Papers
Partial Optimality by Pruning for MAP-inference with General Graphical Models
Paul Swoboda, Bogdan Savchynskyy, Jorg H. Kappes et al.
Maximum Persistency in Energy Minimization
Alexander Shekhovtsov
Submodularization for Binary Pairwise Energies
Lena Gorelick, Yuri Boykov, Olga Veksler et al.
Energy Based Multi-model Fitting & Matching for 3D Reconstruction
Hossam Isack, Yuri Boykov
A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields
Alexander Fix, Chen Wang, Ramin Zabih
Multi-Object Tracking via Constrained Sequential Labeling
Sheng Chen, Alan Fern, Sinisa Todorovic
MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction
Hanbyul Joo, Hyun Soo Park, Yaser Sheikh
Multi-Output Learning for Camera Relocalization
Abner Guzman-Rivera, Pushmeet Kohli, Ben Glocker et al.
Realtime and Robust Hand Tracking from Depth
Chen Qian, Xiao Sun, Yichen Wei et al.
Local Layering for Joint Motion Estimation and Occlusion Detection
Deqing Sun, Ce Liu, Hanspeter Pfister
Adaptive Color Attributes for Real-Time Visual Tracking
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg et al.
Finding the Subspace Mean or Median to Fit Your Need
Tim Marrinan, J. Ross Beveridge, Bruce Draper et al.
Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning
Bang Zhang, Yi Wang, Yang Wang et al.
Merging SVMs with Linear Discriminant Analysis: A Combined Model
Symeon Nikitidis, Stefanos Zafeiriou, Maja Pantic
Kernel-PCA Analysis of Surface Normals for Shape-from-Shading
Patrick Snape, Stefanos Zafeiriou
Fantope Regularization in Metric Learning
Marc T. Law, Nicolas Thome, Matthieu Cord
Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters
Vittal Premachandran, Daniel Tarlow, Dhruv Batra
Learning Inhomogeneous FRAME Models for Object Patterns
Jianwen Xie, Wenze Hu, Song-Chun Zhu et al.
Predicting Multiple Attributes via Relative Multi-task Learning
Lin Chen, Qiang Zhang, Baoxin Li
Subspace Clustering for Sequential Data
Stephen Tierney, Junbin Gao, Yi Guo
Optimizing Average Precision using Weakly Supervised Data
Aseem Behl, C. V. Jawahar, M. Pawan Kumar
Bregman Divergences for Infinite Dimensional Covariance Matrices
Mehrtash Harandi, Mathieu Salzmann, Fatih Porikli
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction
Chetan Tonde, Ahmed Elgammal
Transitive Distance Clustering with K-Means Duality
Zhiding Yu, Chunjing Xu, Deyu Meng et al.
Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification
Yadong Mu, Gang Hua, Wei Fan et al.