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Deep Convolutional Neural Networks (DCNN) have been proven to be effective for various computer vision problems.
Pose Estimation for Category Specific Multiview Object Localization
M. Ozuysal, V. Lepetit, and P. Fua · 2009
Earlier work this paper cites.
Monocular 3D Pose Estimation and Tracking by Detection
M. Andriluka, S. Roth, and B. Schiele · 2010
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Object detection with discriminatively trained part-based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Regression from Local Features for Viewpoint and Pose Estimation
M. Torki and A. Elgammal · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Teaching 3D geometry to deformable part models
B. Pepik, M. Stark, P. Gehler, and B. Schiele · 2012
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Class Generative Models based on Feature Regression for Pose Estimation of Object Categories
M. Fenzi, L. Leal-taixé, B. Rosenhahn, and J. Ostermann · 2013
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Joint Object and Pose Recognition using Homeomorphic Manifold Analysis
H. Zhang, T. El-gaaly, A. Elgammal, and Z. Jiang · 2013
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Untangling object-view manifold for multiview recognition and pose estimation
A. Bakry and A. Elgammal · 2014
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2014
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Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
X. Chen and A. Yuille · 2014
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Embedding Geometry in Generative Models for Pose Estimation of Object Categories
M. Fenzi and J. Ostermann · 2014
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Is 2D Information Enough For Viewpoint Estimation?
A. Ghodrati, M. Pedersoli, and T. Tuytelaars · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Growing Regression Forests by Classification: Applications to Object Pose Estimation
K. Hara and R. Chellappa · 2014
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Parameterizing Object Detectors in the Continuous Pose Space
K. He, L. Sigal, and S. Sclaroff · 2014
Cited alongside, same era.
Caffe: Convolutional Architecture for Fast Feature Embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
Fully Convolutional Networks for Semantic Segmentation
J. Long, E. Shelhamer, and T. Darrell · 2014
Cited alongside, same era.
Recurrent Convolutional Neural Networks for Scene Labeling
P. O. Pinheiro and R. C. Com · 2014
Cited alongside, same era.
All together now : Simultaneous Object Detection and Continuous Pose Estimation using a Hough Forest with Probabilistic Locally Enhanced Voting
C. Redondo-cabrera, R. López-Sastre, and T. Tuytelaars · 2014
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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From generic to specific deep representations for visual recognition
H. Azizpour, A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson · 2015
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Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors
M. Fenzi, L. Leal-taixé, J. Ostermann, and T. Tuytelaars · 2015
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Fast R-CNN
R. Girshick · 2015
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Learning and Transferring Deep ConvNet Representations with Group-Sparse Factorization
L. Gui and L.-p. Morency · 2015
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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O. Russakovsky, J. Deng, and H. Su · 2014
Cited alongside, same era.
OverFeat : Integrated Recognition , Localization and Detection using Convolutional Networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Ferbus, and Y. LeCun · 2014
Cited alongside, same era.
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Sharif, R. Hossein, A. Josephine, S. Stefan, and K. T. H. Royal · 2014
Cited alongside, same era.
DeepFace : Closing the Gap to Human-Level Performance in Face Verification
Y. Taigman, M. A. Ranzato, T. Aviv, and M. Park · 2014
Cited alongside, same era.
Multiview feature distributions for object detection and continuous pose estimation
D. Teney and J. Piater · 2014
Cited alongside, same era.
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
Cited alongside, same era.
Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
Cited alongside, same era.
Learning Deconvolution Network for Semantic Segmentation
H. Noh, S. Hong, and B. Han · 2015
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Render for CNN: Viewpoint estimation in images using CNNs trained with rendered 3D model views
H. Su, C. R. Qi, Y. Li, and L. J. Guibas · 2015
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Going deeper with convolutions
C. Szegedy, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Viewpoints and keypoints
S. Tulsiani and J. Malik · 2015
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Growing Regression Tree Forests by Classification for Continuous Object Pose Estimation
K. Hara and R. Chellappa · 2016
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Crafting a multi-task CNN for viewpoint estimation
F. Massa, R. Marlet, and M. Aubry · 2016
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R. Zhang, P. Isola, and A. A. Efros · 2016
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