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Architecture-Aware Network Pruning for Vision Quality Applications., , , , and . ICIP, page 2701-2705. IEEE, (2019)Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency., , , , , , , , , and 6 other author(s). CVPR Workshops, page 2109-2119. Computer Vision Foundation / IEEE, (2020)Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report., , , , , , , , , and 31 other author(s). CoRR, (2021)MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI., , , , , , , , , and 17 other author(s). MLSys, mlsys.org, (2022)NTIRE 2020 Challenge on Image and Video Deblurring., , , , , , , , , and 38 other author(s). CVPR Workshops, page 1662-1675. Computer Vision Foundation / IEEE, (2020)An Embedding Scheme for Binary and Grayscale Watermarks by Spectrum Spreading and Its Performance Analysis., and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 90-A (3): 670-681 (2007)PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks., , , , , , , , , and 1 other author(s). ICPR, page 677-684. IEEE, (2022)Answer-checking in Context: A Multi-modal Fully Attention Network for Visual Question Answering., , , , and . ICPR, page 1173-1180. IEEE, (2020)Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report., , , , and . CVPR Workshops, page 2503-2514. Computer Vision Foundation / IEEE, (2021)MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning., , , , , , , , , and 1 other author(s). ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 729-746. Springer, (2022)