<--- Back to Details
First PageDocument Content
Computer vision / Computational neuroscience / Convolutional neural network / Conference on Computer Vision and Pattern Recognition / Visual descriptor / Optical flow / Pose / Motion estimation / Artificial intelligence / Artificial neural network
Date: 2015-09-26 05:47:27
Computer vision
Computational neuroscience
Convolutional neural network
Conference on Computer Vision and Pattern Recognition
Visual descriptor
Optical flow
Pose
Motion estimation
Artificial intelligence
Artificial neural network

P-CNN: Pose-based CNN Features for Action Recognition Guilhem Ch´eron∗ † Ivan Laptev∗ Cordelia Schmid†

Add to Reading List

Source URL: www.normalesup.org

Download Document from Source Website

File Size: 2,77 MB

Share Document on Facebook

Similar Documents

Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

DocID: 1xTqR - View Document

Ana Luisa Rébora’s Transfiguration of Figures  The sense creates the pose. In this it moves and speaks. This is the figure and not An evading metaphor.

Ana Luisa Rébora’s Transfiguration of Figures The sense creates the pose. In this it moves and speaks. This is the figure and not An evading metaphor.

DocID: 1vqc6 - View Document

Sitting Positions from Easiest to Hardest (or from Better to Best)  Easy Pose (Sukasana) Sit with both knees bent. Tuck your feet in front of your thighs so that the toes are pointing in opposite directions. Straighten y

Sitting Positions from Easiest to Hardest (or from Better to Best) Easy Pose (Sukasana) Sit with both knees bent. Tuck your feet in front of your thighs so that the toes are pointing in opposite directions. Straighten y

DocID: 1vq5M - View Document

Human Pose Recovery and Behavior Analysis Group  ChaLearn Looking at People 2015 new competitions: Age Estimation and Cultural Event Recognition Sergio Escalera, UB & CVC & ChaLearn

Human Pose Recovery and Behavior Analysis Group ChaLearn Looking at People 2015 new competitions: Age Estimation and Cultural Event Recognition Sergio Escalera, UB & CVC & ChaLearn

DocID: 1vnzs - View Document

Master Computer Vision & Artificial Intelligence  Real-Time Hand Pose Recognition using Depth Sensors combined with Spherical Shape Model Descriptor Oscar Lopes

Master Computer Vision & Artificial Intelligence Real-Time Hand Pose Recognition using Depth Sensors combined with Spherical Shape Model Descriptor Oscar Lopes

DocID: 1vnp1 - View Document