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We present OctNet, a representation for deep learning with sparse 3D data.
Geometric modeling using octree encoding
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Real time head pose estimation with random regression forests
G. Fanelli, J. Gall, and L. Van Gool · 2011
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Efficient sparse voxel octrees
S. Laine and T. Karras · 2011
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Real-time rendering and dynamic updating of 3-d volumetric data
A. Miller, V. Jain, and J. L. Mundy · 2011
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Kinectfusion: Real-time dense surface mapping and tracking
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohli, J. Shotton, S. Hodges, and A. Fitzgibbon · 2011
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Adaptive deconvolutional networks for mid and high level feature learning
M. D. Zeiler, G. W. Taylor, and R. Fergus · 2011
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Imagenet classification with deep convolutional neural networks
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Discriminatively trained templates for 3d object detection: A real-time scalable approach
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Learning 6d object pose estimation using 3d object coordinates
E. Brachmann, A. Krull, F. Michel, S. Gumhold, J. Shotton, and C. Rother · 2014
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Spatially-sparse convolutional neural networks
B. Graham · 2014
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Learning where to classify in multi-view semantic segmentation
H. Riemenschneider, A. Bódis-Szomorú, J. Weissenberg, and L. V. Gool · 2014
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Latent-class hough forests for 3d object detection and pose estimation
A. Tejani, D. Tang, R. Kouskouridas, and T. Kim · 2014
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2015
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Shapenet: An information-rich 3d model repository
A. X. Chang, T. A. Funkhouser, L. J. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
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Flownet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Haeusser, C. Hazirbas, V. Golkov, P. v.d. Smagt, D. Cremers, and T. Brox · 2015
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Deepstereo: Learning to predict new views from the world’s imagery
J. Flynn, I. Neulander, J. Philbin, and N. Snavely · 2015
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Sparse 3d convolutional neural networks
B. Graham · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Single-view reconstruction via joint analysis of image and shape collections
Q. Huang, H. Wang, and V. Koltun · 2015
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Adam: A method for stochastic optimization
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Voxnet: A 3d convolutional neural network for real-time object recognition
D. Maturana and S. Scherer · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
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Deep sliding shapes for amodal 3d object detection in RGB-D images
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Learning a predictable and generative vector representation for objects
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Deep residual learning for image recognition
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Point cloud labeling using 3d convolutional neural network
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Learning sparse high dimensional filters: Image filtering, dense crfs and bilateral neural networks
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An octree-based approach towards efficient variational range data fusion
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Multi-view convolutional neural networks for 3d shape recognition
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Towards probabilistic volumetric reconstruction using ray potentials
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Orientation-boosted voxel nets for 3d object recognition
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Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
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FPNN: field probing neural networks for 3d data
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