-
1
-
-
85041477876
-
Fatal occupational injuries for selected events or exposures
-
(Accessed 10 October 2017)
-
BLS, Fatal occupational injuries for selected events or exposures. https://www.bls.gov/news.release/cfoi.t02.htm, 2016. (Accessed 10 October 2017)
-
(2016)
-
-
BLS1
-
2
-
-
85018945275
-
Top 10 Most Frequently Cited Standards
-
(Accessed 10 October 2017)
-
Occupational Safety and Health Administration, Top 10 Most Frequently Cited Standards. https://www.osha.gov/Top_Ten_Standards.html, 2016. (Accessed 10 October 2017)
-
(2016)
-
-
Occupational Safety and Health Administration1
-
3
-
-
84923121891
-
Proactive behavior-based safety management for construction safety improvement
-
Li, H., Lu, M., Hsu, S.-C., Gray, M., Huang, T., Proactive behavior-based safety management for construction safety improvement. Saf. Sci. 75 (2015), 107–117, 10.1016/j.ssci.2015.01.013.
-
(2015)
Saf. Sci.
, vol.75
, pp. 107-117
-
-
Li, H.1
Lu, M.2
Hsu, S.-C.3
Gray, M.4
Huang, T.5
-
4
-
-
84922582629
-
Proactive training system for safe and efficient precast installation
-
Li, H., Lu, M., Chan, G., Skitmore, M., Proactive training system for safe and efficient precast installation. Autom. Constr. 49 ((2015), 163–174, 10.1016/j.autcon.2014.10.010.
-
(2015)
Autom. Constr.
, vol.49
, pp. 163-174
-
-
Li, H.1
Lu, M.2
Chan, G.3
Skitmore, M.4
-
5
-
-
0038071636
-
Safety in design: a proactive approach to construction worker safety and health
-
Hecker, S., Gambatese, J.A., Safety in design: a proactive approach to construction worker safety and health. Appl. Occup. Environ. Hyg. 18 (2003), 339–342, 10.1080/10473220301369.
-
(2003)
Appl. Occup. Environ. Hyg.
, vol.18
, pp. 339-342
-
-
Hecker, S.1
Gambatese, J.A.2
-
6
-
-
67651238725
-
Human factors analysis classification system relating to human error awareness taxonomy in construction safety
-
Garrett, J.W., Teizer, J., Human factors analysis classification system relating to human error awareness taxonomy in construction safety. J. Constr. Eng. Manag. 135 (2009), 754–763, 10.1061/(ASCE)CO.1943-7862.0000034.
-
(2009)
J. Constr. Eng. Manag.
, vol.135
, pp. 754-763
-
-
Garrett, J.W.1
Teizer, J.2
-
7
-
-
84872387374
-
Identifying fall-protection training needs for residential roofing subcontractors
-
Hung, Y.H., Winchester, W.W., Smith-Jackson, T.L., Kleiner, B.M., Babski-Reeves, K.L., Mills, T.H., Identifying fall-protection training needs for residential roofing subcontractors. Appl. Ergon. 44 (2013), 372–380, 10.1016/j.apergo.2012.09.007.
-
(2013)
Appl. Ergon.
, vol.44
, pp. 372-380
-
-
Hung, Y.H.1
Winchester, W.W.2
Smith-Jackson, T.L.3
Kleiner, B.M.4
Babski-Reeves, K.L.5
Mills, T.H.6
-
8
-
-
85041475632
-
Case studies of accidents involving work at height, Singapore
-
(Accessed 10 October 2017)
-
Chow, Y.Y., Case studies of accidents involving work at height, Singapore. https://www.wshc.sg/files/wshc/upload/infostop/attachments/2017/IS201704210000000417/Case_Studies_of_Accidents_Involving_Working_at_Heights.pdf, 2017. (Accessed 10 October 2017)
-
(2017)
-
-
Chow, Y.Y.1
-
9
-
-
79960637989
-
A proactive system for real-time safety management in construction sites
-
Carbonari, A., Giretti, A., Naticchia, B., A proactive system for real-time safety management in construction sites. Autom. Constr. 20 (2011), 686–698, 10.1016/j.autcon.2011.04.019.
-
(2011)
Autom. Constr.
, vol.20
, pp. 686-698
-
-
Carbonari, A.1
Giretti, A.2
Naticchia, B.3
-
10
-
-
84866527440
-
Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data
-
Cheng, T., Teizer, J., Migliaccio, G.C., Gatti, U.C., Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data. Autom. Constr. 29 (2013), 24–39, 10.1016/j.autcon.2012.08.003.
-
(2013)
Autom. Constr.
, vol.29
, pp. 24-39
-
-
Cheng, T.1
Teizer, J.2
Migliaccio, G.C.3
Gatti, U.C.4
-
11
-
-
84937513003
-
Computer vision techniques for construction safety and health monitoring
-
Seo, J., Han, S., Lee, S., Kim, H., Computer vision techniques for construction safety and health monitoring. Adv. Eng. Inform. 29 (2015), 239–251, 10.1016/j.aei.2015.02.001.
-
(2015)
Adv. Eng. Inform.
, vol.29
, pp. 239-251
-
-
Seo, J.1
Han, S.2
Lee, S.3
Kim, H.4
-
12
-
-
84878579790
-
Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications
-
Cheng, T., Teizer, J., Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications. Autom. Constr. 34 (2013), 3–15, 10.1016/j.autcon.2012.10.017.
-
(2013)
Autom. Constr.
, vol.34
, pp. 3-15
-
-
Cheng, T.1
Teizer, J.2
-
13
-
-
0035247451
-
A survey of free-form object representation and recognition techniques
-
Campbell, R.J., Flynn, P.J., A survey of free-form object representation and recognition techniques. Comput. Vis. Image Underst. 81 (2001), 166–210, 10.1006/cviu.2000.0889.
-
(2001)
Comput. Vis. Image Underst.
, vol.81
, pp. 166-210
-
-
Campbell, R.J.1
Flynn, P.J.2
-
14
-
-
84961970561
-
A survey on object detection in optical remote sensing images
-
Cheng, G., Han, J., A survey on object detection in optical remote sensing images. ISPRS J. Photogramm. Remote Sens. 117 (2016), 11–28, 10.1016/j.isprsjprs.2016.03.014.
-
(2016)
ISPRS J. Photogramm. Remote Sens.
, vol.117
, pp. 11-28
-
-
Cheng, G.1
Han, J.2
-
15
-
-
0035305653
-
Example-based object detection in images by components
-
Mohan, A., Papageorgiou, C., Poggio, T., Example-based object detection in images by components. IEEE Trans. Pattern Anal. Mach. Intell. 23 (2001), 349–361, 10.1109/34.917571.
-
(2001)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.23
, pp. 349-361
-
-
Mohan, A.1
Papageorgiou, C.2
Poggio, T.3
-
16
-
-
84866239423
-
Detection of construction workers in video frames for automatic initialization of vision trackers
-
Park, M., Palinginis, E., Brilakis, I., Detection of construction workers in video frames for automatic initialization of vision trackers. Construction Research Congress, 2012, 10.1061/9780784412329.095.
-
(2012)
Construction Research Congress
-
-
Park, M.1
Palinginis, E.2
Brilakis, I.3
-
17
-
-
80053580033
-
Automated vision tracking of project related entities
-
Brilakis, I., Park, M.W., Jog, G., Automated vision tracking of project related entities. Adv. Eng. Inform., 25, 2011, 10.1016/j.aei.2011.01.003.
-
(2011)
Adv. Eng. Inform.
, vol.25
-
-
Brilakis, I.1
Park, M.W.2
Jog, G.3
-
18
-
-
84937515039
-
State of research in automatic as-built modelling
-
Pətrəucean, V., Armeni, I., Nahangi, M., Yeung, J., Brilakis, I., Haas, C., State of research in automatic as-built modelling. Adv. Eng. Inform. 29 (2015), 162–171, 10.1016/j.aei.2015.01.001.
-
(2015)
Adv. Eng. Inform.
, vol.29
, pp. 162-171
-
-
Pətrəucean, V.1
Armeni, I.2
Nahangi, M.3
Yeung, J.4
Brilakis, I.5
Haas, C.6
-
19
-
-
84865332778
-
Construction worker detection in video frames for initializing vision trackers
-
Park, M.W., Brilakis, I., Construction worker detection in video frames for initializing vision trackers. Autom. Constr. 28 (2012), 15–25, 10.1016/j.autcon.2012.06.001.
-
(2012)
Autom. Constr.
, vol.28
, pp. 15-25
-
-
Park, M.W.1
Brilakis, I.2
-
20
-
-
84976345341
-
Visual monitoring of civil infrastructure systems via camera-equipped unmanned aerial vehicles (UAVs): a review of related works
-
Ham, Y., Han, K.K., Lin, J.J., Golparvar-Fard, M., Visual monitoring of civil infrastructure systems via camera-equipped unmanned aerial vehicles (UAVs): a review of related works. Vis. Eng., 4(1), 2016, 10.1186/s40327-015-0029-z.
-
(2016)
Vis. Eng.
, vol.4
, Issue.1
-
-
Ham, Y.1
Han, K.K.2
Lin, J.J.3
Golparvar-Fard, M.4
-
21
-
-
84930505270
-
Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites
-
Teizer, J., Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites. Adv. Eng. Inform. 29 (2015), 225–238, 10.1016/j.aei.2015.03.006.
-
(2015)
Adv. Eng. Inform.
, vol.29
, pp. 225-238
-
-
Teizer, J.1
-
22
-
-
84966925836
-
Vision-based action recognition of construction workers using dense trajectories
-
Yang, J., Shi, Z., Wu, Z., Vision-based action recognition of construction workers using dense trajectories. Adv. Eng. Inform. 30 (2016), 327–336, 10.1016/j.aei.2016.04.009.
-
(2016)
Adv. Eng. Inform.
, vol.30
, pp. 327-336
-
-
Yang, J.1
Shi, Z.2
Wu, Z.3
-
23
-
-
2142812371
-
Robust real-time face detection
-
Viola, P., Jones, M.J., Robust real-time face detection. Int. J. Comput. Vis. 57 (2004), 137–154, 10.1023/B:VISI.0000013087.49260.fb.
-
(2004)
Int. J. Comput. Vis.
, vol.57
, pp. 137-154
-
-
Viola, P.1
Jones, M.J.2
-
24
-
-
79957565633
-
-
Du, S., Shehata, M., Badawy, W., Hard hat detection in video sequences based on face features, motion and color information, ICCRD2011–2011 3rd International Conference on Computer Research and Development, 2011, 25–29, 10.1109/ICCRD.2011.5763846.
-
(2011)
Hard hat detection in video sequences based on face features, motion and color information, ICCRD2011–2011 3rd International Conference on Computer Research and Development
, pp. 25-29
-
-
Du, S.1
Shehata, M.2
Badawy, W.3
-
25
-
-
84991062219
-
Data-driven scene parsing method for recognizing construction site objects in the whole image
-
Kim, H., Kim, K., Kim, H., Data-driven scene parsing method for recognizing construction site objects in the whole image. Autom. Constr. 71 (2016), 271–282, 10.1016/j.autcon.2016.08.018.
-
(2016)
Autom. Constr.
, vol.71
, pp. 271-282
-
-
Kim, H.1
Kim, K.2
Kim, H.3
-
26
-
-
3042535216
-
Distinctive image features from scale invariant keypoints
-
Lowe, D.G., Distinctive image features from scale invariant keypoints. Int. J. Comput. Vis. 60 (2004), 91–11020042, 10.1023/B:VISI.0000029664.99615.94.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, pp. 91-11020042
-
-
Lowe, D.G.1
-
27
-
-
33745155436
-
-
Li, F.-F., Pietro, P., A Bayesian hierarchical model for learning natural scene categories, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), 2, 2005, 524–531, 10.1109/CVPR.2005.16.
-
(2005)
A Bayesian hierarchical model for learning natural scene categories, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05)
, vol.2
, pp. 524-531
-
-
Li, F.-F.1
Pietro, P.2
-
28
-
-
79952525554
-
Automatic workflow monitoring in industrial environments
-
Veres, G., Grabner, H., Middleton, L., Van Gool, L., Automatic workflow monitoring in industrial environments. Asian Conference on Computer Vision, 2010, 200–213, 10.1007/978-3-642-19315-6_16.
-
(2010)
Asian Conference on Computer Vision
, pp. 200-213
-
-
Veres, G.1
Grabner, H.2
Middleton, L.3
Van Gool, L.4
-
29
-
-
85020893797
-
Integrated detection and tracking of workforce and equipment from construction jobsite videos
-
Zhu, Z., Ren, X., Chen, Z., Integrated detection and tracking of workforce and equipment from construction jobsite videos. Autom. Constr. 81 (2017), 161–171, 10.1016/j.autcon.2017.05.005.
-
(2017)
Autom. Constr.
, vol.81
, pp. 161-171
-
-
Zhu, Z.1
Ren, X.2
Chen, Z.3
-
30
-
-
85028274662
-
Continuous localization of construction workers via integration of detection and tracking
-
Park, M.-W., Brilakis, I., Continuous localization of construction workers via integration of detection and tracking. Autom. Constr. 72 (2016), 129–142, 10.1016/j.autcon.2016.08.039.
-
(2016)
Autom. Constr.
, vol.72
, pp. 129-142
-
-
Park, M.-W.1
Brilakis, I.2
-
31
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P., Gradient-based learning applied to document recognition. IEEE, 1998, 10.1109/5.726791.
-
(1998)
IEEE
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
32
-
-
6344235947
-
The MNIST Database of Handwritten Digits
-
(Accessed 10 January 2018)
-
LeCun, Y., Cortes, C., Burges, C.J.C., The MNIST Database of Handwritten Digits. 1998 http://yann.lecun.com/exdb/mnist/. (Accessed 10 January 2018)
-
(1998)
-
-
LeCun, Y.1
Cortes, C.2
Burges, C.J.C.3
-
33
-
-
85041431887
-
A quick review of deep learning in facial expression
-
Ghayoumi, M., A quick review of deep learning in facial expression. J. Commun. Comput., 14, 2017, 10.17265/1548-7709/2017.01.004.
-
(2017)
J. Commun. Comput.
, vol.14
-
-
Ghayoumi, M.1
-
34
-
-
85028073162
-
Real-time hand posture and gesture-based touchless automotive user interface using deep learning
-
John, V., Umetsu, M., Boyali, A., Mita, S., Imanishi, M., Sanma, N., Shibata, S., Real-time hand posture and gesture-based touchless automotive user interface using deep learning. 2017 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2017, 869–874, 10.1109/IVS.2017.7995825.
-
(2017)
2017 IEEE Intelligent Vehicles Symposium (IV), IEEE
, pp. 869-874
-
-
John, V.1
Umetsu, M.2
Boyali, A.3
Mita, S.4
Imanishi, M.5
Sanma, N.6
Shibata, S.7
-
35
-
-
85023777340
-
Auto-context convolutional neural network (Auto-Net) for brain extraction in magnetic resonance imaging
-
Salehi, S.S.M., Erdogmus, D., Gholipour, A., Auto-context convolutional neural network (Auto-Net) for brain extraction in magnetic resonance imaging. IEEE Trans. Med. Imaging, 2017, 1, 10.1109/TMI.2017.2721362.
-
(2017)
IEEE Trans. Med. Imaging
, pp. 1
-
-
Salehi, S.S.M.1
Erdogmus, D.2
Gholipour, A.3
-
36
-
-
85023749725
-
-
Zhang, Y., Chan, W., Jaitly, N., Very deep convolutional networks for end-to-end speech recognition, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2017, 4845–4849, 10.1109/ICASSP.2017.7953077.
-
(2017)
Very deep convolutional networks for end-to-end speech recognition, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE
, pp. 4845-4849
-
-
Zhang, Y.1
Chan, W.2
Jaitly, N.3
-
37
-
-
85031000781
-
-
Yeung, H.W.F., Li, J., Chung, Y.Y., Improved performance of face recognition using CNN with constrained triplet loss layer, 2017 International Joint Conference on Neural Networks (IJCNN), IEEE, 2017, 1948–1955, 10.1109/IJCNN.2017.7966089.
-
(2017)
Improved performance of face recognition using CNN with constrained triplet loss layer, 2017 International Joint Conference on Neural Networks (IJCNN), IEEE
, pp. 1948-1955
-
-
Yeung, H.W.F.1
Li, J.2
Chung, Y.Y.3
-
38
-
-
84947041871
-
ImageNet large scale visual recognition challenge
-
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L., ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. 115 (2015), 211–252, 10.1007/s11263-015-0816-y.
-
(2015)
Int. J. Comput. Vis.
, vol.115
, pp. 211-252
-
-
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
-
39
-
-
84999711766
-
Unsupervised feature learning for objects of interest detection in cluttered construction roof site images
-
Siddula, M., Dai, F., Ye, Y., Fan, J., Unsupervised feature learning for objects of interest detection in cluttered construction roof site images. Procedia Eng. 145 (2016), 428–435, 10.1016/j.proeng.2016.04.010.
-
(2016)
Procedia Eng.
, vol.145
, pp. 428-435
-
-
Siddula, M.1
Dai, F.2
Ye, Y.3
Fan, J.4
-
40
-
-
33745118277
-
-
Li, F.-F., Rod, F., Pietro, P., Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories, Conference on Computer Vision and Pattern Recognition Workshop (CVPR 2004), 178, 2004, 10.1109/CVPR.2004.109.
-
(2004)
Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories, Conference on Computer Vision and Pattern Recognition Workshop (CVPR 2004)
, vol.178
-
-
Li, F.-F.1
Rod, F.2
Pietro, P.3
-
41
-
-
77951298115
-
The Pascal visual object classes (VOC) challenge
-
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A., The Pascal visual object classes (VOC) challenge. Int. J. Comput. Vis. 88 (2010), 303–338, 10.1007/s11263-009-0275-4.
-
(2010)
Int. J. Comput. Vis.
, vol.88
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
42
-
-
85006736322
-
3D head pose estimation with convolutional neural network trained on synthetic images
-
Liu, X., Liang, W., Wang, Y., Li, S., Pei, M., 3D head pose estimation with convolutional neural network trained on synthetic images. 2016 IEEE International Conference on Image Processing (ICIP), 2016, 1289–1293, 10.1109/ICIP.2016.7532566.
-
(2016)
2016 IEEE International Conference on Image Processing (ICIP)
, pp. 1289-1293
-
-
Liu, X.1
Liang, W.2
Wang, Y.3
Li, S.4
Pei, M.5
-
43
-
-
84947277613
-
Automated annotation for visual recognition of construction resources using synthetic images
-
Soltani, M.M., Zhu, Z., Hammad, A., Automated annotation for visual recognition of construction resources using synthetic images. Autom. Constr. 62 (2016), 14–23, 10.1016/j.autcon.2015.10.002.
-
(2016)
Autom. Constr.
, vol.62
, pp. 14-23
-
-
Soltani, M.M.1
Zhu, Z.2
Hammad, A.3
-
44
-
-
77956031473
-
A survey on transfer learning
-
Pan, S.J., Yang, Q., A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22 (2010), 1345–1359, 10.1109/TKDE.2009.191.
-
(2010)
IEEE Trans. Knowl. Data Eng.
, vol.22
, pp. 1345-1359
-
-
Pan, S.J.1
Yang, Q.2
-
45
-
-
85083953063
-
-
Simonyan, K., Zisserman, A., Very deep convolutional networks for large-scale image recognition, International Conference on Learning Representations (ICRL), 2015, 1–14, 10.1016/j.infsof.2008.09.005.
-
(2015)
Very deep convolutional networks for large-scale image recognition, International Conference on Learning Representations (ICRL)
, pp. 1-14
-
-
Simonyan, K.1
Zisserman, A.2
-
46
-
-
84867720412
-
Improving neural networks by preventing co-adaptation of feature detectors
-
arXiv:1207.0580
-
Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.R., Improving neural networks by preventing co-adaptation of feature detectors. ArXiv E-Prints, 2012, 1–18 doi:arXiv:1207.0580.
-
(2012)
ArXiv E-Prints
, pp. 1-18
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
|