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Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 43 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 130-152. Springer, (2022)Finite element model based temperature consensus control for material microstructure., , , and . ACC, page 619-624. IEEE, (2015)EVSRNet: Efficient Video Super-Resolution With Neural Architecture Search., , , , , , , , and . CVPR Workshops, page 2480-2485. Computer Vision Foundation / IEEE, (2021)NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results., , , , , , , , , and 69 other author(s). CoRR, (2022)RCBSR: Re-parameterization Convolution Block for Super-Resolution., , , , , , , and . ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 540-548. Springer, (2022)Material grain growth consensus control: A multi-zone heating approach applied on a Monte-Carlo model., , , and . ACC, page 3255-3260. IEEE, (2016)Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report., , , , , , , , , and 21 other author(s). CoRR, (2021)Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey., , , , , , , , , and 65 other author(s). CoRR, (2024)Accelerating RNN-T Training and Inference Using CTC Guidance., , , , , and . ICASSP, page 1-5. IEEE, (2023)