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Draco 3D Graphics Compression. https:\/\/google.github.io\/draco\/."},{"key":"e_1_3_2_1_2_1","unstructured":"Eye Tracking on HoloLens 2. https:\/\/docs.microsoft.com\/en-us\/windows\/mixed-reality\/design\/eye-tracking.  Eye Tracking on HoloLens 2. https:\/\/docs.microsoft.com\/en-us\/windows\/mixed-reality\/design\/eye-tracking."},{"key":"e_1_3_2_1_3_1","unstructured":"HOLOSYS. https:\/\/www.4dviews.com\/volumetric-systems.  HOLOSYS. https:\/\/www.4dviews.com\/volumetric-systems."},{"key":"e_1_3_2_1_4_1","unstructured":"Intel RealSense LiDAR Camera L515. https:\/\/www.intelrealsense.com\/lidar-camera-l515\/.  Intel RealSense LiDAR Camera L515. https:\/\/www.intelrealsense.com\/lidar-camera-l515\/."},{"key":"e_1_3_2_1_5_1","unstructured":"Intel RealSense Technology. https:\/\/www.intel.com\/content\/www\/us\/en\/architecture-and-technology\/realsense-overview.html.  Intel RealSense Technology. https:\/\/www.intel.com\/content\/www\/us\/en\/architecture-and-technology\/realsense-overview.html."},{"key":"e_1_3_2_1_6_1","unstructured":"Jetson AGX Xavier. https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-agx-xavier\/.  Jetson AGX Xavier. https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-agx-xavier\/."},{"key":"e_1_3_2_1_7_1","unstructured":"Microsoft Azure Kinect DK. https:\/\/developer.microsoft.com\/en-us\/windows\/kinect.  Microsoft Azure Kinect DK. https:\/\/developer.microsoft.com\/en-us\/windows\/kinect."},{"key":"e_1_3_2_1_8_1","unstructured":"Microsoft HoloLens 2. https:\/\/www.microsoft.com\/en-us\/hololens.  Microsoft HoloLens 2. https:\/\/www.microsoft.com\/en-us\/hololens."},{"key":"e_1_3_2_1_9_1","unstructured":"Microsoft Universal Windows Platform. https:\/\/docs.microsoft.com\/en-us\/windows\/uwp\/get-started\/universal-application-platform-guide.  Microsoft Universal Windows Platform. https:\/\/docs.microsoft.com\/en-us\/windows\/uwp\/get-started\/universal-application-platform-guide."},{"key":"e_1_3_2_1_10_1","unstructured":"Mixed Reality Capture Studios. https:\/\/www.microsoft.com\/en-us\/mixed-reality\/capture-studios.  Mixed Reality Capture Studios. https:\/\/www.microsoft.com\/en-us\/mixed-reality\/capture-studios."},{"key":"e_1_3_2_1_11_1","unstructured":"Mixed Reality Toolkit 2. https:\/\/docs.microsoft.com\/en-us\/windows\/mixed-reality\/mrtk-unity\/mrtk2\/?view=mrtkunity-2022-05.  Mixed Reality Toolkit 2. https:\/\/docs.microsoft.com\/en-us\/windows\/mixed-reality\/mrtk-unity\/mrtk2\/?view=mrtkunity-2022-05."},{"key":"e_1_3_2_1_12_1","unstructured":"Nvidia Docker. In https:\/\/docs.nvidia.com\/datacenter\/cloud-native\/container-toolkit\/user-guide.html.  Nvidia Docker. In https:\/\/docs.nvidia.com\/datacenter\/cloud-native\/container-toolkit\/user-guide.html."},{"key":"e_1_3_2_1_13_1","unstructured":"Nvidia Jetson-inference. https:\/\/www.microsoft.com\/en-us\/mixed-reality\/capture-studios.  Nvidia Jetson-inference. https:\/\/www.microsoft.com\/en-us\/mixed-reality\/capture-studios."},{"key":"e_1_3_2_1_14_1","unstructured":"Nvidia Jetson Nano Developer Kit. https:\/\/developer.nvidia.com\/embedded\/jetson-nano-developer-kit.  Nvidia Jetson Nano Developer Kit. https:\/\/developer.nvidia.com\/embedded\/jetson-nano-developer-kit."},{"key":"e_1_3_2_1_15_1","unstructured":"Nvidia Jetson TX2 Module. https:\/\/developer.nvidia.com\/embedded\/jetson-tx2.  Nvidia Jetson TX2 Module. https:\/\/developer.nvidia.com\/embedded\/jetson-tx2."},{"key":"e_1_3_2_1_16_1","unstructured":"Unity Real-Time Development Platform. In https:\/\/unity.com\/.  Unity Real-Time Development Platform. In https:\/\/unity.com\/ ."},{"key":"e_1_3_2_1_17_1","unstructured":"Visual Effect Graph. https:\/\/unity.com\/visual-effect-graph.  Visual Effect Graph. https:\/\/unity.com\/visual-effect-graph."},{"key":"e_1_3_2_1_18_1","unstructured":"What are SSIM and PSNR. https:\/\/github.com\/deterenkelt\/Nadeshiko\/wiki\/Docs-on-encoding.-SSIM-and-PSNR.  What are SSIM and PSNR. https:\/\/github.com\/deterenkelt\/Nadeshiko\/wiki\/Docs-on-encoding.-SSIM-and-PSNR."},{"key":"e_1_3_2_1_19_1","unstructured":"X264 library. https:\/\/www.videolan.org\/developers\/x264.html.  X264 library. https:\/\/www.videolan.org\/developers\/x264.html."},{"key":"e_1_3_2_1_20_1","volume-title":"et al. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv","author":"Abadi M.","year":"2016","unstructured":"M. Abadi , A. Agarwal , P. Barham , E. Brevdo , Z. Chen , C. Citro , G. S. Corrado , A. Davis , J. Dean , M. Devin , et al. 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Dr. Dobb's Journal: Software Tools for the Professional Programmer, 25(11):120--123, 2000.","journal-title":"Dr. Dobb's Journal: Software Tools for the Professional Programmer"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of ACM MMSys","author":"Chen B.","year":"2019","unstructured":"B. Chen , Z. Yan , H. Jin , and K. Nahrstedt . Event-driven Stitching for Tile-based Live 360 Video Streaming . In Proceedings of ACM MMSys , 2019 . B. Chen, Z. Yan, H. Jin, and K. Nahrstedt. Event-driven Stitching for Tile-based Live 360 Video Streaming. In Proceedings of ACM MMSys, 2019."},{"key":"e_1_3_2_1_25_1","volume-title":"Telesurgery: past, present, and future. Cureus, 10(5)","author":"Choi P. J.","year":"2018","unstructured":"P. J. Choi , R. J. Oskouian , and R. S. Tubbs . Telesurgery: past, present, and future. Cureus, 10(5) , 2018 . P. J. Choi, R. J. Oskouian, and R. S. Tubbs. Telesurgery: past, present, and future. Cureus, 10(5), 2018."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900272"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of ACM MMSys","author":"De Cicco L.","year":"2011","unstructured":"L. De Cicco , S. Mascolo , and V. Palmisano . Feedback control for adaptive live video streaming . In Proceedings of ACM MMSys , 2011 . L. De Cicco, S. Mascolo, and V. Palmisano. Feedback control for adaptive live video streaming. In Proceedings of ACM MMSys, 2011."},{"key":"e_1_3_2_1_28_1","volume-title":"Fusion4D: Realtime Performance Capture of Challenging Scenes. ACM Transactions on Graphics (ToG), 35(4):1--13","author":"Dou M.","year":"2016","unstructured":"M. Dou , S. Khamis , Y. Degtyarev , P. Davidson , S. R. Fanello , A. Kowdle , S. O. Escolano , C. Rhemann , D. Kim , J. Taylor , Fusion4D: Realtime Performance Capture of Challenging Scenes. ACM Transactions on Graphics (ToG), 35(4):1--13 , 2016 . M. Dou, S. Khamis, Y. Degtyarev, P. Davidson, S. R. Fanello, A. Kowdle, S. O. Escolano, C. Rhemann, D. Kim, J. Taylor, et al. Fusion4D: Realtime Performance Capture of Challenging Scenes. ACM Transactions on Graphics (ToG), 35(4):1--13, 2016."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3190834.3190843"},{"key":"e_1_3_2_1_30_1","volume-title":"2011 IEEE Intelligent Vehicles Symposium (IV)","author":"Geiger A.","year":"2011","unstructured":"A. Geiger , J. Ziegler , and C. Stiller . StereoScan: Dense 3D Reconstruction in Real-time . In 2011 IEEE Intelligent Vehicles Symposium (IV) , 2011 . A. Geiger, J. Ziegler, and C. Stiller. StereoScan: Dense 3D Reconstruction in Real-time. In 2011 IEEE Intelligent Vehicles Symposium (IV), 2011."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7354093"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of ACM MobiSys","author":"Guan Y.","year":"2022","unstructured":"Y. Guan , X. Hou , N. Wu , B. Han , and T. Han . 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In Proceedings of ACM MMSys, 2020."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of ACM CHI","author":"Hamilton W. A.","year":"2014","unstructured":"W. A. Hamilton , O. Garretson , and A. Kerne . Streaming on Twitch: fostering participatory communities of play within live mixed media . In Proceedings of ACM CHI , 2014 . W. A. Hamilton, O. Garretson, and A. Kerne. Streaming on Twitch: fostering participatory communities of play within live mixed media. In Proceedings of ACM CHI, 2014."},{"key":"e_1_3_2_1_36_1","volume-title":"Proceedings of ACM MobiCom","author":"Han B.","year":"2020","unstructured":"B. Han , Y. Liu , and F. Qian . ViVo: Visibility-Aware Mobile Volumetric Video Streaming . In Proceedings of ACM MobiCom , 2020 . B. Han, Y. Liu, and F. Qian. ViVo: Visibility-Aware Mobile Volumetric Video Streaming. In Proceedings of ACM MobiCom, 2020."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3210240.3210323"},{"key":"e_1_3_2_1_38_1","volume-title":"Proceedings of ACM MobiCom","author":"Hou X.","year":"2022","unstructured":"X. Hou , Y. Guan , and T. Han . NeuLens: spatial-based dynamic acceleration of convolutional neural networks on edge . In Proceedings of ACM MobiCom , 2022 . X. Hou, Y. Guan, and T. Han. NeuLens: spatial-based dynamic acceleration of convolutional neural networks on edge. In Proceedings of ACM MobiCom, 2022."},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of IPDPS","author":"Hou X.","year":"2022","unstructured":"X. Hou , Y. Guan , T. Han , and N. Zhang . Distredge: Speeding up convolutional neural network inference on distributed edge devices . In Proceedings of IPDPS , 2022 . X. Hou, Y. Guan, T. Han, and N. Zhang. Distredge: Speeding up convolutional neural network inference on distributed edge devices. In Proceedings of IPDPS, 2022."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477083.3480155"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.optlaseng.2018.11.005","article-title":"Research on multi-camera calibration and point cloud correction method based on three-dimensional calibration object","volume":"115","author":"Huang L.","year":"2019","unstructured":"L. Huang , F. Da , and S. Gai . Research on multi-camera calibration and point cloud correction method based on three-dimensional calibration object . Optics and Lasers in Engineering , 115 : 32 -- 41 , 2019 . L. Huang, F. Da, and S. Gai. Research on multi-camera calibration and point cloud correction method based on three-dimensional calibration object. Optics and Lasers in Engineering, 115:32--41, 2019.","journal-title":"Optics and Lasers in Engineering"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of UIST","author":"Izadi S.","year":"2011","unstructured":"S. Izadi , D. Kim , O. Hilliges , D. Molyneaux , R. Newcombe , P. Kohli , J. Shotton , S. Hodges , D. Freeman , A. Davison , : Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera . In Proceedings of UIST , 2011 . S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe, P. Kohli, J. Shotton, S. Hodges, D. Freeman, A. Davison, et al. KinectFusion: Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera. In Proceedings of UIST, 2011."},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","author":"Jun H.","year":"2020","unstructured":"H. Jun and J. Bailenson . Temporal RVL: a depth stream compression method . In Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) , 2020 . H. Jun and J. Bailenson. Temporal RVL: a depth stream compression method. In Proceedings of IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020."},{"key":"e_1_3_2_1_44_1","volume-title":"SURF, BRIEF and ORB: performance comparison for distorted images. arXiv","author":"Karami E.","year":"2017","unstructured":"E. Karami , S. Prasad , and M. Shehata . Image matching using SIFT , SURF, BRIEF and ORB: performance comparison for distorted images. arXiv , 2017 . E. Karami, S. Prasad, and M. Shehata. Image matching using SIFT, SURF, BRIEF and ORB: performance comparison for distorted images. arXiv, 2017."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405856"},{"key":"e_1_3_2_1_46_1","volume-title":"Proceedings of International Conference on 3D Vision","author":"Kowalski M.","year":"2015","unstructured":"M. Kowalski , J. Naruniec , and M. Daniluk . LiveScan3D: A Fast and Inexpensive 3D Data Acquisition System for Multiple Kinect v2 Sensors . In Proceedings of International Conference on 3D Vision , 2015 . M. Kowalski, J. Naruniec, and M. Daniluk. LiveScan3D: A Fast and Inexpensive 3D Data Acquisition System for Multiple Kinect v2 Sensors. In Proceedings of International Conference on 3D Vision, 2015."},{"key":"e_1_3_2_1_47_1","first-page":"40","article-title":"Project Starline: A high-fidelity telepresence system","author":"Lawrence J.","year":"2021","unstructured":"J. Lawrence , D. B. Goldman , S. Achar , G. M. Blascovich , J. G. Desloge , T. 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GROOT: A Real-Time Streaming System of High-Fidelity Volumetric Videos. In Proceedings of ACM MobiCom, 2020."},{"key":"e_1_3_2_1_49_1","volume-title":"Proceedings of IEEE CVPR","author":"Li J.","year":"2018","unstructured":"J. Li , B. M. Chen , and G. H. Lee . So-net: Self-organizing network for point cloud analysis . In Proceedings of IEEE CVPR , 2018 . J. Li, B. M. Chen, and G. H. Lee. So-net: Self-organizing network for point cloud analysis. In Proceedings of IEEE CVPR, 2018."},{"key":"e_1_3_2_1_50_1","volume-title":"Time-of-flight camera-an introduction. Technical white paper","author":"Li L.","year":"2014","unstructured":"L. Li . Time-of-flight camera-an introduction. Technical white paper , 2014 . L. Li. Time-of-flight camera-an introduction. Technical white paper, 2014."},{"key":"e_1_3_2_1_51_1","volume-title":"Heng. PU-GAN: A Point Cloud Upsampling Adversarial Network. In Proceedings of ICCV","author":"Li R.","year":"2019","unstructured":"R. Li , X. Li , C.-W. Fu , D. 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LIME: Understanding Commercial 360\u00b0 Live Video Streaming Services. In Proceedings of ACM MMSys, 2019."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature02782"},{"key":"e_1_3_2_1_55_1","volume-title":"3D mesh compression: Survey, comparisons, and emerging trends. ACM Computing Surveys (CSUR), 47(3):1--41","author":"Maglo A.","year":"2015","unstructured":"A. Maglo , G. Lavou\u00e9 , F. Dupont , and C. Hudelot . 3D mesh compression: Survey, comparisons, and emerging trends. ACM Computing Surveys (CSUR), 47(3):1--41 , 2015 . A. Maglo, G. Lavou\u00e9, F. Dupont, and C. Hudelot. 3D mesh compression: Survey, comparisons, and emerging trends. ACM Computing Surveys (CSUR), 47(3):1--41, 2015."},{"key":"e_1_3_2_1_56_1","volume-title":"Proceedings of IEEE CVPR","author":"Mouragnon E.","year":"2006","unstructured":"E. Mouragnon , M. Lhuillier , M. Dhome , F. Dekeyser , and P. Sayd . Real Time Localization and 3D Reconstruction . In Proceedings of IEEE CVPR , 2006 . E. Mouragnon, M. Lhuillier, M. Dhome, F. Dekeyser, and P. Sayd. Real Time Localization and 3D Reconstruction. In Proceedings of IEEE CVPR, 2006."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2015.10.004"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2017.2705103"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/2984511.2984517"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2898622"},{"key":"e_1_3_2_1_61_1","volume-title":"ACM Transactions on Graphics","author":"Patney A.","year":"2016","unstructured":"A. Patney , M. Salvi , J. Kim , A. Kaplanyan , C. Wyman , N. Benty , D. Luebke , and A. Lefohn . Towards foveated rendering for gaze-tracked virtual reality . ACM Transactions on Graphics , 2016 . A. Patney, M. Salvi, J. Kim, A. Kaplanyan, C. Wyman, N. Benty, D. Luebke, and A. Lefohn. Towards foveated rendering for gaze-tracked virtual reality. ACM Transactions on Graphics, 2016."},{"key":"e_1_3_2_1_62_1","volume-title":"Technologies for 3D mesh compression: A survey. Journal of visual communication and image representation, 16(6):688--733","author":"Peng J.","year":"2005","unstructured":"J. Peng , C.-S. Kim , and C.-C. J. Kuo . Technologies for 3D mesh compression: A survey. Journal of visual communication and image representation, 16(6):688--733 , 2005 . J. Peng, C.-S. Kim, and C.-C. J. Kuo. Technologies for 3D mesh compression: A survey. Journal of visual communication and image representation, 16(6):688--733, 2005."},{"key":"e_1_3_2_1_63_1","volume-title":"Object Tracking and Query Generation. In Proceedings of International Conference on Multimedia and Expo","author":"Porikli F.","year":"2003","unstructured":"F. Porikli and A. Divakaran . Multi-camera Calibration , Object Tracking and Query Generation. In Proceedings of International Conference on Multimedia and Expo , 2003 . F. Porikli and A. Divakaran. Multi-camera Calibration, Object Tracking and Query Generation. In Proceedings of International Conference on Multimedia and Expo, 2003."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301293.3302358"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241565"},{"key":"e_1_3_2_1_66_1","volume-title":"Proceedings of ACM MobiSys","author":"Qiu H.","year":"2018","unstructured":"H. Qiu , F. Ahmad , F. Bai , M. Gruteser , and R. Govindan . Augmented Vehicular Reality . In Proceedings of ACM MobiSys , 2018 . H. Qiu, F. Ahmad, F. Bai, M. Gruteser, and R. Govindan. Augmented Vehicular Reality. In Proceedings of ACM MobiSys, 2018."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"e_1_3_2_1_69_1","volume-title":"Proceedings of ACM SIGCOMM","author":"Sripanidkulchai K.","year":"2004","unstructured":"K. Sripanidkulchai , B. Maggs , and H. Zhang . An analysis of live streaming workloads on the internet . In Proceedings of ACM SIGCOMM , 2004 . K. Sripanidkulchai, B. Maggs, and H. Zhang. An analysis of live streaming workloads on the internet. In Proceedings of ACM SIGCOMM, 2004."},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2019.2921162"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900488"},{"key":"e_1_3_2_1_72_1","volume-title":"Proceedings of ACM MM","author":"van der Hooft J.","year":"2019","unstructured":"J. van der Hooft , T. Wauters , F. D. Turck , C. Timmerer , and H. Hellwagner . Towards 6DoF HTTP Adaptive Streaming Through Point Cloud Compression . In Proceedings of ACM MM , 2019 . J. van der Hooft, T. Wauters, F. D. Turck, C. Timmerer, and H. Hellwagner. Towards 6DoF HTTP Adaptive Streaming Through Point Cloud Compression. In Proceedings of ACM MM, 2019."},{"key":"e_1_3_2_1_73_1","volume-title":"Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV)","author":"Wang P.","year":"2018","unstructured":"P. Wang , P. Chen , Y. Yuan , D. Liu , Z. Huang , X. Hou , and G. Cottrell . Understanding convolution for semantic segmentation . In Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV) , 2018 . P. Wang, P. Chen, Y. Yuan, D. Liu, Z. Huang, X. Hou, and G. Cottrell. Understanding convolution for semantic segmentation. In Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), 2018."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.815165"},{"key":"e_1_3_2_1_75_1","volume-title":"Fast Lossless Depth Image Compression. In Proceedings of ACM International Conference on Interactive Surfaces and Spaces","author":"Wilson A. D.","year":"2017","unstructured":"A. D. Wilson . Fast Lossless Depth Image Compression. In Proceedings of ACM International Conference on Interactive Surfaces and Spaces , 2017 . A. D. Wilson. Fast Lossless Depth Image Compression. In Proceedings of ACM International Conference on Interactive Surfaces and Spaces, 2017."},{"key":"e_1_3_2_1_76_1","volume-title":"Proceedings of IEEE CVPR","author":"Ye M.","year":"2014","unstructured":"M. Ye and R. Yang . Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera . In Proceedings of IEEE CVPR , 2014 . M. Ye and R. Yang. Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera. In Proceedings of IEEE CVPR, 2014."},{"key":"e_1_3_2_1_77_1","volume-title":"Proceedings of ACM MobiCom","author":"Yeo H.","year":"2020","unstructured":"H. Yeo , C. J. Chong , Y. Jung , J. Ye , and D. Han . NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices . In Proceedings of ACM MobiCom , 2020 . H. 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In Proceedings of USENIX OSDI, 2018."},{"key":"e_1_3_2_1_80_1","volume-title":"Proceedings of ACM MM","author":"Yi J.","year":"2020","unstructured":"J. Yi , M. R. Islam , S. Aggarwal , D. Koutsonikolas , Y. C. Hu , and Z. Yan . An Analysis of Delay in Live 360\u00b0 Video Streaming Systems . In Proceedings of ACM MM , 2020 . J. Yi, M. R. Islam, S. Aggarwal, D. Koutsonikolas, Y. C. Hu, and Z. Yan. An Analysis of Delay in Live 360\u00b0 Video Streaming Systems. In Proceedings of ACM MM, 2020."},{"key":"e_1_3_2_1_81_1","volume-title":"Proceedings of ACM MM","author":"Yin H.","year":"2009","unstructured":"H. Yin , X. Liu , T. Zhan , V. Sekar , F. Qiu , C. Lin , H. Zhang , and B. Li . Design and deployment of a hybrid CDN-P2P system for live video streaming: experiences with LiveSky . In Proceedings of ACM MM , 2009 . H. Yin, X. Liu, T. Zhan, V. Sekar, F. Qiu, C. Lin, H. Zhang, and B. Li. Design and deployment of a hybrid CDN-P2P system for live video streaming: experiences with LiveSky. In Proceedings of ACM MM, 2009."},{"key":"e_1_3_2_1_82_1","volume-title":"Proceedings of ACM HotMobile","author":"Zhang A.","year":"2021","unstructured":"A. Zhang , C. Wang , B. Han , and F. Qian . Efficient Volumetric Video Streaming Through Super Resolution . In Proceedings of ACM HotMobile , 2021 . A. Zhang, C. Wang, B. Han, and F. Qian. Efficient Volumetric Video Streaming Through Super Resolution. In Proceedings of ACM HotMobile, 2021."},{"key":"e_1_3_2_1_83_1","volume-title":"Proceedings of ACM HotNets","author":"Zhang D.","year":"2021","unstructured":"D. Zhang , B. Han , P. Pathak ,, and H. Wang . Innovating Multi-user Volumetric Video Streaming through Cross-layer Design . In Proceedings of ACM HotNets , 2021 . D. Zhang, B. Han, P. Pathak,, and H. Wang. Innovating Multi-user Volumetric Video Streaming through Cross-layer Design. 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