3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 3 cited
Volumetric Convolution: Automatic Representation Learning in Unit Ball
Sameera Ramasinghe, Salman Khan, Nick Barnes
Convolution is an efficient technique to obtain abstract feature representations using hierarchical layers in deep networks. Although performing convolution in Euclidean geometries…
cs.LG2010
Totally Corrective Multiclass Boosting with Binary Weak Learners
Zhihui Hao, Chunhua Shen, Nick Barnes +1
In this work, we propose a new optimization framework for multiclass boosting learning. In the literature, AdaBoost.MO and AdaBoost.ECC are the two successful multiclass boosting a…
cs.CV2010★ 1 cited
Asymmetric Totally-corrective Boosting for Real-time Object Detection
Peng Wang, Chunhua Shen, Nick Barnes +2
Real-time object detection is one of the core problems in computer vision. The cascade boosting framework proposed by Viola and Jones has become the standard for this problem. In t…