Factored conditional restricted Boltzmann Machines for modeling motion style

No abstract is available for this paper.

• Publication year

  2009

• Venue

  International Conference on Machine Learning

• Publication date

  2009-06-14

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1145/1553374.1553505
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On the quantitative analysis of deep belief networks

  2008cited by this paper
• Non-linear Latent Factor Models for Revealing Structure in High-dimensional Data

  2008cited by this paper
• Training restricted Boltzmann machines using approximations to the likelihood gradient

  2008cited by this paper
• Multifactor Gaussian process models for style-content separation

  2007cited by this paper
• Modeling image patches with a directed hierarchy of Markov random fields

  2007cited by this paper
• Restricted Boltzmann machines for collaborative filtering

  2007cited by this paper
• Unsupervised Learning of Image Transformations

  2007cited by this paper
• Sparse deep belief net model for visual area V2

  2007cited by this paper
• Learning for Larger Datasets with the Gaussian Process Latent Variable Model

  2007cited by this paper
• Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks

  2006cited by this paper
• A Fast Learning Algorithm for Deep Belief Nets

  2006influential reference
• Learning Motion Style Synthesis from Perceptual Observations

  2006influential reference
• Modeling Human Motion Using Binary Latent Variables

  2006influential reference
• Style translation for human motion

  2005influential reference
• On Contrastive Divergence Learning

  2005cited by this paper
• Exponential Family Harmoniums with an Application to Information Retrieval

  2004cited by this paper
• Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data

  2003cited by this paper
• Training Products of Experts by Minimizing Contrastive Divergence

  2002influential reference
• Unsupervised learning of distributions on binary vectors using two layer networks

  1991cited by this paper
• Information processing in dynamical systems: foundations of harmony theory

  1986cited by this paper
• Style Machines Style Machines

  year unknowncited by this paper

• InterAct: A Large-Scale Dataset of Dynamic, Expressive and Interactive Activities between Two People in Daily Scenarios

  2025cites this paper
• Human Trajectory Prediction Based on a Single Frame of Pose and Initial Velocity Information

  2025cites this paper
• GGMotion: Group Graph Dynamics-Kinematics Network for Human Motion Prediction

  2025influential citation
• Transformer-Based Two-level Approach for Music-driven Dance Choreography

  2024cites this paper
• Music-stylized hierarchical dance synthesis with user control

  2024cites this paper
• A Digital Animation Generation Model Based on Cycle Adversarial Neural Network

  2024cites this paper
• Leveraging Neural Networks to Locate Short-Lived Anomalies in Gas Consumption

  2024cites this paper
• Incorporating Physics Principles for Precise Human Motion Prediction

  2024cites this paper
• A Review of Human Action Recognition Based On Deep Learning

  2024cites this paper
• Deep Learning Applications in Microscopy and Holography for near-field Signal Processing

  2024cites this paper
• Categorical Codebook Matching for Embodied Character Controllers

  2024cites this paper
• Pioneering Prognosis and Management in Neuromuscular Healthcare Using EMG Signal Processing with Advanced Deep Learning Techniques

  2024cites this paper
• Community Detection Algorithm based on Graph Capsule Networks

  2024cites this paper
• Synthesizing Physical Character-Scene Interactions

  2023cites this paper
• A Comprehensive Review of Data‐Driven Co‐Speech Gesture Generation

  2023cites this paper
• Scalable Motion Style Transfer with Constrained Diffusion Generation

  2023cites this paper
• Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments

  2023cites this paper
• Dance Generation by Sound Symbolic Words

  2023cites this paper
• Self-Supervised Spontaneous Latent-Based Facial Expression Sequence Generation

  2023cites this paper
• Neural Boltzmann Machines

  2023cites this paper
• Active learning for data streams: a survey

  2023cites this paper
• Robustness of Deep Learning Models for Vision Tasks

  2023cites this paper
• 3D Dynamic Image Modeling Based on Machine Learning in Film and Television Animation

  2023cites this paper
• EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning

  2023cites this paper
• Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting

  2023cites this paper
• Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction

  2023cites this paper
• Remembering What is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction

  2023cites this paper
• TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis

  2023cites this paper
• A situation-aware emergency evacuation (SAEE) model using multi-agent-based simulation for crisis management after earthquake warning

  2023cites this paper
• FEIN-Z: Autoregressive Behavior Cloning for Speech-Driven Gesture Generation

  2023cites this paper
• Human action recognition based on skeleton features

  2023cites this paper
• A Review of Affective Generation Models

  2022cites this paper
• Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases

  2022cites this paper
• Triangular Character Animation Sampling with Motion, Emotion, and Relation

  2022cites this paper
• PIMNet: Physics-Infused Neural Network for Human Motion Prediction

  2022cites this paper
• GANimator

  2022cites this paper
• Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

  2022cites this paper
• Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines

  2022cites this paper
• Applications of Markov Decision Process Model and Deep Learning in Quantitative Portfolio Management during the COVID-19 Pandemic

  2022cites this paper
• Skeleton-Based Human Motion Prediction With Privileged Supervision

  2022cites this paper
• A CNN-Assisted deep echo state network using multiple Time-Scale dynamic learning reservoirs for generating Short-Term solar energy forecasting

  2022cites this paper
• Unpaired Motion Style Transfer with Motion-Oriented Projection Flow Network

  2022cites this paper
• State-of-the-art video recognition of human action under natural scenes

  2022cites this paper
• Request for CHMP Qualification for Prognostic Covariate Adjustment (PROCOVATM) as an Efficient Statistical Methodology, Intended to Improve the Efficiency of Phase 2 and 3 Clinical Trials by Using Trial Subjects’ Predicted Control Outcomes (Prognostic Scores) in Linear Covariate Adjustment

  2022cites this paper
• Transformer Based Motion In-Betweening

  2022cites this paper
• A Predictive Coding Account for Chaotic Itinerancy

  2021cites this paper
• Autoregressive Stylized Motion Synthesis with Generative Flow

  2021cites this paper
• Choreography cGAN: generating dances with music beats using conditional generative adversarial networks

  2021cites this paper
• Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks

  2021cites this paper
• Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference

  2021cites this paper
• Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module

  2021cites this paper
• Deep Hashing for Motion Capture Data Retrieval

  2021cites this paper
• Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search

  2021cites this paper
• Research on character Action Control Method Based on Multi Phase-Functioned Neural Network and State Machine

  2021cites this paper
• Learn to Dance with AIST++: Music Conditioned 3D Dance Generation

  2021cites this paper
• Region-factorized recurrent attentional network with deep clustering for radar HRRP target recognition

  2021cites this paper
• A causal convolutional neural network for multi-subject motion modeling and generation

  2021cites this paper
• A Deep Learning Framework for Character Gait Motion Control with Physical Model

  2021cites this paper
• GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis

  2021cites this paper
• Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations

  2021cites this paper
• Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics

  2021cites this paper
• Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems

  2021cites this paper
• A Survey on Deep Learning for Skeleton‐Based Human Animation

  2021cites this paper
• A Causal Convolutional Neural Network for Motion Modeling and Synthesis

  2021cites this paper
• Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model

  2021cites this paper
• Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning

  2021cites this paper
• Evaluation of Change Detection Systems Based on Boltzmann Machine

  2021cites this paper
• Fast human motion transfer based on a meta network

  2021cites this paper
• Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction

  2021cites this paper
• Refinements of Approximation Results of Conditional Restricted Boltzmann Machines

  2021cites this paper
• Stochastic Scene-Aware Motion Prediction

  2021cites this paper
• Human motion reconstruction using deep transformer networks

  2021cites this paper
• AI Choreographer: Music Conditioned 3D Dance Generation with AIST++

  2021cites this paper
• Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction

  2021cites this paper
• Conditional restricted Boltzmann machine as a generative model for body-worn sensor signals

  2020cites this paper
• Classification of Dataset Using Deep Belief Networks Clustering Method

  2020cites this paper
• GLANCE ON VARIOUS DEEP LEARNING TECHNIQUES

  2020cites this paper
• Features Reweighting and Selection in ligand-based Virtual Screening for Molecular Similarity Searching Based on Deep Belief Networks

  2020cites this paper
• Motion generation using Center of Mass

  2020cites this paper
• A Novel Deep Belief Network Model Constructed by Improved Conditional RBMs and its Application in RUL Prediction for Hydraulic Pumps

  2020cites this paper
• Learning Human Search Behavior from Egocentric Visual Inputs

  2020cites this paper
• Adult2child: Motion Style Transfer using CycleGANs

  2020cites this paper
• A Structure of Restricted Boltzmann Machine for Modeling System Dynamics

  2020influential citation
• Towards Real-Time Energy Management of Multi-Microgrid Using a Deep Convolution Neural Network and Cooperative Game Approach

  2020cites this paper
• Self-Supervised Learning for Specified Latent Representation

  2020cites this paper
• Recognition and Synthesis of Object Transport Motion

  2020cites this paper
• Improving maritime traffic emission estimations on missing data with CRBMs

  2020cites this paper
• Learned motion matching

  2020cites this paper
• Unpaired motion style transfer from video to animation

  2020cites this paper
• Affective Movement Generation using Laban Effort and Shape and Hidden Markov Models

  2020cites this paper
• Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model

  2020cites this paper
• Bayesian Adversarial Human Motion Synthesis

  2020influential citation
• Multiplicative Interactions and Where to Find Them

  2020cites this paper
• Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction

  2020cites this paper
• Tridirectional Transfer Learning for Predicting Gastric Cancer Morbidity

  2020cites this paper
• Deep Audio-visual Learning: A Survey

  2020cites this paper
• Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people

  2020cites this paper
• Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning

  2020cites this paper
• Bayesian Nonparametric Weight Factorization for Continual Learning

  2020cites this paper
• A variational U‐Net for motion retargeting

  2020cites this paper