Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
Support vector regression with ANOVA decomposition kernels
Advances in kernel methods
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
Multilinear Analysis of Image Ensembles: TensorFaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Practical parameterization of rotations using the exponential map
Journal of Graphics Tools
Human Motion Signatures: Analysis, Synthesis, Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
TensorTextures: multilinear image-based rendering
ACM SIGGRAPH 2004 Papers
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Face transfer with multilinear models
ACM SIGGRAPH 2005 Papers
Kernel-Based Multifactor Analysis for Image Synthesis and Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Priors for People Tracking from Small Training Sets
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Separating Style and Content with Bilinear Models
Neural Computation
GI '06 Proceedings of Graphics Interface 2006
3D People Tracking with Gaussian Process Dynamical Models
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
The Journal of Machine Learning Research
Temporal motion models for monocular and multiview 3D human body tracking
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Monocular 3D tracking of articulated human motion in silhouette and pose manifolds
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Generalizing motion edits with Gaussian processes
ACM Transactions on Graphics (TOG)
Unsupervised hierarchical modeling of locomotion styles
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Factored conditional restricted Boltzmann Machines for modeling motion style
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Synthesis and editing of personalized stylistic human motion
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
A survey on vision-based human action recognition
Image and Vision Computing
Modeling human locomotion with topologically constrained latent variable models
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Style-content separation by anisotropic part scales
ACM SIGGRAPH Asia 2010 papers
Modeling style and variation in human motion
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Learning parametric dynamic movement primitives from multiple demonstrations
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Multifactor feature extraction for human movement recognition
Computer Vision and Image Understanding
Why is the creation of a virtual signer challenging computer animation?
MIG'10 Proceedings of the Third international conference on Motion in games
Two Distributed-State Models For Generating High-Dimensional Time Series
The Journal of Machine Learning Research
A style controller for generating virtual human behaviors
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Real-time stylistic prediction for whole-body human motions
Neural Networks
Gaussian process motion graph models for smooth transitions among multiple actions
Computer Vision and Image Understanding
Performatology: a procedural acting approach for interactive drama in cinematic games
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
Continuous character control with low-dimensional embeddings
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Eyecatch: simulating visuomotor coordination for object interception
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Proceedings of the ACM Symposium on Applied Perception
Diverse motion variations for physics-based character animation
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Simultaneous particle tracking in multi-action motion models with synthesized paths
Image and Vision Computing
Proceedings of the ACM Symposium on Applied Perception
Nonparametric guidance of autoencoder representations using label information
The Journal of Machine Learning Research
| Hi-index | 0.00 |
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functions. By marginalizing over the weights, we obtain a multifactor form of the Gaussian process latent variable model. In this model, each factor is kernelized independently, allowing nonlinear mappings from any particular factor to the data. We learn models for human locomotion data, in which each pose is generated by factors representing the person's identity, gait, and the current state of motion. We demonstrate our approach using time-series prediction, and by synthesizing novel animation from the model.