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Data-centric clustering for data gathering in machine-to-machine wireless networks.

, , and . ICC Workshops, page 89-94. IEEE, (2013)

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Data-centric clustering for data gathering in machine-to-machine wireless networks., , and . ICC Workshops, page 89-94. IEEE, (2013)Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data., , , , and . HuEvent@MM, page 7-10. ACM, (2014)Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation., , , and . ICCV Workshops, page 3324-3332. IEEE, (2019)Enabling dense machine-to-machine communications through interference-controlled clustering., , and . IWCMC, page 774-779. IEEE, (2012)Exploiting Machine-learning Prediction for Enabling Real-time Pixel-scaling Techniques in Mobile Camera Applications., , and . SAC, page 1065-1067. ACM, (2023)SimPoE: Simulated Character Control for 3D Human Pose Estimation., , , , and . CVPR, page 7159-7169. Computer Vision Foundation / IEEE, (2021)Formulating and solving the femtocell deployment problem in two-tier heterogeneous networks., , , , and . ICC, page 5053-5058. IEEE, (2012)Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields., , , and . CVPR, page 1302-1310. IEEE Computer Society, (2017)Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors., , , , , and . CVPR, page 360-368. Computer Vision Foundation / IEEE Computer Society, (2018)LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space., , , , , , , and . ECCV (26), volume 13686 of Lecture Notes in Computer Science, page 92-110. Springer, (2022)