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CVPR
2006
IEEE
15 years 7 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICML
2010
IEEE
15 years 2 months ago
3D Convolutional Neural Networks for Human Action Recognition
We consider the fully automated recognition of actions in uncontrolled environment. Most existing work relies on domain knowledge to construct complex handcrafted features from in...
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
117
Voted
ICPR
2002
IEEE
16 years 2 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
VMV
2001
164views Visualization» more  VMV 2001»
15 years 3 months ago
Visual-Geometric Scene Reconstruction from Image Streams
Visual-geometric scene reconstructions capture the visual appearance and geometry of real 3D scenes from image streams. Depending on the type of camera motion and type of scene st...
Reinhard Koch, Jan-Michael Frahm
137
Voted
CA
1998
IEEE
15 years 6 months ago
Real-Time Facial Animation based upon a Bank of 3D Facial Expressions
The importance of faces in human interaction explains the desire for synthetic faces as a communication vehicle in computer graphics. Unfortunately, animating a face is a very com...
C. Kouadio, Pierre Poulin, P. Lachapelle