List
[1] Region-based Saliency Detection and Its Application in Object Recognition. Zhixiang Ren, Circuits and Systems for Video Technology, IEEE Transactions on 2013
[2] 蒋经国传. 陶函.
[3] 红楼梦.
[4] Mean shift: a robust approach toward feature space analysis
[5] Associative Hierarchical CRFs for Object Class Image Segmentation
[6] Efficient Hierarchical Graph-Based Video Segmentation
[7] Nonlinear Mean Shift over Riemannian Manifolds
[8] Learning Hierachical Feature Extractors For Image Recognition. (严乐存学生12年的Ph.D Thesis)
[9] Learning Feature Hierachies for Object Recognition.(严乐存学生12年的Ph.D Thesis)
[10] Efficient Salient Region Detection with Soft Image Abstraction. ICCV 2013 Ming-Ming Cheng
[11] Clustering by passing messages between data points. Science 2007 B. Frey http://www.psi.toronto.edu/affinitypropagation/FreyDueckScience07.pdf
[12] Hierarchical Anity Propagation
[13] Self-adaptively weighted Co-saliency detection via rank constraint. TIP2014
[14] Saliency map fusion based on rank-one constraint. ACM MM 2013
[15] Regularity Preserved Superpixels and Supervovxels. TMM 2014
[16] 一蓑烟雨任平生 陈如江
[17] Aggregating local descriptors into a compact image representation. CVPR 2010
[18] Aggregating local descriptors into compact codes. TPAMI 2012
[19] Boosting Binary Keypoint Descriptors. CVPR 2013
[20] Discriminative Color Descriptors. CVPR 2013
[21] Dense Segmentation Aware Descriptors
[22] Sparse Quantization for Patch Desciption
[23] Constraints as Features
[24] Kernel Learning for Extrinsic Classification of Manifold Features
[25] A max-Margin Riffled Independence Model for Image Tagg Ranking
[26] Discriminative Re-ranking of Diverse Segmentation
[27] Weakly Surpervised Dual Clustering for Image Semantic Segmentation
[28] Constrained Clustering and Its-application to Face Clustering in Videas
[29] Discriminative Subspace Clustering
[30] Scalable Sparse Subspace Clustering
[31] A Principle Deep Random Field Model for Image Segmentation
[32] Bottom-Up segmentation for Top-Down Detection
[33] Fast Trust Region for Segmetnation
[34] Image Segmentation by Cascaded Agglomeration
[35] Towards Fast and Accurate Segmentation
[36] Graph Transduction Learning with Connectivity Constraints with Application to Multiple Foreground Cosegmentation
[37] Deep Learning Shape Priors for Object Segmentation
[38] A Co-saliency Model of Image Pairs TIP2011
[39] Cluster-based Co-saliency Detection. Huazhu Fu, TIP 2013.
[40] Scale-space theory: A basic tool for analysing structures at difference scales. Tony Lindeberg. Journal of Applied Statistics. 1994.
[50] Feature Detection with Automatic Scale Selection. Tony Lindeberg. 1998. Tech Report.
[51] 平行宇宙. 加来道雄
[52] 时间简史
[53] What is an object? CVPR 2010.
[54] Efficient Non-Maximum Suppression. ICPR 2006.
[55] Latent Maximum Margin Clustering. NIPS 2013.
