PPT-Compositional Human Pose Regression

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. Di64256erentiating 8706S 8706f Setting the partial derivatives to 0 produces estimating equations for the regression coe64259cients Because these equations are in general nonlinear they require solution by numerical optimization As in a linear model Can you muster a . Tigger. -like Bounce in your classroom?. What is it?. PPPB (Pose, Pause, Pounce, Bounce) . is a . simple, yet sophisticated, . AfL. (Assessment for Learning) questioning technique to help teachers move from good-to-outstanding. It also helps address differentiation in the classroom and encourages teachers . Column 1. . Make a list of 10 words that describe or associated with MN culture. Get creative! Think differently.. Ex. Nice. Ex. Rural. Column 2. Make a list of 10 words from memories you have while in MN. . Richard . Longstreth. Architecture Degree—University of Pa. Ph.d.. in Architectural History—UC Berkeley. Richard . Longstreth. . . East Providence, Rhode Island. . Providence: Rhode Island Historical Preservation Commission, 1976. . Componen. t-. Based Information Systems. Jan Martijn van der Werf. Organizations cooperate. Bob. Charley. Alice. “Who-knows-who” not transitive!. Dave. Organizations deliver services. Bob. Charley. by. Jayanta. . Mukhopadhyay. Dept. of Computer Science and Engineering,. Indian Institute of Technology, . Kharagpur. 1. Collaborators. Dr. . Aditi. Roy. Prof. . Shamik. . Sural. 2. Motivation. Surveillance. Tompson. , Murphy Stein, Yann . LeCun. , Ken . Perlin. REAL-TIME CONTINUOUS POSE RECOVERY OF . HUMAN HANDS USING CONVOLUTIONAL NETWORKS. Target: low-cost . markerless. . mocap. Full articulated pose with high . Yoga. Equipment. Yoga mat. Yoga ball. Water bottle . Yoga bolster . Yoga strap . Monday (1 hour). Warm up: dog pose, warrior 2 pose, tree pose for 15 minutes. Core yoga for 15 minutes. Arm balances for 5 minutes. 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. 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.”. Yao Lu. Outline. Overview of RGB-D images and sensors. Recognition: human pose, hand gesture. Reconstruction: Kinect fusion. Outline. Overview of RGB-D images and sensors. Recognition: human pose, hand gesture. 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.. 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.