A systematic approach to the modeling of deformable ne linear objects is presented. Various deformable objects are manipulated in many manufacturing processes. Deformation of the...
We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation...
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Psychological experiments on children's development of spatial knowledge suggest experience at self-locomotion with visual tracking as important factors. Yet, the mechanism u...
This paper presents an efficient and scalable coding scheme for transmitting a stream of 3D models extracted from a video. As in classical model-based video coding, the geometry, ...