-
1
-
-
84855358881
-
Harmony potentials
-
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer, Andrew D. Bagdanov, Joan Serrat, and Jordi Gonzalez. Harmony potentials. IJCV, pages 83-102, 2012.
-
(2012)
IJCV
, pp. 83-102
-
-
Boix, X.1
Gonfaus, J.M.2
Van De Weijer, J.3
Bagdanov, A.D.4
Serrat, J.5
Gonzalez, J.6
-
2
-
-
85083954148
-
Semantic image segmentation with deep convolutional nets and fully connected CRFs
-
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille. Semantic image segmentation with deep convolutional nets and fully connected CRFs. ICLR, 2015.
-
(2015)
ICLR
-
-
Chen, L.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
3
-
-
84911421600
-
Detect what you can: Detecting and representing objects using holistic models and body parts
-
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, and Alan Yuille. Detect what you can: Detecting and representing objects using holistic models and body parts. In CVPR, 2014.
-
(2014)
CVPR
-
-
Chen, X.1
Mottaghi, R.2
Liu, X.3
Fidler, S.4
Urtasun, R.5
Yuille, A.6
-
4
-
-
84959184995
-
Learning to generate chairs with convolutional neural networks
-
Alexey Dosovitskiy, Jost Tobias Springenberg, and Thomas Brox. Learning to generate chairs with convolutional neural networks. In CVPR, 2015.
-
(2015)
CVPR
-
-
Dosovitskiy, A.1
Tobias Springenberg, J.2
Brox, T.3
-
5
-
-
84937964776
-
Discriminative unsupervised feature learning with convolutional neural networks
-
Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, and Thomas Brox. Discriminative unsupervised feature learning with convolutional neural networks. In NIPS, pages 766-774, 2014.
-
(2014)
NIPS
, pp. 766-774
-
-
Dosovitskiy, A.1
Tobias Springenberg, J.2
Riedmiller, M.A.3
Brox, T.4
-
6
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun. Learning hierarchical features for scene labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35 (8): 1915-1929, 2013.
-
(2013)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.35
, Issue.8
, pp. 1915-1929
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
LeCun, Y.4
-
7
-
-
84955316677
-
-
arXiv preprint arXiv: 1504. 08083
-
Ross Girshick. Fast R-CNN. ArXiv preprint arXiv: 1504. 08083, 2015.
-
(2015)
Fast R-CNN
-
-
Girshick, R.1
-
8
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
9
-
-
84906344142
-
Learning rich features from RGB-D images for object detection and segmentation
-
Saurabh Gupta, Ross B. Girshick, Pablo Andrés Arbeláez, and Jitendra Malik. Learning rich features from RGB-D images for object detection and segmentation. In ECCV, pages 345-360, 2014.
-
(2014)
ECCV
, pp. 345-360
-
-
Gupta, S.1
Girshick, R.B.2
Andrés Arbeláez, P.3
Malik, J.4
-
11
-
-
84959236250
-
Hypercolumns for object segmentation and fine-grained localization
-
Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, and Jitendra Malik. Hypercolumns for object segmentation and fine-grained localization. In CVPR, 2015.
-
(2015)
CVPR
-
-
Hariharan, B.1
Andrés Arbeláez, P.2
Girshick, R.B.3
Malik, J.4
-
12
-
-
85083953149
-
Learning human pose estimation features with convolutional networks
-
Ajrun Jain, Jonathan Tompson, Mykhaylo Andriluka, Graham W. Taylor, and Christoph Bregler. Learning human pose estimation features with convolutional networks. In ICLR, 2014.
-
(2014)
ICLR
-
-
Jain, A.1
Tompson, J.2
Andriluka, M.3
Taylor, G.W.4
Bregler, C.5
-
13
-
-
84913555165
-
-
arXiv: 1408. 5093
-
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. Caffe: Convolutional architecture for fast feature embedding. ArXiv: 1408. 5093, 2014.
-
(2014)
Caffe: Convolutional Architecture for Fast Feature Embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
14
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, pages 1097-1105, 2012.
-
(2012)
NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
16
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
nov
-
Jonathan Long, Evan Shelhamer, and Trevor Darrell. Fully convolutional networks for semantic segmentation. CVPR, nov 2015.
-
(2015)
CVPR
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
17
-
-
85088060032
-
Parsing semantic parts of cars using graphical models and segment appearance consistency
-
Wenhao Lu, Xiaochen Lian, and Alan Yuille. Parsing semantic parts of cars using graphical models and segment appearance consistency. In BMVC, 2014.
-
(2014)
BMVC
-
-
Lu, W.1
Lian, X.2
Yuille, A.3
-
18
-
-
84863059942
-
Are spatial and global constraints really necessary for segmentation
-
Aurelien Lucchi, Yunpeng Li, Xavier Boix, Kevin Smith, and Pascal Fua. Are spatial and global constraints really necessary for segmentation In ICCV, pages 9-16, 2011.
-
(2011)
ICCV
, pp. 9-16
-
-
Lucchi, A.1
Li, Y.2
Boix, X.3
Smith, K.4
Fua, P.5
-
19
-
-
84856631928
-
Object detection and segmentation from joint embedding of parts and pixels
-
Michael Maire, Stella X. Yu, and Pietro Perona. Object detection and segmentation from joint embedding of parts and pixels. In ICCV, 2011.
-
(2011)
ICCV
-
-
Maire, M.1
Yu, S.X.2
Perona, P.3
-
20
-
-
71149101357
-
Multi-class image segmentation using conditional random fields and global classification
-
New York, NY, USA. ACM
-
Nils Plath, Marc Toussaint, and Shinichi Nakajima. Multi-class image segmentation using conditional random fields and global classification. In ICML, pages 817-824, New York, NY, USA, 2009. ACM.
-
(2009)
ICML
, pp. 817-824
-
-
Plath, N.1
Toussaint, M.2
Nakajima, S.3
-
22
-
-
80052878786
-
Realtime human pose recognition in parts from a single depth image
-
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, and Andrew Blake. Realtime human pose recognition in parts from a single depth image. In CVPR, 2011.
-
(2011)
CVPR
-
-
Shotton, J.1
Fitzgibbon, A.2
Cook, M.3
Sharp, T.4
Finocchio, M.5
Moore, R.6
Kipman, A.7
Blake, A.8
-
23
-
-
84973911222
-
Part detector discovery in deep convolutional neural networks
-
Marcel Simon, Erik Rodner, and Joachim Denzler. Part detector discovery in deep convolutional neural networks. In ACCV, volume 2, pages 162-177, 2014.
-
(2014)
ACCV
, vol.2
, pp. 162-177
-
-
Simon, M.1
Rodner, E.2
Denzler, J.3
-
24
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
25
-
-
84986241851
-
Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, trainingfree
-
Niko Suenderhauf, Sareh Shirazi, Adam Jacobson, Feras Dayoub, Edward Pepperell, Ben Upcroft, and Michael Milford. Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, trainingfree. In Robotics: Science and Systems, 2015.
-
(2015)
Robotics: Science and Systems
-
-
Suenderhauf, N.1
Shirazi, S.2
Jacobson, A.3
Dayoub, F.4
Pepperell, E.5
Upcroft, B.6
Milford, M.7
-
26
-
-
84959240338
-
Efficient object localization using convolutional networks
-
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, and Christoph Bregler. Efficient object localization using convolutional networks. CVPR, 2015.
-
(2015)
CVPR
-
-
Tompson, J.1
Goroshin, R.2
Jain, A.3
LeCun, Y.4
Bregler, C.5
-
27
-
-
84977584768
-
-
CoRR, abs/1505. 02438
-
Stavros Tsogkas, Iasonas Kokkinos, George Papandreou, and Andrea Vedaldi. Semantic part segmentation with deep learning. CoRR, abs/1505. 02438, 2015.
-
(2015)
Semantic Part Segmentation with Deep Learning
-
-
Tsogkas, S.1
Kokkinos, I.2
Papandreou, G.3
Vedaldi, A.4
-
28
-
-
84956617559
-
Partbased R-CNNs for fine-grained category detection
-
Ning Zhang, Jeff Donahue, Ross Girshick, and Trevor Darrell. Partbased R-CNNs for fine-grained category detection. In ECCV, 2014.
-
(2014)
ECCV
-
-
Zhang, N.1
Donahue, J.2
Girshick, R.3
Darrell, T.4
-
29
-
-
84911443783
-
PANDA: Pose aligned networks for deep attribute modeling
-
Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, and Lubomir D. Bourdev. PANDA: pose aligned networks for deep attribute modeling. In CVPR, pages 1637-1644, 2014.
-
(2014)
CVPR
, pp. 1637-1644
-
-
Zhang, N.1
Paluri, M.2
Ranzato, M.3
Darrell, T.4
Bourdev, L.D.5
|