activity
20132022
most citedA planetary nervous system for social mining and collective awareness

69 citations · 198 across the 10 of their papers we have counts for

collaborators

11 papers

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.CV2022

TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut

Yangtao Wang, Xi Shen, Yuan Yuan +5

In this paper, we describe a graph-based algorithm that uses the features obtained by a self-supervised transformer to detect and segment salient objects in images and videos. With…

cs.CV2019★ 1 cited

Recognizing Manipulation Actions from State-Transformations

Nachwa Aboubakr, James L. Crowley, Remi Ronfard

Manipulation actions transform objects from an initial state into a final state. In this paper, we report on the use of object state transitions as a mean for recognizing manipulat…

stat.ML2019★ 17 cited

Deep learning investigation for chess player attention prediction using eye-tracking and game data

Justin Le Louedec, Thomas Guntz, James Crowley +1

This article reports on an investigation of the use of convolutional neural networks to predict the visual attention of chess players. The visual attention model described in this…

cs.HC2018★ 2 cited

The Role of Emotion in Problem Solving: First Results from Observing Chess

Thomas Guntz, James Crowley, Dominique Vaufreydaz +2

In this paper we present results from recent experiments that suggest that chess players associate emotions to game situations and reactively use these associations to guide search…

cs.CV2018★ 61 cited

Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk

Romain Brégier, Frédéric Devernay, Laetitia Leyrit +1

While 3D object detection and pose estimation has been studied for a long time, its evaluation is not yet completely satisfactory. Indeed, existing datasets typically consist in nu…