We propose a hierarchical framework for collaborative intelligent system...
The navigation of robots in dynamic urban environments, requires elabora...
Detection, segmentation and tracking of fruits and vegetables are three
...
This paper presents the design of deep learning architectures which allo...
In this work, we propose a gesture based language to allow humans to int...
In this work we argue that in Human-Robot Collaboration (HRC) tasks, the...
Recent advances in 3D human shape reconstruction from single images have...
Recovering multi-person 3D poses from a single RGB image is a severely
i...
We address the problem of multi-person 3D body pose and shape estimation...
In this paper is proposed an inclusion of the Social Force Model (SFM) i...
Localization and Mapping is an essential component to enable Autonomous
...
This paper proposes a Social Reward Sources (SRS) design for a Human-Rob...
Recent advances in 3D human shape estimation build upon parametric
repre...
Learning descriptive spatio-temporal object models from data is paramoun...
We propose a method for predicting the 3D shape of a deformable surface ...
We present a novel approach for synthesizing photo-realistic images of p...
In this paper we propose a novel approach to estimate dense optical flow...
Perception technologies in Autonomous Driving are experiencing their gol...
Vehicle detection and tracking is a core ingredient for developing auton...
We propose a novel representation for dense pixel-wise estimation tasks ...
Recent advances in Generative Adversarial Networks (GANs) have shown
imp...