We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Recently, we developed NIR based face recognition for highly accurate face recognition under illumination variations [10]. In this paper, we present a part-based method for improv...
Ke Pan, ShengCai Liao, Zhijian Zhang, Stan Z. Li, ...
The aim of this work is to propose an adaptation of optimal path based interactive tools for image segmentation (related to Live-Wire [12] and Intelligent Scissors [18] approaches)...
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are exploited, partially or totally at the decoder. The side information represents a noisy ver...