The design of complexity-aware cascaded detectors, combining features of very different
complexities, is considered. A new cascade design procedure is introduced, by formulating …

In this paper we propose a novel framework, Latent-Class Hough Forests, for 3D object
detection and pose estimation in heavily cluttered and occluded scenes. Firstly, we adapt …

This paper proposes a Cascaded Random Forest (CRF) method, which can improve the
classification performance by means of combining two different enhancements into the …

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed
proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in …

Despite recent significant advances, object detection continues to be an extremely
challenging problem in real scenarios. In order to develop a detector that successfully …

Pedestrian detection is one of the most challenging tasks in computer vision, and has
received a lot of attention in the last years. Recently, some authors have shown the …

Despite recent significant advances, pedestrian detection continues to be an extremely
challenging problem in real scenarios. In order to develop a detector that successfully …

In this paper we present Latent-Class Hough Forests, a method for object detection and 6
DoF pose estimation in heavily cluttered and occluded scenarios. We adapt a state of the art …

In this work, we address the problem of estimating 2d human pose from still images.
Articulated body pose estimation is challenging due to the large variation in body poses and …

Robotic grasp in complex open-world scenarios requires an effective and generalizable
perception. Estimating object's pose is needed in a variety of practical gras** scenarios …