MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition
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Jiwen Lu | Jianfei Cai | Tat-Jen Cham | Anran Wang | Jiwen Lu | Jianfei Cai | Tat-Jen Cham | Anran Wang
[1] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Dieter Fox,et al. Unsupervised Feature Learning for RGB-D Based Object Recognition , 2012, ISER.
[3] Heinrich H. Bülthoff,et al. Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[4] Andrew Y. Ng,et al. Convolutional-Recursive Deep Learning for 3D Object Classification , 2012, NIPS.
[5] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[6] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[7] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[8] Honglak Lee,et al. Deep learning for detecting robotic grasps , 2013, Int. J. Robotics Res..
[9] Trevor Darrell,et al. PANDA: Pose Aligned Networks for Deep Attribute Modeling , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Andrew E. Johnson,et al. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[12] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[13] Martin A. Riedmiller,et al. A learned feature descriptor for object recognition in RGB-D data , 2012, 2012 IEEE International Conference on Robotics and Automation.
[14] Meng Wang,et al. Deep Learning of Scene-Specific Classifier for Pedestrian Detection , 2014, ECCV.
[15] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[16] Wei-Shi Zheng,et al. Jointly Learning Heterogeneous Features for RGB-D Activity Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[18] Jing Liu,et al. Partially Shared Latent Factor Learning With Multiview Data , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[19] Aly A. Farag,et al. CSIFT: A SIFT Descriptor with Color Invariant Characteristics , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[20] Yann LeCun,et al. Convolutional neural networks applied to house numbers digit classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[21] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[22] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[23] Hal Daumé,et al. Frustratingly Easy Domain Adaptation , 2007, ACL.
[24] Quoc V. Le,et al. ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning , 2011, NIPS.
[25] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[27] Dieter Fox,et al. Depth kernel descriptors for object recognition , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[28] Dieter Fox,et al. A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.
[29] Yi Li,et al. Convolutional Neural Networks for No-Reference Image Quality Assessment , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[30] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[31] Gang Hua,et al. Can Visual Recognition Benefit from Auxiliary Information in Training? , 2014, ACCV.
[32] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[33] Yann LeCun,et al. Indoor Semantic Segmentation using depth information , 2013, ICLR.
[34] Gang Wang,et al. Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling , 2014, ECCV.
[35] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.