The IEEE Conference on Computer Vision and Pattern Recognition is one of the top 2 in the field and had an acceptance rate this year of 24%. 4 papers accepted is a great result for the group.
The papers are;
- Sharing Features in Multi-class Boosting via Group Sparsity, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
- Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning, Xi Li, Chunhua Shen, Qinfeng Shi, Anthony Dick, Anton van den Hengel
- The Use of On-line Co-training to Reduce the Training Set Size in Pattern Recognition Methods: Application to Left Ventricle Segmentation in Ultrasound, Gustavo Carneiro and Jacinto Nascimento
- The Random Cluster Model for Robust Geometric Fitting, Trung T. Pham, Tat-Jun Chin, Jin Yu and David Suter