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Publication search results
found 1,139 matches
- 2024
- Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Anil K. Saini, Nuzhat Fatema, Hasmat Malik, Asyraf Afthanorhan, Mohammad Asef Hossaini:
A Novel Zero-Shot Real World Spatio-Temporal Super-Resolution (ZS-RW-STSR) Model for Video Super-Resolution. IEEE Access 12: 123969-123984 (2024) - Matina Ch. Zerva, Lisimachos P. Kondi:
Video Super-Resolution Using Plug-and-Play Priors. IEEE Access 12: 11963-11971 (2024) - Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Lijun Wang, Chaoli Wang, Dongmei Jiang:
A single frame and multi-frame joint network for 360-degree panorama video super-resolution. Eng. Appl. Artif. Intell. 134: 108601 (2024) - Chia-Hung Yeh, Hsin-Fu Yang, Yu-Yang Lin, Wan-Jen Huang, Feng-Hsu Tsai, Li-Wei Kang:
Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement. Eng. Appl. Artif. Intell. 131: 107789 (2024) - Jun-Seok Yun, Min Hyuk Kim, Hyung-Il Kim, Seok Bong Yoo:
Kernel adaptive memory network for blind video super-resolution. Expert Syst. Appl. 238(Part E): 122252 (2024) - Liming Ge, Wei Bao, Xinyi Sheng, Dong Yuan, Bing Bing Zhou, Zhiyong Wang:
Joint Video Denoising and Super-Resolution Network for IoT Cameras. IEEE Internet Things J. 11(17): 28526-28538 (2024) - Jiaxin Zeng, Xiaobo Zhou, Keqiu Li:
Toward High-Quality Low-Latency 360° Video Streaming With Edge-Client Collaborative Caching and Super-Resolution. IEEE Internet Things J. 11(17): 29020-29034 (2024) - Laigan Luo, Benshun Yi, Zhongyuan Wang, Zheng He, Chao Zhu:
Bidirectional scale-aware upsampling network for arbitrary-scale video super-resolution. Image Vis. Comput. 148: 105116 (2024) - Baili Chai, Jinyu Chen, Zhenxiao Luo, Zelong Wang, Miao Hu, Yipeng Zhou, Di Wu:
SDSR: Optimizing Metaverse Video Streaming via Saliency-Driven Dynamic Super-Resolution. IEEE J. Sel. Areas Commun. 42(4): 978-989 (2024) - Wisnu Aditya, Timothy K. Shih, Tipajin Thaipisutikul, Chih-Yang Lin:
Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN). Multim. Tools Appl. 83(2): 4115-4132 (2024) - Yinglie Cao, Haoqi Xu, Zhiheng Zhou, Wanlin Yue, Shang Zhuge, Fei Li:
Super-resolution reconstructed video coding scheme based on inter-frame information. Multim. Tools Appl. 83(16): 47847-47863 (2024) - Xiaonan He, Yuansong Qiao, Brian Lee, Yuhang Ye:
A comparative study of super-resolution algorithms for video streaming application. Multim. Tools Appl. 83(14): 43493-43512 (2024) - S. Nathiya, R. Sujatha:
GAN with CCSO: generative adversarial network-driven CAViaR competitive swarm optimizer for medical video super resolution. Multim. Tools Appl. 83(6): 17373-17394 (2024) - Zhenghua Zhou, Boxiang Xue, Hai Wang, Jianwei Zhao:
Bidirectional Multi-scale Deformable Attention for Video Super-Resolution. Multim. Tools Appl. 83(9): 27809-27830 (2024) - Laigan Luo, Benshun Yi, Zhongyuan Wang, Peng Yi, Zheng He:
Efficient lightweight network for video super-resolution. Neural Comput. Appl. 36(2): 883-896 (2024) - Haoran Bai, Jinshan Pan:
Self-Supervised Deep Blind Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4641-4653 (2024) - Rui Chen, Yang Mu, Yan Zhang:
High-order relational generative adversarial network for video super-resolution. Pattern Recognit. 146: 110059 (2024) - Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim:
Looking beyond input frames: Self-supervised adaptation for video super-resolution. Pattern Recognit. 154: 110602 (2024) - Kinga Karwowska, Damian Wierzbicki:
Modified ESRGAN with Uformer for Video Satellite Imagery Super-Resolution. Remote. Sens. 16(11): 1926 (2024) - Mingxuan Lu, Peng Zhang:
Real-World Video Super-Resolution with a Degradation-Adaptive Model. Sensors 24(7): 2211 (2024) - Zheng Wang, Guancheng Quan, Gang He:
Edge-Oriented Compressed Video Super-Resolution. Sensors 24(1): 170 (2024) - Nesrine Chaibi, Najib Ben Aoun, Asma ElAdel, Mourad Zaied:
Image super resolution boosting using beta wavelet. Signal Image Video Process. 18(2): 1821-1831 (2024) - Vinay Dubey, Rahul Katarya:
SSR-GAN: super resolution-based generative adversarial networks model for flood image enhancement. Signal Image Video Process. 18(8-9): 5763-5773 (2024) - Yi Huang, Weixin Bian, Biao Jie, Zhiqiang Zhu, Wenhu Li:
Image super-resolution reconstruction based on deep dictionary learning and A+. Signal Image Video Process. 18(3): 2629-2641 (2024) - Yi Huang, Weixin Bian, Deqin Xu, Biao Jie, Luo Feng:
Fingerprint image super-resolution based on multi-class deep dictionary learning and ridge prior. Signal Image Video Process. 18(6-7): 5491-5501 (2024) - Xinbiao Lu, Xing Gao, Yisen Chen, Guiyun Chen, Tieliu Yang, Yudan Chen:
PEFormer: a pixel-level enhanced CNN-transformer hybrid network for face image super-resolution. Signal Image Video Process. 18(10): 7303-7317 (2024) - Xinbiao Lu, Xupeng Xie, Chunlin Ye, Hao Xing, Zecheng Liu, Yudan Chen:
Single-image super-resolution via a lightweight convolutional neural network with improved shuffle learning. Signal Image Video Process. 18(1): 233-241 (2024) - Hui Ma, Dongli Jia, Jiejie Xiao, Xu Su:
Image super-resolution: prefix-tuning transformer from large to small datasets. Signal Image Video Process. 18(3): 2753-2761 (2024) - Mayank Kumar Singh, Indu Saini, Neetu Sood:
Sub-RENet: a wavelet-based network for super resolution of diagnostic ultrasound. Signal Image Video Process. 18(6-7): 5029-5041 (2024) - Yibing Yao, Zhisheng Cui, Dakai Wang, Miaohui Zhang:
EFRG-SRGAN: combining augmented features for real-world super-resolution. Signal Image Video Process. 18(6-7): 5173-5187 (2024)
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