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FusionNet: 3D Object Classification Using Multiple Data Representations
v1v2v3v4 (latest)

FusionNet: 3D Object Classification Using Multiple Data Representations

19 July 2016
Vishakh Hegde
R. Zadeh
    3DPC
ArXiv (abs)PDFHTML

Papers citing "FusionNet: 3D Object Classification Using Multiple Data Representations"

15 / 15 papers shown
Title
Steerable Transformers for Volumetric Data
Steerable Transformers for Volumetric Data
Soumyabrata Kundu
Risi Kondor
LLMSVViT
95
1
0
24 May 2024
MVTN: Learning Multi-View Transformations for 3D Understanding
MVTN: Learning Multi-View Transformations for 3D Understanding
Abdullah Hamdi
Faisal AlZahrani
Silvio Giancola
Guohao Li
3DV3DPC
134
6
0
27 Dec 2022
Pairwise Decomposition of Image Sequences for Active Multi-View
  Recognition
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
Edward Johns
Stefan Leutenegger
Andrew J. Davison
70
227
0
26 May 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC3DV
247
1,567
0
12 Apr 2016
Matrix Computations and Optimization in Apache Spark
Matrix Computations and Optimization in Apache Spark
R. Zadeh
Xiangrui Meng
A. Ulanov
Burak Yavuz
Li Pu
Shivaram Venkataraman
Evan R. Sparks
A. Staple
Matei A. Zaharia
64
102
0
08 Sep 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
751
37,085
0
08 Jun 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
176
3,223
0
05 May 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
238
8,363
0
06 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
505
43,717
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
300
14,717
0
20 Jun 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
309
6,290
0
16 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
303
26,247
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
195
4,954
0
06 Oct 2013
Dimension Independent Matrix Square using MapReduce
Dimension Independent Matrix Square using MapReduce
R. Zadeh
Gunnar Carlsson
108
21
0
04 Apr 2013
1