Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Mykhaylo Andriluka
Also published under:M. Andriluka
Affiliation
Google Research
Topic
Human Pose,Human Pose Estimation,Pose Estimation,Human Motion,Physical Simulation,Benchmark,Body Joints,Body Pose,Body Shape,Ground Plane,Joint Position,Motor Simulation,Neural Network,Objective Function,Training Set,Trajectory Optimization,3D Human Motion,3D Human Pose,3D Pose,Acceleration Variance,Accuracy Metrics,Accuracy Of Pose Estimation,Body Model,Body Parts,Bounding Box,Classical Optimization,Computer Vision,Controlled Laboratory Conditions,Descent Direction,Dynamic Motion,Dynamical,Element Of Vector,Evaluation Of Function,External Force,Functional Profiles,Geometric Primitives,Global Optimization,Gradient Descent,Gradient-based Methods,Gradient-based Optimization,Graph Partitioning,Ground Truth 3D,Held-out Test Set,Human Model,Internet Video,Joint Angles,Key Frames,Learning Rate,Local Search,Loss Function,
Biography
Micha Andriluka is a visiting assistant professor in computer science
at Stanford and a group leader in the Max-Planck-Center for Visual Computing and Communication (Stanford/MPI for
Informatics). His research interests include people detection, articulated pose estimation, and machine learning.