activity
20182022
most citedWeakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data

45 citations · 162 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.AI2022

A Hierarchical Framework for Collaborative Artificial Intelligence

James L. Crowley, Joëlle L Coutaz, Jasmin Grosinger +5

We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the in…

cs.RO2022

Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning

Óscar Gil, Alberto Sanfeliu

The navigation of robots in dynamic urban environments, requires elaborated anticipative strategies for the robot to avoid collisions with dynamic objects, like bicycles or pedestr…

cs.CV2022★ 45 cited

Weakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data

Thomas A. Ciarfuglia, Ionut M. Motoi, Leonardo Saraceni +3

Detection, segmentation and tracking of fruits and vegetables are three fundamental tasks for precision agriculture, enabling robotic harvesting and yield estimation applications.…

cs.LG2022

Humans Social Relationship Classification during Accompaniment

Oscar Castro, Ely Repiso, Anais Garrell +1

This paper presents the design of deep learning architectures which allow to classify the social relationship existing between two people who are walking in a side-by-side formatio…

cs.RO2022★ 4 cited

Body Gesture Recognition to Control a Social Robot

Javier Laplaza, Joan Jaume Oliver, Ramón Romero +2

In this work, we propose a gesture based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neu…

cs.RO2022★ 2 cited

Perception-Intention-Action Cycle in Human-Robot Collaborative Tasks

J. E. Dominguez-Vidal, Nicolas Rodriguez, Rene Alquezar +1

In this work we argue that in Human-Robot Collaboration (HRC) tasks, the Perception-Action cycle in HRC tasks can not fully explain the collaborative behaviour of the human and rob…

cs.CV2022

Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation

Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo +2

The recovery of multi-person 3D poses from a single RGB image is a severely ill-conditioned problem due to the inherent 2D-3D depth ambiguity, inter-person occlusions, and body tru…

cs.CV2022★ 2 cited

Single-view 3D Body and Cloth Reconstruction under Complex Poses

Nicolas Ugrinovic, Albert Pumarola, Alberto Sanfeliu +1

Recent advances in 3D human shape reconstruction from single images have shown impressive results, leveraging on deep networks that model the so-called implicit function to learn t…