메뉴 건너뛰기




Volumn 2, Issue 2, 2017, Pages 468-475

Learning Depth-Aware Deep Representations for Robotic Perception

Author keywords

RGB D perception; visual learning

Indexed keywords

NETWORK ARCHITECTURE; NEURAL NETWORKS; ROBOTICS; SEMANTICS;

EID: 85029592770     PISSN: None     EISSN: 23773766     Source Type: Journal    
DOI: 10.1109/LRA.2016.2637444     Document Type: Article
Times cited : (30)

References (41)
  • 1
    • 84937943470 scopus 로고    scopus 로고
    • Depth map prediction from a single image using amulti-scale deep network
    • D. Eigen, C. Puhrsch, and R. Fergus, "Depth map prediction from a single image using amulti-scale deep network," in Proc. Adv. Neural Inf. Process. Syst., 2014, pp. 2366-2374.
    • (2014) Proc. Adv. Neural Inf. Process. Syst. , pp. 2366-2374
    • Eigen, D.1    Puhrsch, C.2    Fergus, R.3
  • 2
    • 84977561870 scopus 로고    scopus 로고
    • Real-time 3D scene layout from a single image using convolutional neural networks
    • S. Yang, D. Maturana, and S. Scherer, "Real-time 3D scene layout from a single image using convolutional neural networks," in Proc. Int. Conf. Robot. Autom., 2016, pp. 2183-2189.
    • (2016) Proc. Int. Conf. Robot. Autom. , pp. 2183-2189
    • Yang, S.1    Maturana, D.2    Scherer, S.3
  • 4
    • 84986241851 scopus 로고    scopus 로고
    • Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free
    • N. Suenderhauf et al., "Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free," in Proc. Robot. Sci. Syst., 2015, doi:10.15607/RSS.2015.XI.022.
    • (2015) Proc. Robot. Sci. Syst.
    • Suenderhauf, N.1
  • 5
    • 84977543172 scopus 로고    scopus 로고
    • Modelling uncertainty in deep learning for camera relocalization
    • A. Kendall and R. Cipolla, "Modelling uncertainty in deep learning for camera relocalization," in Proc. Int. Conf. Robot. Autom., 2016, pp. 4762-4769.
    • (2016) Proc. Int. Conf. Robot. Autom. , pp. 4762-4769
    • Kendall, A.1    Cipolla, R.2
  • 6
    • 84938262734 scopus 로고    scopus 로고
    • Efficient monocular pose estimation for complex 3D models
    • A. Rubio et al., "Efficient monocular pose estimation for complex 3D models," in Proc. Int. Conf. Robot. Autom., 2015, pp. 1397-1402.
    • (2015) Proc. Int. Conf. Robot. Autom. , pp. 1397-1402
    • Rubio, A.1
  • 7
    • 84906344142 scopus 로고    scopus 로고
    • Learning rich features from RGB-D images for object detection and segmentation
    • S. Gupta, R. Girshick, P. Arbeláez, and J. Malik, "Learning rich features from RGB-D images for object detection and segmentation," in Proc. Eur. Conf. Comput. Vis., 2014, pp. 345-360.
    • (2014) Proc. Eur. Conf. Comput. Vis. , pp. 345-360
    • Gupta, S.1    Girshick, R.2    Arbeláez, P.3    Malik, J.4
  • 8
    • 84958159870 scopus 로고    scopus 로고
    • Voxnet: A 3D convolutional neural network for real-time object recognition
    • D. Maturana and S. Scherer, "Voxnet: A 3D convolutional neural network for real-time object recognition," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., 2015, pp. 922-928.
    • (2015) Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. , pp. 922-928
    • Maturana, D.1    Scherer, S.2
  • 10
    • 84961786643 scopus 로고    scopus 로고
    • Depth and height aware semantic RGB-D perception with convolutional neural networks
    • H. Schulz, N. Höft, and S. Behnke, "Depth and height aware semantic RGB-D perception with convolutional neural networks," in Proc. Eur. Symp. Artif. Neural Netw., 2015, pp. 463-468.
    • (2015) Proc. Eur. Symp. Artif. Neural Netw. , pp. 463-468
    • Schulz, H.1    Höft, N.2    Behnke, S.3
  • 15
    • 84898820142 scopus 로고    scopus 로고
    • Structured forests for fast edge detection
    • P. Dollar and L. Zitnick, "Structured forests for fast edge detection," in Proc. Int. Conf. Comput. Vis., 2013, pp. 1841-1848.
    • (2013) Proc. Int. Conf. Comput. Vis. , pp. 1841-1848
    • Dollar, P.1    Zitnick, L.2
  • 16
    • 84973859794 scopus 로고    scopus 로고
    • Holistically-nested edge detection
    • S. Xie and Z. Tu, "Holistically-nested edge detection," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1395-1403.
    • (2015) Proc. Int. Conf. Comput. Vis. , pp. 1395-1403
    • Xie, S.1    Tu, Z.2
  • 18
    • 84879877798 scopus 로고    scopus 로고
    • Invariant scattering convolution networks
    • Aug.
    • J. Bruna and S. Mallat, "Invariant scattering convolution networks," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 8, pp. 1872-1886, Aug. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.8 , pp. 1872-1886
    • Bruna, J.1    Mallat, S.2
  • 22
    • 84973866198 scopus 로고    scopus 로고
    • MMSS: Multi-modal sharable and specific feature learning for RGB-D object recognition
    • A. Wang, J. Cai, J. Lu, and T.-J. Cham, "MMSS: Multi-modal sharable and specific feature learning for RGB-D object recognition," in Proc. Int. Conf. Comput. Vis., 2015, pp. 1125-1133.
    • (2015) Proc. Int. Conf. Comput. Vis. , pp. 1125-1133
    • Wang, A.1    Cai, J.2    Lu, J.3    Cham, T.-J.4
  • 26
    • 84906508687 scopus 로고    scopus 로고
    • 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 Proc. 13th Eur. Conf. Comput. Vis., 2014, pp. 346-361.
    • (2014) Proc. 13th Eur. Conf. Comput. Vis. , pp. 346-361
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 29
    • 84973897611 scopus 로고    scopus 로고
    • Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
    • D. Eigen and R. Fergus, "Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture," in Proc. Int. Conf. Comput. Vis., 2015, pp. 2650-2658.
    • (2015) Proc. Int. Conf. Comput. Vis. , pp. 2650-2658
    • Eigen, D.1    Fergus, R.2
  • 30
    • 84959216394 scopus 로고    scopus 로고
    • Shape driven kernel adaptation in convolutional neural network for robust facial traits recognition
    • S. Li, J. Xing, Z. Niu, S. Shan, and S. Yan, "Shape driven kernel adaptation in convolutional neural network for robust facial traits recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2015, pp. 222-230.
    • (2015) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 222-230
    • Li, S.1    Xing, J.2    Niu, Z.3    Shan, S.4    Yan, S.5
  • 31
    • 84929208342 scopus 로고    scopus 로고
    • Learning depth-sensitive conditional random fields for semantic segmentation of RGB-D images
    • A. C. Muller and S. Behnke, "Learning depth-sensitive conditional random fields for semantic segmentation of RGB-D images," in Proc. 2014 IEEE Int. Conf. Robot. Autom., 2014, pp. 6232-6237.
    • (2014) Proc. 2014 IEEE Int. Conf. Robot. Autom. , pp. 6232-6237
    • Muller, A.C.1    Behnke, S.2
  • 32
    • 0000698134 scopus 로고
    • A real-time algorithm for signal analysis with the help of the wavelet transform
    • New York, NY, USA: Springer
    • M. Holschneider, R. Kronland-Martinet, J. Morlet, and P. Tchamitchian, "A real-time algorithm for signal analysis with the help of the wavelet transform," in Wavelets. New York, NY, USA: Springer, 1990, pp. 286-297.
    • (1990) Wavelets , pp. 286-297
    • Holschneider, M.1    Kronland-Martinet, R.2    Morlet, J.3    Tchamitchian, P.4
  • 33
    • 84969584486 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • S. Ioffe and C. Szegedy, "Batch normalization: Accelerating deep network training by reducing internal covariate shift," in Proc. Int. Conf. Mach. Learn., 2015, pp. 448-456.
    • (2015) Proc. Int. Conf. Mach. Learn. , pp. 448-456
    • Ioffe, S.1    Szegedy, C.2
  • 34
    • 84856685492 scopus 로고    scopus 로고
    • Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
    • S. Hinterstoisser et al., "Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes," in Proc. 2011 Int. Conf. Comput. Vis., 2011, pp. 858-865.
    • (2011) Proc. 2011 Int. Conf. Comput. Vis. , pp. 858-865
    • Hinterstoisser, S.1
  • 40
    • 79953048649 scopus 로고    scopus 로고
    • Contour detection and hierarchical image segmentation
    • May
    • P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, "Contour detection and hierarchical image segmentation," IEEE Trans. Pattern Anal. Mach., vol. 33, no. 5, pp. 898-916, May 2011.
    • (2011) IEEE Trans. Pattern Anal. Mach. , vol.33 , Issue.5 , pp. 898-916
    • Arbelaez, P.1    Maire, M.2    Fowlkes, C.3    Malik, J.4
  • 41
    • 84877752264 scopus 로고    scopus 로고
    • Discriminatively trained sparse code gradients for contour detection
    • R. Xiaofeng and L. Bo, "Discriminatively trained sparse code gradients for contour detection," in Proc. 25th Int. Conf. Neural Inf. Process. Syst., 2012, pp. 584-592.
    • (2012) Proc. 25th Int. Conf. Neural Inf. Process. Syst. , pp. 584-592
    • Xiaofeng, R.1    Bo, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.