暂无分享,去创建一个
Cristian Sminchisescu | Catalin Ionescu | Orestis Vantzos | C. Sminchisescu | Catalin Ionescu | O. Vantzos
[1] Andrea Vedaldi,et al. MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.
[2] M. Giles. Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation , 2008 .
[3] Cristian Sminchisescu,et al. Probabilistic Joint Image Segmentation and Labeling , 2011, NIPS.
[4] P. S. Dwyer,et al. Symbolic Matrix Derivatives , 1948 .
[5] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .
[6] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[7] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[8] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[9] Cristian Sminchisescu,et al. Building Roadmaps of Minima and Transitions in Visual Models , 2004, International Journal of Computer Vision.
[10] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Jianbo Shi,et al. Spectral segmentation with multiscale graph decomposition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Naila Murray,et al. Revisiting the Fisher vector for fine-grained classification , 2014, Pattern Recognit. Lett..
[13] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Subhransu Maji,et al. Bilinear CNN Models for Fine-Grained Visual Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2015, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Jian Peng,et al. Conditional Neural Fields , 2009, NIPS.
[17] Guosheng Lin,et al. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Cristian Sminchisescu,et al. Composite Statistical Inference for Semantic Segmentation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[19] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[20] Cristian Sminchisescu,et al. Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition , 2013, International Journal of Computer Vision.
[21] Raquel Urtasun,et al. Fully Connected Deep Structured Networks , 2015, ArXiv.
[22] Alan L. Yuille,et al. Learning Deep Structured Models , 2014, ICML.
[23] Jian Sun,et al. Convolutional feature masking for joint object and stuff segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Yoshua Bengio,et al. Global training of document processing systems using graph transformer networks , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[27] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[28] Edward H. Adelson,et al. Learning Gaussian Conditional Random Fields for Low-Level Vision , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[30] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[31] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Vladlen Koltun,et al. Parameter Learning and Convergent Inference for Dense Random Fields , 2013, ICML.
[33] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[34] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[35] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[36] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[38] Yann Le Cun,et al. A Theoretical Framework for Back-Propagation , 1988 .
[39] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[40] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition , 2012 .
[41] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[42] Gene H. Golub,et al. Matrix computations (3rd ed.) , 1996 .
[43] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[44] Michael I. Jordan,et al. Learning Spectral Clustering, With Application To Speech Separation , 2006, J. Mach. Learn. Res..
[45] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[46] H. Sebastian Seung,et al. Maximin affinity learning of image segmentation , 2009, NIPS.
[47] Yann LeCun,et al. A theoretical framework for back-propagation , 1988 .
[48] Joan Bruna,et al. Deep Convolutional Networks on Graph-Structured Data , 2015, ArXiv.
[49] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[50] Cristian Sminchisescu,et al. Free-Form Region Description with Second-Order Pooling , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[52] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[53] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[54] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[55] Miguel Á. Carreira-Perpiñán,et al. Distributed optimization of deeply nested systems , 2012, AISTATS.
[56] Jeff A. Bilmes,et al. Deep Canonical Correlation Analysis , 2013, ICML.
[57] Cristian Sminchisescu,et al. Semantic Segmentation with Second-Order Pooling , 2012, ECCV.
[58] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[59] Jitendra Malik,et al. Simultaneous Detection and Segmentation , 2014, ECCV.
[60] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[61] Manolis I. A. Lourakis,et al. Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications , 2000, ECCV.
[62] W S McCulloch,et al. A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.
[63] Cristian Sminchisescu,et al. Matrix Backpropagation for Deep Networks with Structured Layers , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[64] Nicholas Ayache,et al. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices , 2007, SIAM J. Matrix Anal. Appl..
[65] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[66] Anders P. Eriksson,et al. Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[67] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[68] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[69] Hongdong Li,et al. Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[70] Takeo Kanade,et al. Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.