We introduce a text-based image feature and demon-
strate that it consistently improves performance on hard
object classification problems. The feature is built using
an auxilia...
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
Visualization is often invaluable to understand the behavior of optimization algorithms, identify their bottlenecks or pathological behaviors, and suggest remedial techniques. Yet ...
Abstract. Extraction of visual descriptors is a crucial problem for stateof-the-art visual information analysis. In this paper, we present a knowledgebased approach for detection o...
Paraskevi K. Tzouveli, Georgios Andreou, Gabriel T...
Abstract. We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, ...