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Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices., , , , , , , , and . CoRR, (2020)Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card., , , , , , , and . CoRR, (2021)Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices., , , , , , , and . IJCAI, page 5012-5015. ijcai.org, (2021)SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile., , , , , , , and . ASPLOS (3), page 916-931. ACM, (2024)Towards Socially Acceptable Food Type Recognition., , , , , , , and . MSN, page 671-678. IEEE, (2022)Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices., , , , , and . USENIX Annual Technical Conference, page 865-877. USENIX Association, (2023)DNNFusion: accelerating deep neural networks execution with advanced operator fusion., , , , and . PLDI, page 883-898. ACM, (2021)Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge., , , , , , , , , and . CVPR, page 15402-15412. IEEE, (2023)Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization., , , , , , , , , and . CoRR, (2020)RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices., , , , , , , , , and . AAAI, page 9179-9187. AAAI Press, (2021)