暂无分享,去创建一个
Navdeep Jaitly | Soumik Sarkar | Julian Ryde | Kishore K. Reddy | Michael Giering | Vivek Venugopalan | J. Ryde | S. Sarkar | K. Reddy | V. Venugopalan | M. Giering | N. Jaitly
[1] Yann LeCun,et al. Indoor Semantic Segmentation using depth information , 2013, ICLR.
[2] Yoshua Bengio,et al. On the Expressive Power of Deep Architectures , 2011, ALT.
[3] C. A. Burbeck,et al. Occlusion edge blur: a cue to relative visual depth. , 1996, Journal of the Optical Society of America. A, Optics, image science, and vision.
[4] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[5] S. Palmer,et al. A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization. , 2012, Psychological bulletin.
[6] Y-Lan Boureau,et al. Learning Convolutional Feature Hierarchies for Visual Recognition , 2010, NIPS.
[7] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[8] Martial Hebert,et al. Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning , 2009, International Journal of Computer Vision.
[9] Peter Kontschieder,et al. Context-Sensitive Decision Forests for Object Detection , 2012, NIPS.
[10] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[11] Geoffrey E. Hinton,et al. Semantic hashing , 2009, Int. J. Approx. Reason..
[12] Paul Smith,et al. Layered motion segmentation and depth ordering by tracking edges , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] B. S. Manjunath,et al. Probabilistic occlusion boundary detection on spatio-temporal lattices , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[14] Stefano Soatto,et al. Detachable Object Detection with Efficient Model Selection , 2011, EMMCVPR.
[15] Truong Q. Nguyen,et al. An Online Learning Approach to Occlusion Boundary Detection , 2012, IEEE Transactions on Image Processing.
[16] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[17] Nicolas Le Roux,et al. Representational Power of Restricted Boltzmann Machines and Deep Belief Networks , 2008, Neural Computation.
[18] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition , 2012 .
[19] Óscar Martínez Mozos,et al. A comparative evaluation of interest point detectors and local descriptors for visual SLAM , 2010, Machine Vision and Applications.
[20] David Mumford,et al. A Bayesian treatment of the stereo correspondence problem using half-occluded regions , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Ralph Gross,et al. Concurrent Object Recognition and Segmentation by Graph Partitioning , 2002, NIPS.
[22] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[23] Wolfram Burgard,et al. A benchmark for the evaluation of RGB-D SLAM systems , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Benjamin Bustos,et al. Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes , 2011, The Visual Computer.
[25] Jitendra Malik,et al. Occlusion boundary detection and figure/ground assignment from optical flow , 2011, CVPR 2011.
[26] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.