HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
暂无分享,去创建一个
Petros Daras | Stefanos Kollias | Dimitrios Zarpalas | Pablo Cesar | Nikolaos Zioulis | Shishir Subramanyam | Leonidas Saroglou | Petros Drakoulis | Caecilia Charbonnier | Anargyros Chatzitofis | Prodromos Boutis | Bart Kevelham | S. Kollias | Pablo César | Anargyros Chatzitofis | P. Daras | N. Zioulis | D. Zarpalas | C. Charbonnier | Bart Kevelham | S. Subramanyam | Petros Drakoulis | Prodromos Boutis | Leonidas Saroglou
[1] Petros Daras,et al. An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[2] Victor Lempitsky,et al. Learnable Triangulation of Human Pose , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[3] Iasonas Kokkinos,et al. HoloPose: Holistic 3D Human Reconstruction In-The-Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Petros Daras,et al. DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors , 2019, Sensors.
[5] Michael J. Black,et al. Dynamic FAUST: Registering Human Bodies in Motion , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[7] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[8] Clay Andres,et al. Canon Hack Development Kit , 2009 .
[9] M. Shamim Hossain,et al. Emotion recognition using deep learning approach from audio-visual emotional big data , 2019, Inf. Fusion.
[10] Piotr Szczuko,et al. Deep neural networks for human pose estimation from a very low resolution depth image , 2019, Multimedia Tools and Applications.
[11] Yi Yang,et al. Articulated Human Detection with Flexible Mixtures of Parts , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Michael J. Black,et al. Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[13] Christian Theobalt,et al. DeepCap: Monocular Human Performance Capture Using Weak Supervision , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Pushmeet Kohli,et al. Fusion4D , 2016, ACM Trans. Graph..
[15] Pascal Fua,et al. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision , 2016, 2017 International Conference on 3D Vision (3DV).
[16] Ambrish Tyagi,et al. PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation , 2020, ArXiv.
[17] Emre Akbas,et al. Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Nilanjan Dey,et al. A Beginner's Guide to Data Agglomeration and Intelligent Sensing , 2020 .
[19] Paolo Cignoni,et al. Metro: Measuring Error on Simplified Surfaces , 1998, Comput. Graph. Forum.
[20] Michael J. Black,et al. HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.
[21] Georgios Tzimiropoulos,et al. 3D Human Body Reconstruction from a Single Image via Volumetric Regression , 2018, ECCV Workshops.
[22] Iasonas Kokkinos,et al. DensePose: Dense Human Pose Estimation in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Omesh Tickoo,et al. Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[24] Wenjun Zeng,et al. Cross View Fusion for 3D Human Pose Estimation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[25] Andrew Zisserman,et al. Recurrent Human Pose Estimation , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[26] Petros Daras,et al. A Low-Cost, Flexible and Portable Volumetric Capturing System , 2018, 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
[27] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Yinda Zhang,et al. Deep Implicit Volume Compression , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Giuseppe Valenzise,et al. Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression , 2019, 2019 IEEE International Conference on Image Processing (ICIP).
[30] Yang Xiao,et al. A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[31] Rufael Mekuria,et al. Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[32] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[33] Cewu Lu,et al. RMPE: Regional Multi-person Pose Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[34] Nikolaus F. Troje,et al. AMASS: Archive of Motion Capture As Surface Shapes , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[35] Andrew Owens,et al. Audio-Visual Scene Analysis with Self-Supervised Multisensory Features , 2018, ECCV.
[36] Christian Theobalt,et al. LiveCap , 2018, ACM Trans. Graph..
[37] Hans-Peter Seidel,et al. VNect , 2017, ACM Trans. Graph..
[38] Petros Daras,et al. Benchmarking Open-Source Static 3D Mesh Codecs for Immersive Media Interactive Live Streaming , 2019, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[39] Rufael Mekuria,et al. Draft call for proposals for point cloud compression , 2016 .
[40] Timothy Jung,et al. Experiencing immersive virtual reality in museums , 2020, Inf. Manag..
[41] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[42] Rufael Mekuria,et al. Emerging MPEG Standards for Point Cloud Compression , 2019, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[43] Ruzena Bajcsy,et al. Berkeley MHAD: A comprehensive Multimodal Human Action Database , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).
[44] Petros Daras,et al. Quaternionic Signal Processing Techniques for Automatic Evaluation of Dance Performances From MoCap Data , 2014, IEEE Transactions on Multimedia.
[45] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[46] Frank B. ter Haar,et al. Virtual reality conferencing: multi-user immersive VR experiences on the web , 2018, MMSys.
[47] Michael M. Kazhdan,et al. Reconstruction of solid models from oriented point sets , 2005, SGP '05.
[48] Takeo Kanade,et al. Panoptic Studio: A Massively Multiview System for Social Motion Capture , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[49] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[51] Petros Daras,et al. Markerless structure-based multi-sensor calibration for free viewpoint video capture , 2018 .
[52] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[53] Xiaoyang Liu,et al. Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera , 2017, ACM Trans. Graph..
[54] Petros Daras,et al. Motion analysis: Action detection, recognition and evaluation based on motion capture data , 2018, Pattern Recognit..
[55] Jie Li,et al. Comparing the Quality of Highly Realistic Digital Humans in 3DoF and 6DoF: A Volumetric Video Case Study , 2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).
[56] Jihun Yu,et al. HUMBI: A Large Multiview Dataset of Human Body Expressions , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Michael J. Black,et al. SMPL: A Skinned Multi-Person Linear Model , 2023 .
[58] Dieter Fox,et al. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Jie Li,et al. Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[60] Matteo Munaro,et al. Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks , 2018, IAS.
[61] Petros Daras,et al. Toward Real-Time and Efficient Compression of Human Time-Varying Meshes , 2014, IEEE Transactions on Circuits and Systems for Video Technology.
[62] Charles T. Loop,et al. Holoportation: Virtual 3D Teleportation in Real-time , 2016, UIST.
[63] Hao Zhu,et al. Learned Point Cloud Geometry Compression , 2019, ArXiv.
[64] Marcus A. Magnor,et al. Video Based Reconstruction of 3D People Models , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[65] Günther Greiner,et al. On Floating‐Point Normal Vectors , 2010, Comput. Graph. Forum.
[66] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[67] Nicolas Padoy,et al. A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms , 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).