ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1506.02025
  4. Cited By
Spatial Transformer Networks

Spatial Transformer Networks

5 June 2015
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
ArXivPDFHTML

Papers citing "Spatial Transformer Networks"

50 / 1,105 papers shown
Title
Deep Model-Based 6D Pose Refinement in RGB
Deep Model-Based 6D Pose Refinement in RGB
Fabian Manhardt
Wadim Kehl
Nassir Navab
Federico Tombari
3DH
25
167
0
07 Oct 2018
A Comprehensive Survey of Deep Learning for Image Captioning
A Comprehensive Survey of Deep Learning for Image Captioning
Md Zakir Hossain
Ferdous Sohel
M. Shiratuddin
Hamid Laga
VLM
3DV
45
760
0
06 Oct 2018
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using
  Neural Networks
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks
Evelyn Chee
Zhenzhou Wu
MedIm
17
64
0
05 Oct 2018
Learning Compressed Transforms with Low Displacement Rank
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
27
40
0
04 Oct 2018
Polar Feature Based Deep Architectures for Automatic Modulation
  Classification Considering Channel Fading
Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading
Chieh-Fang Teng
Ching-Chun Liao
Chun-Hsiang Chen
A. Wu
6
23
0
04 Oct 2018
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image
  Transformation
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
Mauricio Orbes-Arteaga
Lauge Sørensen
M. Jorge Cardoso
Marc Modat
Sebastien Ourselin
Stefan Sommer
Mads Nielsen
Christian Igel
A. Pai
DiffM
MedIm
16
3
0
03 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Andrei Ambrus
Adrien Gaidon
SupR
MDE
16
216
0
03 Oct 2018
Deformable Object Tracking with Gated Fusion
Deformable Object Tracking with Gated Fusion
Wenxi Liu
Yibing Song
Dengsheng Chen
Shengfeng He
Yuanlong Yu
Tao Yan
Gerhard Hancke
Rynson W. H. Lau
VOT
27
32
0
27 Sep 2018
Weakly-Supervised Learning of Metric Aggregations for Deformable Image
  Registration
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration
Enzo Ferrante
P. Dokania
Rafael Marini Silva
Nikos Paragios
11
22
0
24 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces
Fast Geometrically-Perturbed Adversarial Faces
Ali Dabouei
Sobhan Soleymani
J. Dawson
Nasser M. Nasrabadi
CVBM
AAML
29
65
0
24 Sep 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
21
46
0
21 Sep 2018
Faster RER-CNN: application to the detection of vehicles in aerial
  images
Faster RER-CNN: application to the detection of vehicles in aerial images
Jean Ogier du Terrail
F. Jurie
ObjD
19
28
0
20 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
A Deep Learning Framework for Unsupervised Affine and Deformable Image
  Registration
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
B. D. de Vos
F. Berendsen
M. Viergever
Hessam Sokooti
Marius Staring
Ivana Isgum
MedIm
25
672
0
17 Sep 2018
Maximum-Entropy Fine-Grained Classification
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey
O. Gupta
Ramesh Raskar
Nikhil Naik
19
156
0
16 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian V. Dalca
MedIm
56
1,544
0
14 Sep 2018
Linear and Deformable Image Registration with 3D Convolutional Neural
  Networks
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Stergios Christodoulidis
M. Sahasrabudhe
Maria Vakalopoulou
G. Chassagnon
M. Revel
S. Mougiakakou
Nikos Paragios
MedIm
14
40
0
13 Sep 2018
Inverse-Consistent Deep Networks for Unsupervised Deformable Image
  Registration
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Jun Zhang
MedIm
21
105
0
10 Sep 2018
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Adrià Recasens
Petr Kellnhofer
Simon Stent
Wojciech Matusik
Antonio Torralba
28
131
0
10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
72
2,420
0
06 Sep 2018
Dense Pose Transfer
Dense Pose Transfer
Natalia Neverova
R. Güler
Iasonas Kokkinos
3DH
6
208
0
06 Sep 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task
  Consistency
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou
Zelun Luo
Jia-Bin Huang
MDE
38
472
0
05 Sep 2018
Learning to Navigate for Fine-grained Classification
Learning to Navigate for Fine-grained Classification
Ze Yang
Tiange Luo
Dong Wang
Zhiqiang Hu
Jun Gao
Liwei Wang
17
444
0
02 Sep 2018
An Adaptive Locally Connected Neuron Model: Focusing Neuron
An Adaptive Locally Connected Neuron Model: Focusing Neuron
F. Boray Tek
13
5
0
31 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
P. Frossard
33
3
0
21 Aug 2018
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape
  Classification
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
Song-Le Chen
Lintao Zheng
Yan Zhang
Zhixin Sun
Kai Xu
3DPC
3DV
26
73
0
20 Aug 2018
Learning Invariances using the Marginal Likelihood
Learning Invariances using the Marginal Likelihood
Mark van der Wilk
Matthias Bauer
S. T. John
J. Hensman
36
83
0
16 Aug 2018
Occlusion Resistant Object Rotation Regression from Point Cloud Segments
Occlusion Resistant Object Rotation Regression from Point Cloud Segments
Ge Gao
M. Lauri
Jianwei Zhang
Simone Frintrop
3DPC
15
24
0
16 Aug 2018
Detection and Segmentation of Manufacturing Defects with Convolutional
  Neural Networks and Transfer Learning
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning
M. Ferguson
Ak Ronay
Y. T. Lee
K. Law
16
174
0
07 Aug 2018
Actor-Centric Relation Network
Actor-Centric Relation Network
Chen Sun
Abhinav Shrivastava
Carl Vondrick
Kevin Patrick Murphy
Rahul Sukthankar
Cordelia Schmid
41
220
0
28 Jul 2018
The Variational Homoencoder: Learning to learn high capacity generative
  models from few examples
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt
Maxwell Nye
Andreea Gane
Tommi Jaakkola
J. Tenenbaum
BDL
DRL
GAN
31
68
0
24 Jul 2018
Compositional GAN: Learning Image-Conditional Binary Composition
Compositional GAN: Learning Image-Conditional Binary Composition
S. Azadi
Deepak Pathak
Sayna Ebrahimi
Trevor Darrell
GAN
CoGe
37
26
0
19 Jul 2018
Visual Affordance and Function Understanding: A Survey
Visual Affordance and Function Understanding: A Survey
Mohammed Hassanin
Salman Khan
M. Tahtali
24
48
0
18 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
18
839
0
17 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
100
16,142
0
17 Jul 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
42
3,954
0
15 Jul 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas L. Griffiths
26
68
0
12 Jul 2018
Weakly-Supervised Convolutional Neural Networks for Multimodal Image
  Registration
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
Yipeng Hu
Marc Modat
Eli Gibson
Wenqi Li
N. Ghavami
...
M. Emberton
Sébastien Ourselin
J. A. Noble
D. Barratt
Tom Kamiel Magda Vercauteren
57
381
0
09 Jul 2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic
  Correspondence
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon
Seungryong Kim
Dongbo Min
Kwanghoon Sohn
23
62
0
09 Jul 2018
Adversarial Learning for Fine-grained Image Search
Adversarial Learning for Fine-grained Image Search
Kevin Qinghong Lin
Fan Yang
Qiaosong Wang
Robinson Piramuthu
GAN
30
10
0
06 Jul 2018
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting
  Text with Arbitrary Shapes
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Pengyuan Lyu
Minghui Liao
Cong Yao
Wenhao Wu
X. Bai
39
592
0
06 Jul 2018
Crowd Counting using Deep Recurrent Spatial-Aware Network
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu
Hongjun Wang
Guanbin Li
Wanli Ouyang
Liang Lin
HAI
24
190
0
02 Jul 2018
Towards real-time unsupervised monocular depth estimation on CPU
Towards real-time unsupervised monocular depth estimation on CPU
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
MDE
21
156
0
29 Jun 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
59
1,157
0
27 Jun 2018
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D
  Motion Understanding
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
Zhenheng Yang
Peng Wang
Yang Wang
Wenyuan Xu
Ram Nevatia
3DPC
22
109
0
27 Jun 2018
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional
  Neural Networks
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks
Youbao Tang
Adam P. Harrison
M. Bagheri
Jing Xiao
Ronald M. Summers
MedIm
24
33
0
25 Jun 2018
Segmentation of Photovoltaic Module Cells in Uncalibrated
  Electroluminescence Images
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images
S. Deitsch
C. Buerhop‐Lutz
E. Sovetkin
A. Steland
Andreas Maier
F. Gallwitz
Christian Riess
24
62
0
18 Jun 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and
  Appearance
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu
M. Sahasrabudhe
R. Güler
Dimitris Samaras
Nikos Paragios
Iasonas Kokkinos
CVBM
22
199
0
18 Jun 2018
Deformable Generator Networks: Unsupervised Disentanglement of
  Appearance and Geometry
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
X. Xing
Ruiqi Gao
Tian Han
Song-Chun Zhu
Ying Nian Wu
DRL
19
28
0
16 Jun 2018
Previous
123...171819...212223
Next