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Royson Lee

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How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor

Nov 30, 2023
Hrushikesh Loya, Łukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernandez-Marques, Nicholas D. Lane, Hongkai Wen

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FedL2P: Federated Learning to Personalize

Oct 03, 2023
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

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NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution

Dec 15, 2022
Stylianos I. Venieris, Mario Almeida, Royson Lee, Nicholas D. Lane

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Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Dec 15, 2022
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

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Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design

Sep 20, 2022
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah

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Temporal Kernel Consistency for Blind Video Super-Resolution

Aug 18, 2021
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen

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Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions

Jun 07, 2021
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane

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Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions

Oct 22, 2020
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane

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BRP-NAS: Prediction-based NAS using GCNs

Aug 10, 2020
Łukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane

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