PPT-Integral Human Pose Regression

Author : ellena-manuel | Published Date : 2018-11-09

Xiao Sun httpsjimmysuengithubio Microsoft Research Asia Visual Computing Group Human Pose Estimation Problem localize key points of a person Input a single RGB image

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Integral Human Pose Regression: Transcript


Xiao Sun httpsjimmysuengithubio 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. adding it all up. Integral Calculus. 1. Goal. Compute the . signed. area . under some portion of an arbitrary curve. Integral Calculus. 2. Divide and Conquer. Integral Calculus. 3. Animatedly. Integral Calculus. 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. Choquet. and the Concave Integrals. Yaarit. . Even. Tel-Aviv University. December 2011. Non-additive integral. Decision making under uncertainty. Game theory . Multi-criteria decision aid (MCDA) . Insurance and financial assets pricing. 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. Pelvic Tilt. 3. Bridge Pose. 4. Rocking. 5. Little Boat Twist. 6. Cat. 7. Swan. 8. Table Balancing Pose. 9. Thread the Needle. 10. Cobra. 11 . Corpse. Rocking. Swan. 1. 2. 3. 4. 5. 6. 7. 8. 9. 0. 1. Chair. Jaroslav Křivánek. Charles University in Prague. http://cgg.mff.cuni.cz/~jaroslav/. Light transport. Geometric optics. emit. travel. absorb. scatter. 2. Jaroslav Křivánek - Path Integral Formulation of Light Transport. 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.”. In linear regression, the assumed function is linear in the coefficients, for example, . .. Regression is nonlinear, when the function is a nonlinear in the coefficients (not x), e.g., . T. he most common use of nonlinear regression is for finding physical constants given measurements.. LA MISU & MOHAMAD SALAM. BAB 5. INTEGRAL. 5.1. Anti . Turunan. (Integral . Tentu. ). Definisi. . . Kita . menyebut. F . suatu. anti . turunan. . f . pada. . selang. I, . yakni. , . jika. F’(. Art and the Future: An Interview with Suzi Gablik by Russ Volckmann One day, I was interviewing a particle physicist (Basarab Nicolescu, Integral Review 4) and he called my attention to the work of a Systems of Cost Accounting. . Integral or Integrated accounting system. : . Financial & cost accounts are merged & single set of books are maintained. Non-integral or Non integrated (independent) accounting system. 2. Dr. Alok Kumar. Logistic regression applications. Dr. Alok Kumar. 3. When is logistic regression suitable. Dr. Alok Kumar. 4. Question. Which of the following sentences are . TRUE.  about . Logistic Regression.

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