RPM-Net
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Hao Zhang | Hui Huang | Oliver van Kaick | Ruizhen Hu | Zihao Yan | Xingguang Yan | Luanmin Chen | Hao Zhang | Hui Huang | O. V. Kaick | Ruizhen Hu | Xingguang Yan | Luanmin Chen | Zihao Yan
[1] Xiaogang Wang,et al. Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Ulrich Neumann,et al. SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Leonidas J. Guibas,et al. Shape2Pose , 2014, ACM Trans. Graph..
[4] Yun Jiang,et al. Hallucinated Humans as the Hidden Context for Labeling 3D Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Scott Cohen,et al. Forecasting Human Dynamics from Static Images , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] E. Reed. The Ecological Approach to Visual Perception , 1989 .
[7] Ariel Shamir,et al. Learning to predict part mobility from a single static snapshot , 2017, ACM Trans. Graph..
[8] Leonidas J. Guibas,et al. Deep part induction from articulated object pairs , 2018, ACM Trans. Graph..
[9] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[10] Oliver van Kaick,et al. Functionality Representations and Applications for Shape Analysis , 2018, Comput. Graph. Forum.
[11] Ruzena Bajcsy,et al. Interactive Recognition and Representation of Functionality , 1995, Comput. Vis. Image Underst..
[12] Jörg Stückler,et al. Dense real-time mapping of object-class semantics from RGB-D video , 2013, Journal of Real-Time Image Processing.
[13] Kun Zhou,et al. Interpreting concept sketches , 2013, ACM Trans. Graph..
[14] Daniel Cohen-Or,et al. P2P-NET , 2018, ACM Trans. Graph..
[15] Chenfanfu Jiang,et al. Inferring Forces and Learning Human Utilities from Videos , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Cheng Liang,et al. Mobility‐Trees for Indoor Scenes Manipulation , 2014, Comput. Graph. Forum.
[17] Wei Xiong,et al. Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Jan Kautz,et al. MoCoGAN: Decomposing Motion and Content for Video Generation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] James M. Rehg,et al. Learning contact locations for pushing and orienting unknown objects , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).
[20] Hui Huang,et al. RPM-Net , 2019, ACM Trans. Graph..
[21] YoshiyasuYusuke,et al. Understanding and Exploiting Object Interaction Landscapes , 2017 .
[22] GongMinglun,et al. Mobility-Trees for Indoor Scenes Manipulation , 2014 .
[23] Michael Caine. The design of shape interactions using motion constraints , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[24] Hans-Peter Seidel,et al. Animation cartography—intrinsic reconstruction of shape and motion , 2012, TOGS.
[25] Alexander Herzog,et al. Robot arm pose estimation through pixel-wise part classification , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[26] Pat Hanrahan,et al. SceneGrok: inferring action maps in 3D environments , 2014, ACM Trans. Graph..
[27] Hao Li,et al. Mobility Fitting using 4D RANSAC , 2016, Comput. Graph. Forum.
[28] Leonidas J. Guibas,et al. Understanding and Exploiting Object Interaction Landscapes , 2016, ACM Trans. Graph..
[29] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[30] Salman Khan,et al. Visual Affordance and Function Understanding , 2018, ACM Comput. Surv..
[31] Sinisa Todorovic,et al. A Multi-scale CNN for Affordance Segmentation in RGB Images , 2016, ECCV.
[32] Wilmot Li,et al. Illustrating how mechanical assemblies work , 2010, CACM.
[33] Tamara L. Berg,et al. Learning Temporal Transformations from Time-Lapse Videos , 2016, ECCV.