Guidelines for the Use of Vibro-Tactile Displays in Human Computer Interaction Jan B.F. van Erp TNO Human Factors Soesterberg, The Netherlands

Source URL: www.eurohaptics.vision.ee.ethz.ch

Integrated Infrastructure and Vehicle Based Monitoring for Enhanced Efficiency and Safety Brendan Morris and Mohan Trivedi Computer Vision and Robotics Research Laboratory University of California, San Diego

Source URL: cvrr.ucsd.edu

IEEE Conference on Computer Vision and Pattern Recognition Workshops: Human Activity Understanding from 3D Data, to appearJoint Angles Similarities and HOG2 for Action Recognition Eshed Ohn-Bar and Mohan M. Trived

Source URL: cvrr.ucsd.edu

Recurrent Attention Models for Depth-Based Person Identification Albert Haque, Alexandre Alahi, Li Fei-Fei Computer Science Department, Stanford University {ahaque,alahi,feifeili}@cs.stanford.edu Abstract

Source URL: vision.stanford.edu

Evaluating Tactile Feedback in Graphical User Interfaces Elina Tähkäpää and Roope Raisamo Tampere Unit for Computer-Human Interaction (TAUCHI) Department of Computer and Information Sciences FINUniversity of T

Source URL: www.eurohaptics.vision.ee.ethz.ch

Towards a General Vision System based on Symbol-Relation Grammars and Bayesian Networks Elias Ruiz, Augusto Melendez, and L. Enrique Sucar Computer Science Department, National Institute of Astrophysics, Optics and Elect

Source URL: ccc.inaoep.mx

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

Source URL: www.cvg.ethz.ch

• Computer vision
• Statistics
• Vision
• Nonparametric statistics
• Color histogram
• Condensation algorithm
• Summary statistics
• Probability distribution
• Histogram
• Mode
• Data analysis

Efficient Multi-Camera Visual-Inertial SLAM for Micro Aerial Vehicles

Source URL: www.ais.uni-bonn.de

• Artificial intelligence
• Robotics
• Vision
• Computer vision
• Robot control
• 3D computer graphics
• Computer animation
• Video editing software
• Motion capture
• Simultaneous localization and mapping
• Motion
• 3D reconstruction

Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen†

Source URL: xiaoyongshen.me

• Computational neuroscience
• Science and technology
• Mathematics
• Cybernetics
• Computer vision
• Convolutional neural network
• Outline of object recognition
• Localization
• Image segmentation
• Artificial intelligence
• Valuation
• Conference on Computer Vision and Pattern Recognition