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We present Point-Voxel CNN (PVCNN) for efficient, fast 3D deep learning.
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, and Olaf Ronneberger · 1907
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Vision meets Robotics: The KITTI Dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Rectifier Nonlinearities Improve Neural Network Acoustic Models
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng · 2013
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Computing’s Energy Problem
Mark Horowitz · 2014
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ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool, John Tran, and William J. Dally · 2015
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy · 2015
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VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
Daniel Maturana and Sebastian Scherer · 2015
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3D ShapeNets: A Deep Representation for Volumetric Shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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3D Semantic Parsing of Large-Scale Indoor Spaces
Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Christopher Bongsoo Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, and William J Dally · 2016
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SqueezeNet: AlexNet-Level Accuracy with 50x Fewer Parameters and < 0.5MB Model Size
Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, and Kurt Keutzer · 2016
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Fixed Point Quantization of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi, and V.Sreekanth Annapureddy · 2016
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Volumetric and Multi-View CNNs for Object Classification on 3D Data
Charles Ruizhongtai Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas · 2016
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Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni, Alexandar Sax, Amir R. Zamir, and Silvio Savarese · 2017
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard, Menglong Zhu, Bo Chen, Dimitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, et al · 2017
Cited alongside, same era.
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov and Victor S Lempitsky · 2017
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Cited alongside, same era.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Cited alongside, same era.
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger · 2017
Cited alongside, same era.
Frustum PointNets for 3D Object Detection from RGB-D Data
Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J. Guibas · 2018
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz · 2018
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Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, and Raquel Urtasun · 2018
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SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang, and Ulrich Neumann · 2018
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SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
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Maxim Tatarchenko, Alexley Dosovitskiy, and Thomas Brox · 2017
Cited alongside, same era.
SEGCloud: Semantic Segmentation of 3D Point Clouds
Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, and Silvio Savarese · 2017
Cited alongside, same era.
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, and Xin Tong · 2017
Cited alongside, same era.
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, and Yurong Chen · 2017
Cited alongside, same era.
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
Cited alongside, same era.
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, and Song Han · 2018
Cited alongside, same era.
Recurrent Slice Networks for 3D Segmentation on Point Clouds
Qiangui Huang, Weiyue Wang, and Ulrich Neumann · 2018
Cited alongside, same era.
Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, and Yu Qiao · 2018
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SECOND: Sparsely Embedded Convolutional Detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2018
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou and Oncel Tuzel · 2018
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Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, and Hartwig Adam · 2019
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Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
Shiyi Lan, Ruichi Yu, Gang Yu, and Larry S. Davis · 2019
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PointPillars: Fast Encoders for Object Detection from Point Clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, and Jiong Yang · 2019
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PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, and Song Han · 2019
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Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon · 2019
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VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes
Zongji Wang and Feng Lu · 2019
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