-
1
-
-
84986331131
-
Real-time pedestrian detection with deep network cascades
-
A. Angelova, A. Krizhevsky, V. Vanhoucke, A. Ogale, and D. Ferguson. Real-time pedestrian detection with deep network cascades. In BMVC, 2015.
-
(2015)
BMVC
-
-
Angelova, A.1
Krizhevsky, A.2
Vanhoucke, V.3
Ogale, A.4
Ferguson, D.5
-
2
-
-
84938403898
-
-
CoRR, abs/1406.5774
-
H. Azizpour, A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson. From generic to specific deep representations for visual recognition. CoRR, abs/1406.5774, 2014.
-
(2014)
From Generic to Specific Deep Representations for Visual Recognition
-
-
Azizpour, H.1
Razavian, A.S.2
Sullivan, J.3
Maki, A.4
Carlsson, S.5
-
3
-
-
84959231756
-
Deepedge: A multi-scale bifurcated deep network for top-down contour detection
-
G. Bertasius, J. Shi, and L. Torresani. Deepedge: A multi-scale bifurcated deep network for top-down contour detection. In CVPR, pages 4380-4389, 2015.
-
(2015)
CVPR
, pp. 4380-4389
-
-
Bertasius, G.1
Shi, J.2
Torresani, L.3
-
4
-
-
84973862008
-
Learning complexityaware cascades for deep pedestrian detection
-
Z. Cai, M. Saberian, and N. Vasconcelos. Learning complexityaware cascades for deep pedestrian detection. In ICCV, 2015.
-
(2015)
ICCV
-
-
Cai, Z.1
Saberian, M.2
Vasconcelos, N.3
-
5
-
-
84903622275
-
Fast feature pyramids for object detection
-
P. Dollár, R. Appel, S. Belongie, and P. Perona. Fast feature pyramids for object detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 36(8):1532-1545, 2014.
-
(2014)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.36
, Issue.8
, pp. 1532-1545
-
-
Dollár, P.1
Appel, R.2
Belongie, S.3
Perona, P.4
-
6
-
-
84867876999
-
Crosstalk cascades for framerate pedestrian detection
-
P. Dollár, R. Appel, and W. Kienzle. Crosstalk cascades for framerate pedestrian detection. In ECCV, pages 645-659, 2012.
-
(2012)
ECCV
, pp. 645-659
-
-
Dollár, P.1
Appel, R.2
Kienzle, W.3
-
7
-
-
84911443425
-
Scalable object detection using deep neural networks
-
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov. Scalable object detection using deep neural networks. In CVPR, pages 2155-2162, 2014.
-
(2014)
CVPR
, pp. 2155-2162
-
-
Erhan, D.1
Szegedy, C.2
Toshev, A.3
Anguelov, D.4
-
8
-
-
77951298115
-
The pascal visual object classes (VOC) challenge
-
M. Everingham, L. J. V. Gool, C. K. I. Williams, J. M. Winn, and A. Zisserman. The pascal visual object classes (VOC) challenge. International Journal of Computer Vision, 88(2):303-338, 2010.
-
(2010)
Ternational Journal of Computer Vision
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Gool, L.J.V.2
Williams, C.K.I.3
Winn, J.M.4
Zisserman, A.5
-
9
-
-
77955999401
-
Cascade object detection with deformable part models
-
P. F. Felzenszwalb, R. B. Girshick, and D. A. McAllester. Cascade object detection with deformable part models. In CVPR, pages 2241-2248, 2010.
-
(2010)
CVPR
, pp. 2241-2248
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.A.3
-
10
-
-
0001963082
-
A short introduction to boosting
-
Y. Freund, R. Schapire, and N. Abe. A short introduction to boosting. Journal-Japanese Society For Artificial Intelligence, 14(771-780):1612, 1999.
-
(1999)
Journal-Japanese Society for Artificial Intelligence
, vol.14
, Issue.771-780
, pp. 1612
-
-
Freund, Y.1
Schapire, R.2
Abe, N.3
-
12
-
-
84973867067
-
DeepProposal: Hunting objects by cascading deep convolutional layers
-
A. Ghodrati, A. Diba, M. Pedersoli, T. Tuytelaars, and L. Van Gool. DeepProposal: Hunting objects by cascading deep convolutional layers. In ICCV, 2015.
-
(2015)
ICCV
-
-
Ghodrati, A.1
Diba, A.2
Pedersoli, M.3
Tuytelaars, T.4
Van Gool, L.5
-
13
-
-
84955316677
-
-
arXiv preprint arXiv:1504.08083
-
R. Girshick. Fast R-CNN. arXiv preprint arXiv:1504.08083, 2015.
-
(2015)
Fast R-CNN
-
-
Girshick, R.1
-
14
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, pages 580-587, 2014.
-
(2014)
CVPR
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
15
-
-
84959236250
-
Hypercolumns for object segmentation and fine-grained localization
-
B. Hariharan, P. A. Arbeláez, R. B. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. In CVPR, pages 447-456, 2015.
-
(2015)
CVPR
, pp. 447-456
-
-
Hariharan, B.1
Arbeláez, P.A.2
Girshick, R.B.3
Malik, J.4
-
16
-
-
84906508687
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, pages 346-361. 2014.
-
(2014)
ECCV
, pp. 346-361
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
19
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
20
-
-
84943645147
-
-
CoRR, abs/1409.5185
-
C. Lee, S. Xie, P. W. Gallagher, Z. Zhang, and Z. Tu. Deeplysupervised nets. CoRR, abs/1409.5185, 2014.
-
(2014)
Deeplysupervised Nets
-
-
Lee, C.1
Xie, S.2
Gallagher, P.W.3
Zhang, Z.4
Tu, Z.5
-
21
-
-
84941368895
-
A convolutional neural network cascade for face detection
-
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua. A convolutional neural network cascade for face detection. In CVPR, pages 5325-5334, 2015.
-
(2015)
CVPR
, pp. 5325-5334
-
-
Li, H.1
Lin, Z.2
Shen, X.3
Brandt, J.4
Hua, G.5
-
22
-
-
84956981335
-
The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification
-
L. Liu, C. Shen, and A. van den Hengel. The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. In CVPR, pages 4749-4757, 2015.
-
(2015)
CVPR
, pp. 4749-4757
-
-
Liu, L.1
Shen, C.2
Hengel Den A.Van3
-
23
-
-
84945230598
-
Fully convolutional networks for semantic segmentation
-
J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. In CVPR, pages 3431-3440, 2015.
-
(2015)
CVPR
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
24
-
-
84898776600
-
Handling occlusions with franken-classifiers
-
M. Mathias, R. Benenson, R. Timofte, and L. J. V. Gool. Handling occlusions with franken-classifiers. In ICCV, pages 1505-1512, 2013.
-
(2013)
ICCV
, pp. 1505-1512
-
-
Mathias, M.1
Benenson, R.2
Timofte, R.3
Gool, L.J.V.4
-
26
-
-
84959496883
-
Learning to detect vehicles by clustering appearance patterns
-
E. Ohn-Bar and M. M. Trivedi. Learning to detect vehicles by clustering appearance patterns. T-ITS, 2015.
-
(2015)
T-ITS
-
-
Ohn-Bar, E.1
Trivedi, M.M.2
-
27
-
-
84952047704
-
-
CoRR, abs/1412.5661
-
W. Ouyang, X. Wang, X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, C. C. Loy, and X. Tang. Deepid-net: Deformable deep convolutional neural networks for object detection. CoRR, abs/1412.5661, 2014.
-
(2014)
Deepid-net: Deformable Deep Convolutional Neural Networks for Object Detection
-
-
Ouyang, W.1
Wang, X.2
Zeng, X.3
Qiu, S.4
Luo, P.5
Tian, Y.6
Li, H.7
Yang, S.8
Wang, Z.9
Loy, C.C.10
Tang, X.11
-
28
-
-
84960851889
-
Multi-view and 3D deformable part models
-
B. Pepik, M. Stark, P. V. Gehler, and B. Schiele. Multi-view and 3D deformable part models. IEEE Trans. Pattern Anal. Mach. Intell., 37(11):2232-2245, 2015.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.37
, Issue.11
, pp. 2232-2245
-
-
Pepik, B.1
Stark, M.2
Gehler, P.V.3
Schiele, B.4
-
29
-
-
84955283951
-
-
CoRR, abs/1506.01497
-
S. Ren, K. He, R. B. Girshick, and J. Sun. Faster R-CNN: towards real-time object detection with region proposal networks. CoRR, abs/1506.01497, 2015.
-
(2015)
Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks
-
-
Ren, S.1
He, K.2
Girshick, R.B.3
Sun, J.4
-
30
-
-
84947041871
-
Image net large scale visual recognition challenge
-
April
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. International Journal of Computer Vision (IJCV), pages 1-42, April 2015.
-
(2015)
Ternational Journal of Computer Vision (IJCV)
, pp. 1-42
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
31
-
-
84906347546
-
-
CoRR, abs/1312.6229
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. Le-Cun. Overfeat: Integrated recognition, localization and detection using convolutional networks. CoRR, abs/1312.6229, 2013.
-
(2013)
Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
Le-Cun, Y.6
-
33
-
-
84887364811
-
Deep convolutional network cascade for facial point detection
-
Y. Sun, X. Wang, and X. Tang. Deep convolutional network cascade for facial point detection. In CVPR, pages 3476-3483, 2013.
-
(2013)
CVPR
, pp. 3476-3483
-
-
Sun, Y.1
Wang, X.2
Tang, X.3
-
34
-
-
84898989329
-
Deep neural networks for object detection
-
C. Szegedy, A. Toshev, and D. Erhan. Deep neural networks for object detection. In NIPS, pages 2553-2561, 2013.
-
(2013)
NIPS
, pp. 2553-2561
-
-
Szegedy, C.1
Toshev, A.2
Erhan, D.3
-
35
-
-
84973883645
-
Deep learning strong parts for pedestrian detection
-
Y. Tian, P. Luo, X. Wang, and X. Tang. Deep learning strong parts for pedestrian detection. In ICCV, 2015.
-
(2015)
ICCV
-
-
Tian, Y.1
Luo, P.2
Wang, X.3
Tang, X.4
-
36
-
-
0035680116
-
Rapid object detection using a boosted cascade of simple features
-
P. A. Viola and M. J. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, pages 511-518, 2001.
-
(2001)
CVPR
, pp. 511-518
-
-
Viola, P.A.1
Jones, M.J.2
-
37
-
-
84898769710
-
Regionlets for generic object detection
-
X. Wang, M. Yang, S. Zhu, and Y. Lin. Regionlets for generic object detection. In ICCV, pages 17-24, 2013.
-
(2013)
ICCV
, pp. 17-24
-
-
Wang, X.1
Yang, M.2
Zhu, S.3
Lin, Y.4
-
38
-
-
84959238956
-
Data-driven 3D voxel patterns for object category recognition
-
Y. Xiang, W. Choi, Y. Lin, and S. Savarese. Data-driven 3D voxel patterns for object category recognition. In CVPR, 2015.
-
(2015)
CVPR
-
-
Xiang, Y.1
Choi, W.2
Lin, Y.3
Savarese, S.4
-
40
-
-
84959226659
-
A discriminative CNN video representation for event detection
-
Z. Xu, Y. Yang, and A. G. Hauptmann. A discriminative CNN video representation for event detection. In CVPR, pages 1798-1807, 2015.
-
(2015)
CVPR
, pp. 1798-1807
-
-
Xu, Z.1
Yang, Y.2
Hauptmann, A.G.3
-
41
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In ECCV, pages 818-833. 2014.
-
(2014)
ECCV
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
42
-
-
84959196836
-
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction
-
Y. Zhang, K. Sohn, R. Villegas, G. Pan, and H. Lee. Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. In CVPR, pages 249-258, 2015.
-
(2015)
CVPR
, pp. 249-258
-
-
Zhang, Y.1
Sohn, K.2
Villegas, R.3
Pan, G.4
Lee, H.5
-
43
-
-
85083952996
-
Object detectors emerge in deep scene cnns
-
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba. Object detectors emerge in deep scene cnns. In ICLR, 2015.
-
(2015)
ICLR
-
-
Zhou, B.1
Khosla, A.2
Lapedriza, A.3
Oliva, A.4
Torralba, A.5
-
44
-
-
84959233955
-
SegDeepM: Exploiting segmentation and context in deep neural networks for object detection
-
Y. Zhu, R. Urtasun, R. Salakhutdinov, and S. Fidler. segDeepM: Exploiting segmentation and context in deep neural networks for object detection. In CVPR, pages 4703-4711, 2015.
-
(2015)
CVPR
, pp. 4703-4711
-
-
Zhu, Y.1
Urtasun, R.2
Salakhutdinov, R.3
Fidler, S.4
-
45
-
-
84906489617
-
Edge boxes: Locating object proposals from edges
-
C. L. Zitnick and P. Dollár. Edge boxes: Locating object proposals from edges. In ECCV, pages 391-405. 2014.
-
(2014)
ECCV
, pp. 391-405
-
-
Zitnick, C.L.1
Dollár, P.2
|