Jeju, Korea, Republic of(3)
Tokyo, Japan(2)
Suzhou, China(1)
Vancouver, BC, Canada(1)
Washington, DC, USA(1)
Motion Estimation(5)
Optical Flow(5)
Convolutional Layers(4)
Intermediate Frames(4)
Reference Frame(4)

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Results

Deep Reference Frame for Versatile Video Coding with Structural Re-parameterization

Chengzhuo Gui;Yuantong Zhang;Weijie Bao;Zhenzhong Chen;Huairui Wang;Shan Liu

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2024 | Conference Paper |

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In video coding, inter-prediction leverages neigh-boring frames to reduce temporal redundancy. The quality of these reference frames is essential for effective inter-prediction. Although many neural network-based methods have been proposed to improve the quality of reference frames, there is still room for the performance and efficiency trade-off. In this paper, we propose an interpolation diverse...Show More

Deep Reference Frame for Versatile Video Coding with Structural Re-parameterization

Chengzhuo Gui;Yuantong Zhang;Weijie Bao;Zhenzhong Chen;Huairui Wang;Shan Liu

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2024 | Conference Paper |

Lightweight Arbitrary-Scale Super-Resolution of Remote Sensing Images via Super-Scale Feature

Yifei Long;Yuantong Zhang;Daiqin Yang;Zhenzhong Chen;Huairui Wang;Shan Liu

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2024 | Conference Paper |

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Remote sensing image (RSI) super-resolution (SR) demands lightweight and efficient methods due to required rapid response in practical applications. Integrating RSIs with different resolutions for diverse applications also requires arbitrary-scale SR, making fix-scaled SR scale inflexible. Therefore, a lightweight SR algorithm capable of arbitrary-scale is necessary for RSIs. To address the above ...Show More

Lightweight Arbitrary-Scale Super-Resolution of Remote Sensing Images via Super-Scale Feature

Yifei Long;Yuantong Zhang;Daiqin Yang;Zhenzhong Chen;Huairui Wang;Shan Liu

2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2024 | Conference Paper |

Active RIS-Assisted Integrated Sensing and Communication Systems: Joint Receive-Transmit Beamforming and Reflection Design

Yuantong Zhang;Junzhe Lin;Yifeng Zhao;Lianfen Huang;Zhibin Gao;Guozhen Xu

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

Year: 2024 | Conference Paper |

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Active reconfigurable intelligent surface (RIS) acts as an enhancement of signal transmitted by the base station (BS) to overcome the effects of multiplicative fading and provide communication services for users. In this paper, we investigate an active RIS-assisted integrated sensing and communication (ISAC) system in which the BS senses the target in the presence of interference and establishes c...Show More

Active RIS-Assisted Integrated Sensing and Communication Systems: Joint Receive-Transmit Beamforming and Reflection Design

Yuantong Zhang;Junzhe Lin;Yifeng Zhao;Lianfen Huang;Zhibin Gao;Guozhen Xu

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

Year: 2024 | Conference Paper |

Learning a Single Convolutional Layer Model for Low Light Image Enhancement

Yuantong Zhang;Baoxin Teng;Daiqin Yang;Zhenzhong Chen;Haichuan Ma;Gang Li;Wenpeng Ding

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2024 | Volume: 34, Issue: 7 | Journal Article |

Cited by: Papers (6)

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Low-light image enhancement (LLIE) aims to improve the illuminance of images due to insufficient light exposure. Recently, various lightweight learning-based LLIE methods have been proposed to handle the challenges of unfavorable prevailing low contrast, low brightness, etc. In this paper, we have streamlined the architecture of the network to the utmost degree. By utilizing the effective structur...Show More

Learning a Single Convolutional Layer Model for Low Light Image Enhancement

Yuantong Zhang;Baoxin Teng;Daiqin Yang;Zhenzhong Chen;Haichuan Ma;Gang Li;Wenpeng Ding

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2024 | Volume: 34, Issue: 7 | Journal Article |

Deep Reference Frame Generation Method for VVC Inter Prediction Enhancement

Jianghao Jia;Yuantong Zhang;Han Zhu;Zhenzhong Chen;Zizheng Liu;Xiaozhong Xu;Shan Liu

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2024 | Volume: 34, Issue: 5 | Journal Article |

Cited by: Papers (9)

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In video coding, inter prediction aims to reduce temporal redundancy by using previously encoded frames as references. The quality of reference frames is crucial to the performance of inter prediction. This paper presents a deep reference frame generation method to optimize the inter prediction in Versatile Video Coding (VVC). Specifically, reconstructed frames are sent to a well-designed frame ge...Show More

Deep Reference Frame Generation Method for VVC Inter Prediction Enhancement

Jianghao Jia;Yuantong Zhang;Han Zhu;Zhenzhong Chen;Zizheng Liu;Xiaozhong Xu;Shan Liu

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2024 | Volume: 34, Issue: 5 | Journal Article |

An Efficient Method for Real-Time Image Exposure Correction

Jie Yang;Yuantong Zhang;Daiqin Yang;Zhenzhong Chen

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2023 | Conference Paper |

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Exposure errors in images, including both underexposure and overexposure, significantly diminish images’ contrast and visual appeal. Existing deep learning-based exposure correction methods either require large networks or longer processing time for inference and are thus not applicable for embedded devices and real-time applications. To address these issues, a lightweight network is proposed in t...Show More

An Efficient Method for Real-Time Image Exposure Correction

Jie Yang;Yuantong Zhang;Daiqin Yang;Zhenzhong Chen

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2023 | Conference Paper |

Learned Image Compression with Enhanced Dynamic Spatial Aggregation and Asymmetric Entropy model

Yuantong Zhang;Nianxiang Fu;Guo Yu;Xiangdong Lv;Huairui Wang;Zhenzhong Chen

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2023 | Conference Paper |

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Learned image compression (LIC) has shown significant potential and better rate-distortion performance than traditional techniques. However, existing CNN-based approaches or window-based self-attention methods can only capture spatial information within fixed ranges. To tackle this limitation, we propose a novel method with dynamic spatial aggregation for transform coding. Our approach introduces ...Show More

Learned Image Compression with Enhanced Dynamic Spatial Aggregation and Asymmetric Entropy model

Yuantong Zhang;Nianxiang Fu;Guo Yu;Xiangdong Lv;Huairui Wang;Zhenzhong Chen

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2023 | Conference Paper |

Towards Lightweight Deep Reference Frame for Versatile Video Coding

Wenhui Meng;Yuantong Zhang;Jianghao Jia;Songtao Chao;Zhenzhong Chen

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Deep neural network (DNN)-based methods have demonstrated enormous potential for Versatile Video Coding (VVC) inter prediction enhancement. However, due to their typically high computational complexity, implementing them in practical applications can be challenging. In this paper, we propose a lightweight deep reference frame interpolation network to enhance bi-prediction with low complexity. Spec...Show More

Towards Lightweight Deep Reference Frame for Versatile Video Coding

Wenhui Meng;Yuantong Zhang;Jianghao Jia;Songtao Chao;Zhenzhong Chen

2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2023 | Conference Paper |

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li;Yulun Zhang;Radu Timofte;Luc Van Gool;Lei Yu;Youwei Li;Xinpeng Li;Ting Jiang;Qi Wu;Mingyan Han;Wenjie Lin;Chengzhi Jiang;Jinting Luo;Haoqiang Fan;Shuaicheng Liu;Yucong Wang;Minjie Cai;Mingxi Li;Yuhang Zhang;Xian-Jun Fan;Yankai Sheng;Yanyu Mao;Nihao Zhang;Qian Wang;Mingjun Zheng;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Zhongbao Yang;Yan Wang;Erlin Pan;Qixuan Cai;Xinan Dai;Magauiya Zhussip;Nikolay Kalyazin;Dmitry Vyal;Xueyi Zou;Youliang Yan;Heaseo Chung;Jin Zhang;Gaocheng Yu;Feng Zhang;Hongbin Wang;Bohao Liao;Zhibo Du;Yu-Liang Wu;Gege Shi;Long Peng;Yang Wang;Yang Cao;Zhengjun Zha;Zhi-Kai Huang;Yi-Chung Chen;Yuan-Chun Chiang;Hao-Hsiang Yang;Wei-Ting Chen;Hua-En Chang;I-Hsiang Chen;Chia-Hsuan Hsieh;Sy-Yen Kuo;Xin Liu;Qian Wang;Jiahao Pan;Hongyuan Yu;Weichen Yu;Lin Ge;Jiahua Dong;Yajun Zou;Zhuoyuan Wu;Binnan Han;Xiaolin Zhang;Heng Zhang;Xuanwu Yin;Kunlong Zuo;Weijian Deng;Hongjie Yuan;Zengtong Lu;Mingyu Ouyang;Wenzhuo Ma;Nian Liu;Hanyou Zheng;Yuantong Zhang;Junxi Zhang;Zhenzhong Chen;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Yurui Zhu;Xi Wang;Xueyang Fu;Zheng-Jun Zha;Daheng Yin;Mengyang Liu;Baijun Chen;Ao Li;Lei Luo;Kangjun Jin;Ce Zhu;Xiaoming Zhang;Chengxing Xie;Linze Li;Haiteng Meng;Tianlin Zhang;Tianrui Li;Xiaole Zhao;Zhao Zhang;Baiang Li;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Jiahuan Ren;Kang Hu;Jingpeng Shi;Zhijian Wu;Dingjiang Huang;Jinchen Zhu;Hui Li;Qianru Xv;Tianle Liu;Shizhuang Weng;Gang Wu;Junpeng Jiang;Xianming Liu;Junjun Jiang;Mingjian Zhang;Shizhuang Weng;Jing Hu;Chengxu Wu;Qinrui Fan;Chengming Feng;Ziwei Luo;Shu Hu;Siwei Lyu;Xi Wu;Xin Wang

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (36)

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This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge ...Show More

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li;Yulun Zhang;Radu Timofte;Luc Van Gool;Lei Yu;Youwei Li;Xinpeng Li;Ting Jiang;Qi Wu;Mingyan Han;Wenjie Lin;Chengzhi Jiang;Jinting Luo;Haoqiang Fan;Shuaicheng Liu;Yucong Wang;Minjie Cai;Mingxi Li;Yuhang Zhang;Xian-Jun Fan;Yankai Sheng;Yanyu Mao;Nihao Zhang;Qian Wang;Mingjun Zheng;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Zhongbao Yang;Yan Wang;Erlin Pan;Qixuan Cai;Xinan Dai;Magauiya Zhussip;Nikolay Kalyazin;Dmitry Vyal;Xueyi Zou;Youliang Yan;Heaseo Chung;Jin Zhang;Gaocheng Yu;Feng Zhang;Hongbin Wang;Bohao Liao;Zhibo Du;Yu-Liang Wu;Gege Shi;Long Peng;Yang Wang;Yang Cao;Zhengjun Zha;Zhi-Kai Huang;Yi-Chung Chen;Yuan-Chun Chiang;Hao-Hsiang Yang;Wei-Ting Chen;Hua-En Chang;I-Hsiang Chen;Chia-Hsuan Hsieh;Sy-Yen Kuo;Xin Liu;Qian Wang;Jiahao Pan;Hongyuan Yu;Weichen Yu;Lin Ge;Jiahua Dong;Yajun Zou;Zhuoyuan Wu;Binnan Han;Xiaolin Zhang;Heng Zhang;Xuanwu Yin;Kunlong Zuo;Weijian Deng;Hongjie Yuan;Zengtong Lu;Mingyu Ouyang;Wenzhuo Ma;Nian Liu;Hanyou Zheng;Yuantong Zhang;Junxi Zhang;Zhenzhong Chen;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Yurui Zhu;Xi Wang;Xueyang Fu;Zheng-Jun Zha;Daheng Yin;Mengyang Liu;Baijun Chen;Ao Li;Lei Luo;Kangjun Jin;Ce Zhu;Xiaoming Zhang;Chengxing Xie;Linze Li;Haiteng Meng;Tianlin Zhang;Tianrui Li;Xiaole Zhao;Zhao Zhang;Baiang Li;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Jiahuan Ren;Kang Hu;Jingpeng Shi;Zhijian Wu;Dingjiang Huang;Jinchen Zhu;Hui Li;Qianru Xv;Tianle Liu;Shizhuang Weng;Gang Wu;Junpeng Jiang;Xianming Liu;Junjun Jiang;Mingjian Zhang;Shizhuang Weng;Jing Hu;Chengxu Wu;Qinrui Fan;Chengming Feng;Ziwei Luo;Shu Hu;Siwei Lyu;Xi Wu;Xin Wang

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution

Yuantong Zhang;Huairui Wang;Han Zhu;Zhenzhong Chen

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023 | Volume: 33, Issue: 5 | Journal Article |

Cited by: Papers (11)

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In this paper, we consider the task of space-time video super-resolution (ST-VSR), which can increase the spatial resolution and frame rate for a given video simultaneously. Despite the remarkable progress of recent methods, most of them still suffer from high computational costs and inefficient long-range information usage. To alleviate these problems, we propose a Bidirectional Recurrence Networ...Show More

Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution

Yuantong Zhang;Huairui Wang;Han Zhu;Zhenzhong Chen

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023 | Volume: 33, Issue: 5 | Journal Article |

Controllable Space-Time Video Super-Resolution via Enhanced Bidirectional Flow Warping

Yuantong Zhang;Huairui Wang;Zhenzhong Chen

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2022 | Conference Paper |

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Space-time video super-resolution targets to increase a given video's frame rate and resolution simultaneously. Al-though existing approaches have made great progress, most of them still suffer from the inaccurate approximation of large motions or fail to generate temporal consistent motion trajectory. To alleviate these problems, we carefully review the characteris-tics of different optical flow ...Show More

Controllable Space-Time Video Super-Resolution via Enhanced Bidirectional Flow Warping

Yuantong Zhang;Huairui Wang;Zhenzhong Chen

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Year: 2022 | Conference Paper |

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