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Reshaping deep neural network for fast decoding by node-pruning.

, , , , and . ICASSP, page 245-249. IEEE, (2014)

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VRT: A Video Restoration Transformer., , , , , , , and . IEEE Trans. Image Process., (2024)TTS synthesis with bidirectional LSTM based recurrent neural networks., , , and . INTERSPEECH, page 1964-1968. ISCA, (2014)NTIRE 2019 Challenge on Real Image Denoising: Methods and Results., , , , , , , , , and 48 other author(s). CVPR Workshops, page 2197-2210. Computer Vision Foundation / IEEE, (2019)NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results., , , , , , , , , and 50 other author(s). CVPR Workshops, page 1985-1995. Computer Vision Foundation / IEEE, (2019)Balanced Two-Stage Residual Networks for Image Super-Resolution., , , , , , , , and . CVPR Workshops, page 1157-1164. IEEE Computer Society, (2017)Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining., , , , , and . CVPR, page 5689-5698. Computer Vision Foundation / IEEE, (2020)On the training aspects of Deep Neural Network (DNN) for parametric TTS synthesis., , , and . ICASSP, page 3829-3833. IEEE, (2014)YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark., , , , , , and . CoRR, (2018)Wide Activation for Efficient and Accurate Image Super-Resolution., , , , , , and . CoRR, (2018)Pyramid Attention Networks for Image Restoration., , , , , , , , and . CoRR, (2020)