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rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos

https://doi.org/10.15607/rss.2015.xi.024

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What this work says

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Diverse M-Best Solutions in Markov Random Fields

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Activity Forecasting

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Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models

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Max-Margin Early Event Detectors

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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

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Max-margin early event detectors

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Conditional models for contextual human motion recognition

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Learning latent structure for activity recognition

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Human-robot collaborative manipulation planning using early prediction of human motion

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CRF-Filters: Discriminative Particle Filters for Sequential State Estimation

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Infinite Hidden Conditional Random Fields for Human Behavior Analysis

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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

inferredcites →https://doi.org/10.1109/tpami.2007.1124openalex-snapshot

Hidden Conditional Random Fields

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Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition

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Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

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Support vector machine learning for interdependent and structured output spaces

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Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data

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Probabilistic robotics

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Learning human activities and object affordances from RGB-D videos

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Probabilistic movement modeling for intention inference in human–robot interaction

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Mean Field Simulation for Monte Carlo Integration

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A Procedure for Computing the K Best Solutions to Discrete Optimization Problems and Its Application to the Shortest Path Problem

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Feature-Based Prediction of Trajectories for Socially Compliant Navigation

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Anticipating Human Activities using Object Affordances for Reactive Robotic Response

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Learning to Recognize Human Activities from Soft Labeled Data

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Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs

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The Ecological Approach to Visual Perception

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The Ecological Approach To Visual Perception

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Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

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Feature-Based Prediction of Trajectories for Socially Compliant Navigation

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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From Category to Scenery: An End-to-End Framework for Multi-person Human-Object Interaction Recognition in Videos

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HierGAT: hierarchical spatial-temporal network with graph and transformer for video HOI detection

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VHOIP: Video-based Human–Object Interaction recognition with CLIP Prior knowledge

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Public Building Geometric Models From Point Clouds: A multidimensional quality evaluation framework

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Human Action Recognition and Prediction for Robotics Applications

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