2.7k citations · 7.3k across the 172 of their papers we have counts for
10 papers · 2 filters
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations
Zhen Zhang, Qinfeng Shi, Yanning Zhang +2
LP relaxation-based message passing algorithms provide an effective tool for MAP inference over Probabilistic Graphical Models. However, different LP relaxations often have differe…
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization
Guosheng Lin, Chunhua Shen, Anton van den Hengel +1
Wepresentanovelcolumngenerationbasedboostingmethod for multi-class classification. Our multi-class boosting is formulated in a single optimization problem as in Shen and Hao (2011)…
Contextual Hypergraph Modelling for Salient Object Detection
Xi Li, Yao Li, Chunhua Shen +2
Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis. In this wor…
Online Unsupervised Feature Learning for Visual Tracking
Fayao Liu, Chunhua Shen, Ian Reid +1
Feature encoding with respect to an over-complete dictionary learned by unsupervised methods, followed by spatial pyramid pooling, and linear classification, has exhibited powerful…
Efficient pedestrian detection by directly optimize the partial area under the ROC curve
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
Many typical applications of object detection operate within a prescribed false-positive range. In this situation the performance of a detector should be assessed on the basis of t…
Fast Approximate L_infty Minimization: Speeding Up Robust Regression
Fumin Shen, Chunhua Shen, Rhys Hill +2
Minimization of the norm, which can be viewed as approximately solving the non-convex least median estimation problem, is a powerful method for outlier removal and hence…
A Fast Semidefinite Approach to Solving Binary Quadratic Problems
Peng Wang, Chunhua Shen, Anton van den Hengel
Many computer vision problems can be formulated as binary quadratic programs (BQPs). Two classic relaxation methods are widely used for solving BQPs, namely, spectral methods and s…
A Survey of Appearance Models in Visual Object Tracking
Xi Li, Weiming Hu, Chunhua Shen +3
Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression. In…
Asymmetric Pruning for Learning Cascade Detectors
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
Cascade classifiers are one of the most important contributions to real-time object detection. Nonetheless, there are many challenging problems arising in training cascade detector…
Training Effective Node Classifiers for Cascade Classification
Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai +1
Cascade classifiers are widely used in real-time object detection. Different from conventional classifiers that are designed for a low overall classification error rate, a classifi…