Fetching the paper…
Reading the bibliography…
Recent work has shown good recognition results in 3D object recognition using 3D convolutional networks.
Extended gaussian images
Berthold Klaus Paul Horn · 1984
Earlier work this paper cites.
Efficient Algorithms for Local and Global Accessibility Shading
Gavin Miller · 1994
Earlier work this paper cites.
Using spin images for efficient object recognition in cluttered 3D scenes
Andrew E Johnson and Martial Hebert · 1999
Earlier work this paper cites.
3D shape matching with 3D shape contexts
Marcel Körtgen, Gil-Joo Park, Marcin Novotni, and Reinhard Klein · 2003
Earlier work this paper cites.
Object detection from large-scale 3d datasets using bottom-up and top-down descriptors
Alexander Patterson IV, Philippos Mordohai, and Kostas Daniilidis · 2008
Earlier work this paper cites.
Learning informative point classes for the acquisition of object model maps
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow, and Michael Beetz · 2008
Earlier work this paper cites.
Fast point feature histograms (FPFH) for 3D registration
Radu Bogdan Rusu, Nico Blodow, and Michael Beetz · 2009
Earlier work this paper cites.
Ssd: Smooth signed distance surface reconstruction
Fatih Calakli and Gabriel Taubin · 2011
Earlier work this paper cites.
Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Indoor segmentation and support inference from RGBD images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
Earlier work this paper cites.
Convolutional-recursive deep learning for 3d object classification
Richard Socher, Brody Huval, Bharath Bath, Christopher D. Manning, and Andrew Y. Ng · 2012
Earlier work this paper cites.
Unsupervised feature learning for RGB-D based object recognition
Liefeng Bo, Xiaofeng Ren, and Dieter Fox · 2013
Earlier work this paper cites.
Indoor semantic segmentation using depth information
Camille Couprie, Clément Farabet, Laurent Najman, and Yann LeCun · 2013
Earlier work this paper cites.
Unsupervised Feature Learning for Classification of Outdoor 3D Scans
Mark De Deuge, Field Robotics, Alastair Quadros, Calvin Hung, and Bertrand Douillard · 2013
Cited alongside, same era.
Learning hierarchical features for scene labeling
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2013
Cited alongside, same era.
SUN3D: A database of big spaces reconstructed using sfm and object labels
Jianxiong Xiao, Andrew Owens, and Antonio Torralba · 2013
Cited alongside, same era.
Performance of global descriptors for velodyne-based urban object recognition
Tongtong Chen, Bin Dai, Daxue Liu, and Jinze Song · 2014
Cited alongside, same era.
C3D: Generic Features for Video Analysis
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2014
Cited alongside, same era.
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Shuran Song and Jianxiong Xiao · 2015
Later among the works it cites.
SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite
Shuran Song, Samuel P Lichtenberg, and Jianxiong Xiao · 2015
Later among the works it cites.
Multi-view convolutional neural networks for 3D shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
Later among the works it cites.
3D ShapeNets: A Deep Representation for Volumetric Shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
Later among the works it cites.
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock, Theodore Lim, J. M. Ritchie, and Nick Weston · 2016
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yulan Guo, Mohammed Bennamoun, Ferdous Sohel, Min Lu, and Jianwei Wan · 2014
Cited alongside, same era.
Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection
A. González, G. Villalonga, J. Xu, D. Vázquez, J. Amores, and A. M. López · 2015
Cited alongside, same era.
Aligning 3D Models to RGB-D Images of Cluttered Scenes
Saurabh Gupta, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2015
Cited alongside, same era.
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang, Yi Yang, Yafeng Deng, and Yinan Yu · 2015
Cited alongside, same era.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
Cited alongside, same era.
VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
Daniel Maturana and Sebastian Scherer · 2015
Cited alongside, same era.
Unsupervised Generation of a Viewpoint Annotated Car Dataset from Videos
Nima Sedaghat and Thomas Brox · 2015
Cited alongside, same era.
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2016
Closest in time.
PointNet: A 3D Convolutional Neural Network for real-time object class recognition
A. Garcia-Garcia, F. Gomez-Donoso, J. Garcia-Rodriguez, S. Orts-Escolano, M. Cazorla, and J. Azorin-Lopez · 2016
Closest in time.
FusionNet: 3D Object Classification Using Multiple Data Representations
Vishakh Hegde and Reza Zadeh · 2016
Closest in time.
gptoolbox: Geometry processing toolbox, 2016
Alec Jacobson et al · 2016
Closest in time.
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, and Manmohan Chandraker · 2016
Closest in time.
Deep Learning with Sets and Point Clouds
Siamak Ravanbakhsh, Jeff Schneider, and Barnabas Poczos · 2016
Closest in time.
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T Freeman, and Joshua B Tenenbaum · 2016
Closest in time.