Papers
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency
Hisham Cholakkal, Jubin Johnson, Deepu Rajan
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations
Xian Wei, Hao Shen, Martin Kleinsteuber
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri, Yang Zou, Gustavo K. Rohde
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
Canyi Lu, Jiashi Feng, Yudong Chen et al.
Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion
Xavier Alameda-Pineda, Elisa Ricci, Yan Yan et al.
Active Learning for Delineation of Curvilinear Structures
Agata Mosinska-Domanska, Raphael Sznitman, Przemyslaw Glowacki et al.
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning
Yusuke Mukuta, Tatsuya Harada
Robust Tensor Factorization With Unknown Noise
Xi'ai Chen, Zhi Han, Yao Wang et al.
Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming
Yongfang Cheng, Yin Wang, Mario Sznaier et al.
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification
Ha Quang Minh, Marco San Biagio, Loris Bazzani et al.
When VLAD Met Hilbert
Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli
Unsupervised Learning of Discriminative Attributes and Visual Representations
Chen Huang, Chen Change Loy, Xiaoou Tang
Symmetry reCAPTCHA
Chris Funk, Yanxi Liu
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
Ming Yin, Yi Guo, Junbin Gao et al.
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang, Devi Parikh, Dhruv Batra
Multi-Label Ranking From Positive and Unlabeled Data
Atsushi Kanehira, Tatsuya Harada
Large Scale Hard Sample Mining With Monte Carlo Tree Search
Olivier Canevet, Francois Fleuret
Multilinear Hyperplane Hashing
Xianglong Liu, Xinjie Fan, Cheng Deng et al.
Deep Canonical Time Warping
George Trigeorgis, Mihalis A. Nicolaou, Stefanos Zafeiriou et al.
Constrained Deep Transfer Feature Learning and Its Applications
Yue Wu, Qiang Ji
Geospatial Correspondences for Multimodal Registration
Diego Marcos, Raffay Hamid, Devis Tuia
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang
Multivariate Regression on the Grassmannian for Predicting Novel Domains
Yongxin Yang, Timothy M. Hospedales
Tensor Power Iteration for Multi-Graph Matching
Xinchu Shi, Haibin Ling, Weiming Hu et al.
Shape Analysis With Hyperbolic Wasserstein Distance
Jie Shi, Wen Zhang, Yalin Wang