PPT-Modeling Mutual Context of Object and Human Pose in Human-O

Bangpeng Yao and Li FeiFei Computer Science Department Stanford University bangpengfeifeilicsstanfordedu 1 Robots interact with objects Automatic sports commentary Kobe is dunking the ball. Rather than modeling articulation using a family of warped rotated and foreshortened templates we use a mixture of small nonoriented parts We describe a general 64258exible mixture model that jointly captures spatial relations between part locations Recognition. (CVPR’04). Greg Mori, . Xiaofeng. . Ren. , Alexei A. . Efros. and . Jitendra. . Malik. - Pose primitive based human action . recognition in videos or still . images. (CVPR’08). Christian . Yao Li . Fei-Fei. Computer Science Department, Stanford University, USA. Modeling Mutual Context of Object and Human Pose. in Human-Object Interaction Activities. Introduction. Modeling mutual context of object and pose. A general survey of previous works on. Sobhan. . Naderi. . Parizi. September 2009. List of papers. Statistical Analysis of Dynamic Actions. On Space-Time Interest Points. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. Ning. Zhang. 1,2. . . Manohar. . Paluri. 1. . . Marć. Aurelio . Ranzato. . 1. . Trevor Darrell. 2. . . Lumbomir. . Boudev. 1. . 1. . Facebook AI Research . 2. . EECS, UC Berkeley. v. iews . from . the . Yamal. . peninsula. Dmitry . Arzyutov. Peter the Great Museum of Anthropology and Ethnography, . St.Petersburg. , Russia;. University of Aberdeen, Scotland, UK. a. rcticdomus.org. LEAPS Computing . 2015. Ioannis. . Efstathiou. ie24@hw.ac.uk. (slides originally made by Rajiv . Murali). Heriot-Watt . University. Learning Outline. Setting up Eclipse. Simple HelloWorld program.. Basic Object-Oriented Programming Concept. Xiao Sun. Joint work with Yichen Wei. Human Pose Estimation. Problem: localize key points of a person. Input: a single RGB image. Output: 2D or 3D key points. Pose Estimator. RGB Image (person centered). Bangpeng Yao and Li Fei-Fei. Computer Science Department, Stanford University. {bangpeng,feifeili}@cs.stanford.edu. 1. Robots interact with objects. Automatic sports commentary. “Kobe is dunking the ball.”. Quick Reference Guide. Canine . SAR . Defined. Searching for a missing human subject or reasonable part thereof. Body fluids, physical evidence, or weapons are not considered the subject of a valid mutual aid canine search and rescue mission.. Xiao Sun. https://jimmysuen.github.io./. Microsoft Research Asia. Visual Computing Group. Human Pose Estimation. Problem: localize key points of a person. Input: a single RGB image. Output: 2D or 3D key points. 2019.3.15. HOI. 问题. 定义. HOI—Human-Object. . Interaction. HOI-. D. et. 问题. 定义. HOI—Human-Object. . Interaction. 主语. ->Human. 宾语. ->Object. 谓语. ->. . Action. /2011/09/. seq. -paper-of-eye-. rawalpindi. -. medical.html. http://www.missionforvisionusa.org/anatomy/uploaded_images/GrosASlabMfV-702936.jpg. The Human Eye - Structure. 1. Epithelium (cornea). 2. . CS 498: Virtual Reality. UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN. Eric Shaffer. Review: . Imaging Properties of a Lens. Object is at distance > f, its “real image” is in focus at distance .