Human Pose, Shape and Action
3D Pose from Images
2D Pose from Images
Beyond Motion Capture
Action and Behavior
Body Perception
Body Applications
Pose and Motion Priors
Clothing Models (2011-2015)
Reflectance Filtering
Learning on Manifolds
Markerless Animal Motion Capture
Multi-Camera Capture
2D Pose from Optical Flow
Body Perception
Neural Prosthetics and Decoding
Part-based Body Models
Intrinsic Depth
Lie Bodies
Layers, Time and Segmentation
Understanding Action Recognition (JHMDB)
Intrinsic Video
Intrinsic Images
Action Recognition with Tracking
Neural Control of Grasping
Flowing Puppets
Faces
Deformable Structures
Model-based Anthropometry
Modeling 3D Human Breathing
Optical flow in the LGN
FlowCap
Smooth Loops from Unconstrained Video
PCA Flow
Efficient and Scalable Inference
Motion Blur in Layers
Facade Segmentation
Smooth Metric Learning
Robust PCA
3D Recognition
Object Detection
Human Planning and Decision-Making
] with resource-rational analysis [], computational modeling, and large scale online experiments. We have developed a resource-rational model of the computational mechanisms of human planning [], empirically characterized the corresponding strategies of human planning [], and derived common strategies of financial decision-making under uncertainty from the principle of resource rationality [].
We investigate which cognitive strategies people use for planning and decision-making. Our approach combines new empirical and computational methods for inferring the cognitive strategies of human planning from observable behavior [] with resource-rational analysis [], computational modeling, and large scale online experiments. We have developed a resource-rational model of the computational mechanisms of human planning [], empirically characterized the corresponding strategies of human planning [], and derived common strategies of financial decision-making under uncertainty from the principle of resource rationality [].
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