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Frugal following: power thrifty object detection and tracking for mobile augmented reality.

, , , , and . SenSys, page 96-109. ACM, (2019)

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Exploring the Role of Loss Functions in Multiclass Classification., , and . CISS, page 1-5. IEEE, (2020)Guest Editorial: Bridging the Gap Between Industry and Academia for Networking Research., , , , , and . IEEE Netw., 36 (1): 8-9 (2022)A framework for energy-efficient adaptive jamming of adversarial communications., , , and . CISS, page 1-6. IEEE, (2013)Fair and optimal resource allocation for LTE multicast (eMBMS): Group partitioning and dynamics., , , , , and . INFOCOM, page 1266-1274. IEEE, (2015)DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics., , , , and . INFOCOM, page 1421-1429. IEEE, (2018)Going through the motions: AR/VR keylogging from user head motions., , , and . USENIX Security Symposium, page 159-174. USENIX Association, (2023)Frugal following: power thrifty object detection and tracking for mobile augmented reality., , , , and . SenSys, page 96-109. ACM, (2019)Will it Move?: Indoor Scene Characterization for Hologram Stability in Mobile AR., , , and . HotMobile, page 174-176. ACM, (2021)Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective., , , , and . AAAI, page 16890-16898. AAAI Press, (2024)Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations., , , and . EMS@SIGCOMM, page 8-14. ACM, (2023)