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Spatially-sparse convolutional neural networks

Spatially-sparse convolutional neural networks

22 September 2014
Benjamin Graham
ArXivPDFHTML

Papers citing "Spatially-sparse convolutional neural networks"

47 / 47 papers shown
Title
Which2comm: An Efficient Collaborative Perception Framework for 3D Object Detection
Which2comm: An Efficient Collaborative Perception Framework for 3D Object Detection
Duanrui Yu
Jing You
Xin Pei
Anqi Qu
Dingyu Wang
Shaocheng Jia
58
1
0
21 Mar 2025
Binarizing Sparse Convolutional Networks for Efficient Point Cloud
  Analysis
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
Xiuwei Xu
Ziwei Wang
Jie Zhou
Jiwen Lu
3DPC
MQ
40
6
0
27 Mar 2023
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
Jianhui Liu
Yukang Chen
Xiaoqing Ye
Zhuotao Tian
Xiao Tan
Xiaojuan Qi
3DPC
128
34
0
28 Sep 2022
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object
  Detection and Tracking
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking
JunYoung Gwak
Silvio Savarese
Jeannette Bohg
VOT
30
13
0
22 Aug 2022
Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation
Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation
Hanyu Shi
Wei Jiacheng
Hao Wang
Liu Fayao
Lin Guosheng
3DPC
38
3
0
11 Jul 2022
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
Zhi Tian
Xiangxiang Chu
Xiaoming Wang
Xiaolin K. Wei
Chunhua Shen
3DPC
27
97
0
27 May 2022
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer
  Learning in Gridded Geo-Spatial Processes
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger
M. Neun
Henry Martin
Pedro Herruzo
M. Spanring
...
Fei Tang
A. Gruca
Michael K Kopp
David P. Kreil
Sepp Hochreiter
48
19
0
31 Mar 2022
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial
  Attention
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
Sheng Deng
Zhihao Liang
Lin Sun
Kui Jia
3DPC
11
76
0
18 Mar 2022
Survey and Systematization of 3D Object Detection Models and Methods
Survey and Systematization of 3D Object Detection Models and Methods
Moritz Drobnitzky
J. Friederich
Bernhard Egger
Patrick Zschech
3DPC
29
11
0
23 Jan 2022
Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and
  Sparse-UNet
Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet
Bo Wang
R. Mohajerpoor
Chen Cai
Inhi Kim
H. Vu
21
3
0
10 Nov 2021
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
35
3
0
06 Oct 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
31
115
0
02 Jan 2021
Cirrus: A Long-range Bi-pattern LiDAR Dataset
Cirrus: A Long-range Bi-pattern LiDAR Dataset
Ze Wang
Sihao Ding
Yuchen Li
J. Fenn
Sohini Roychowdhury
Andreas Wallin
Lane Martin
Scott Ryvola
Guillermo Sapiro
Qiang Qiu
3DPC
3DV
30
27
0
05 Dec 2020
Efficient Neighbourhood Consensus Networks via Submanifold Sparse
  Convolutions
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
Ignacio Rocco
Relja Arandjelović
Josef Sivic
38
170
0
22 Apr 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han
Tian Zheng
Lan Xu
Lu Fang
3DPC
160
257
0
14 Mar 2020
Indoor Scene Recognition in 3D
Indoor Scene Recognition in 3D
Shengyu Huang
Mikhail (Misha) Usvyatsov
Konrad Schindler
3DV
3DPC
26
19
0
28 Feb 2020
Training Binary Neural Networks using the Bayesian Learning Rule
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDL
MQ
32
40
0
25 Feb 2020
SMASH: Co-designing Software Compression and Hardware-Accelerated
  Indexing for Efficient Sparse Matrix Operations
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations
Konstantinos Kanellopoulos
Nandita Vijaykumar
Christina Giannoula
Roknoddin Azizi
Skanda Koppula
Nika Mansouri-Ghiasi
Taha Shahroodi
Juan Gómez Luna
O. Mutlu
21
79
0
23 Oct 2019
Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Sketch-Specific Data Augmentation for Freehand Sketch Recognition
Ying Zheng
H. Yao
Xiaoshuai Sun
Shengping Zhang
Sicheng Zhao
Fatih Porikli
30
15
0
14 Oct 2019
epBRM: Improving a Quality of 3D Object Detection using End Point Box
  Regression Module
epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module
K. Shin
Masayoshi Tomizuka
3DPC
36
4
0
27 Sep 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network
  Optimization
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
27
110
0
05 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
Partial Scanning Transmission Electron Microscopy with Deep Learning
Jeffrey M. Ede
R. Beanland
MedIm
23
22
0
31 May 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
78
1,759
0
18 Apr 2019
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds
Ali K. Thabet
Humam Alwassel
Guohao Li
3DPC
39
28
0
30 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Adrian Dalca
John Guttag
M. Sabuncu
DRL
23
13
0
08 Mar 2019
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
Tianjia Shao
Yifan Yang
Y. Weng
Qiming Hou
Kun Zhou
3DV
36
29
0
30 Mar 2018
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang
Weiyue Wang
Ulrich Neumann
3DPC
44
452
0
13 Feb 2018
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
59
824
0
22 Aug 2017
Rethinking Reprojection: Closing the Loop for Pose-aware
  ShapeReconstruction from a Single Image
Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image
Rui Zhu
Hamed Kiani Galoogahi
Chaoyang Wang
Simon Lucey
3DV
23
90
0
15 Jul 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
25
5
0
08 Jun 2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation
  in Histopathology Images
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
L. Hou
Vu Nguyen
Dimitris Samaras
Tahsin M. Kurc
Yi Gao
Tianhao Zhao
Joel H. Saltz
MedIm
35
143
0
03 Apr 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
26
288
0
25 Mar 2017
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
54
1,846
0
22 Sep 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
521
0
21 Sep 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
23
119
0
22 Aug 2016
Genetic Architect: Discovering Genomic Structure with Learned Neural
  Architectures
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures
Laura Deming
S. Targ
Nate Sauder
Diogo Almeida
Chun Jimmie Ye
GNN
35
14
0
23 May 2016
Refining Architectures of Deep Convolutional Neural Networks
Refining Architectures of Deep Convolutional Neural Networks
S. Shankar
D. Robertson
Yani Andrew Ioannou
A. Criminisi
R. Cipolla
3DV
25
30
0
22 Apr 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,350
0
08 Feb 2016
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
32
605
0
19 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
27
31
0
11 Nov 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
62
1,671
0
22 Jul 2015
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for
  Gesture Recognition in Video
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou
Aaron van den Oord
Sander Dieleman
Mieke Van Herreweghe
J. Dambre
27
254
0
05 Jun 2015
Sparse 3D convolutional neural networks
Sparse 3D convolutional neural networks
Ben Graham
3DPC
3DV
20
199
0
12 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
32
137
0
30 Apr 2015
A Bayesian encourages dropout
A Bayesian encourages dropout
S. Maeda
BDL
43
45
0
22 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
30
517
0
18 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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