暂无分享,去创建一个
Franc Solina | Jaka Sircelj | Tim Oblak | Klemen Grm | Uros Petkovic | Ales Jaklic | Peter Peer | Vitomir Struc | F. Solina | V. Štruc | P. Peer | A. Jaklič | Klemen Grm | T. Oblak | Jaka Sircelj | Uros Petkovic
[1] Sebastian Thrun,et al. Towards fully autonomous driving: Systems and algorithms , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[2] Daniel Cohen-Or,et al. Generalized cylinder decomposition , 2015, ACM Trans. Graph..
[3] Ruzena Bajcsy,et al. Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[4] A.K. Jain,et al. Obtaining generic parts from range images using a multi-view represen-tation , 1994 .
[5] Franc Solina,et al. Segmentation and Reconstruction of 3D Models from a Point Cloud with Deep Neural Networks , 2018, 2018 International Conference on Information and Communication Technology Convergence (ICTC).
[6] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Franc Solina,et al. Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study , 2019, 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).
[8] Gareth Funka-Lea,et al. Segmentation, Modeling And Classification Of The Compact Objects In A Pile , 1990, Other Conferences.
[9] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[10] Jianxiong Xiao,et al. A Linear Approach to Matching Cuboids in RGBD Images , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Andreas Geiger,et al. Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Leonidas J. Guibas,et al. Learning Shape Abstractions by Assembling Volumetric Primitives , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Alex Pentland,et al. Automatic extraction of deformable part models , 1990, International Journal of Computer Vision.
[15] Franc Solina,et al. Segmentation and Recovery of Superquadrics , 2000, Computational Imaging and Vision.
[16] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] R. Bajcsy,et al. Three dimensional object representation revisited , 1987 .
[18] Liam Pedersen,et al. Science target assessment for Mars rover instrument deployment , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[19] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[20] Ruzena Bajcsy,et al. Volumetric segmentation of range images of 3D objects using superquadric models , 1993 .
[21] Frank P. Ferrie,et al. Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[22] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[23] Franc Solina,et al. Superquadrics for Segmenting and Modeling Range Data , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Jun Li,et al. Im2Struct: Recovering 3D Shape Structure from a Single RGB Image , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[26] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[27] Satoshi Suzuki,et al. 3D parts decomposition from sparse range data using information criterion , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[28] Steve B. Jiang,et al. Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy. , 2010, Medical physics.