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A Surprisingly Robust Trick for the Winograd Schema Challenge
TLDR
We show that the performance of three language models on WSC273 strongly improves when fine-tuned on a similar pronoun disambiguation problem dataset (denoted WSCR) and generate a large unsupervised WSC-like dataset. Expand
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Static and Dynamic Hand Gesture Recognition in Depth Data Using Dynamic Time Warping
TLDR
This paper discusses the development of a natural gesture user interface that tracks and recognizes in real time hand gestures based on depth data collected by a Kinect sensor. Expand
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Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework †
TLDR
This paper presents a data-driven iterative learning framework to classify human locomotion activities such as walk, stand, lie, and sit, extracted from the Opportunity dataset. Expand
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Multimodal Bio-Inspired Tactile Sensing Module
Tactile sensors are the last frontier to robots that can handle everyday objects and interact with humans through contact. To be effective, such sensors have to sense the geometry of touched surfacesExpand
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Human movement quantification using Kinect for in-home physical exercise monitoring
  • S. Gauthier, A. Cretu
  • Computer Science
  • IEEE International Conference on Computational…
  • 5 May 2014
TLDR
The paper proposes a framework for in-home physical exercise monitoring based on a Kinect platform with more advanced reporting capabilities on the movement such as: position and trajectory of each joint, the working envelope of each body member, the average velocity, and a measure of the user's fatigue after an exercise sequence. Expand
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Neural-network-based adaptive sampling of three-dimensional-object surface elastic properties
  • A. Cretu, E. Petriu
  • Computer Science
  • IEEE Transactions on Instrumentation and…
  • 20 March 2006
TLDR
The paper discusses an adaptive-sampling technique for dimensionality reduction of the set of probing points in the measurement of nonuniform elastic properties of three-dimensional (3-D) objects. Expand
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Intelligent haptic sensor system for robotic manipulation
TLDR
This paper discusses an intelligent multimodal sensor system developed to enhance the haptic control of robotic manipulations of small three-dimensional (3D) objects. Expand
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Soft Object Deformation Monitoring and Learning for Model-Based Robotic Hand Manipulation
TLDR
This paper discusses the design and implementation of a framework that automatically extracts and monitors the shape deformations of soft objects from a video sequence and maps them with force measurements with the goal of providing the necessary information to the controller of a robotic hand to ensure safe model-based deformable object manipulation. Expand
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Building Detection in Aerial Images Based on Watershed and Visual Attention Feature Descriptors
  • A. Cretu, P. Payeur
  • Computer Science
  • International Conference on Computer and Robot…
  • 29 May 2013
TLDR
This paper investigates a novel solution for the recognition of objects of interest in aerial images. Expand
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Evaluation of growing neural gas networks for selective 3D scanning
TLDR
This paper addresses the issue of intelligent sensing for advanced robotic applications and is a continuation of our research in the area of innovative approaches for automatic selection of regions of observation for fixed and mobile sensors to collect only relevant measurements. Expand
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