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Real-time Night Surveillance Video Retrieval through Calibrated Denoising and Super-resolution.

, , , , and . IJCNN, page 1-10. IEEE, (2023)

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Learning Early Exit for Deep Neural Network Inference on Mobile Devices through Multi-Armed Bandits., , , , and . CCGRID, page 11-20. IEEE, (2021)ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming., , , and . Q2SWinet, page 61-68. ACM, (2023)SEE: Scheduling Early Exit for Mobile DNN Inference during Service Outage., , , , , and . MSWiM, page 279-288. ACM, (2019)3RE-Net: Joint Loss-REcovery and Super-REsolution Neural Network for REal-Time Video., , and . AI (1), volume 14471 of Lecture Notes in Computer Science, page 165-177. Springer, (2023)Dynamic path learning in decision trees using contextual bandits., , , , and . World Wide Web (WWW), 26 (1): 271-296 (January 2023)eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment., , , , and . ACM Trans. Sens. Networks, 17 (3): 30:1-30:28 (2021)Semi-Online Multi-Machine with Restart Scheduling for Integrated Edge and Cloud Computing Systems., , , , , , and . ICPP, page 70:1-70:13. ACM, (2022)Accelerating on-device DNN inference during service outage through scheduling early exit., , , , , and . Comput. Commun., (2020)Edge-assisted deep video denoising and super-resolution for real-time surveillance at night., , , and . MobiCom, page 783-785. ACM, (2022)Real-EVE: Real-Time Edge-Assist Video Enhancement for Joint Denoising and Super-Resolution., , , and . ICA3PP (1), volume 14487 of Lecture Notes in Computer Science, page 320-339. Springer, (2023)