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

https://doi.org/10.15607/rss.2014.x.015

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Implicit Probabilistic Models of Human Motion for Synthesis and Tracking

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Hallucinating Humans for Learning Robotic Placement of Objects

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Anticipatory Planning for Human-Robot Teams

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Activity Forecasting

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Human Motion Reconstruction and Synthesis of Human Skills

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Perceiving, learning, and exploiting object affordances for autonomous pile manipulation

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Cutting-plane training of structural SVMs

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Numerical optimization

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Hidden Conditional Random Fields for Gesture Recognition

inferredcites →https://doi.org/10.1109/cvpr.2006.15openalex-snapshot

3D People Tracking with Gaussian Process Dynamical Models

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Rank priors for continuous non-linear dimensionality reduction

inferredcites →https://doi.org/10.1109/cvpr.2010.5540220openalex-snapshot

Automatic discovery of meaningful object parts with latent CRFs

inferredcites →https://doi.org/10.1109/cvpr.2011.5995327openalex-snapshot

What makes a chair a chair?

inferredcites →https://doi.org/10.1109/cvpr.2011.5995448openalex-snapshot

From 3D scene geometry to human workspace

inferredcites →https://doi.org/10.1109/cvpr.2013.385openalex-snapshot

Hallucinated Humans as the Hidden Context for Labeling 3D Scenes

inferredcites →https://doi.org/10.1109/cvprw.2009.5206672openalex-snapshot

Rank priors for continuous non-linear dimensionality reduction

inferredcites →https://doi.org/10.1109/hri.2013.6483499openalex-snapshot

Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy

inferredcites →https://doi.org/10.1109/humanoids.2013.7030020openalex-snapshot

Probabilistic human action prediction and wait-sensitive planning for responsive human-robot collaboration

inferredcites →https://doi.org/10.1109/iccv.2007.4408976openalex-snapshot

The Joint Manifold Model for Semi-supervised Multi-valued Regression

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Planning-based prediction for pedestrians

inferredcites →https://doi.org/10.1109/iros.2013.6697019openalex-snapshot

Human-humanoid joint haptic table carrying task with height stabilization using vision

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

Hidden Conditional Random Fields

inferredcites →https://doi.org/10.1109/tpami.2007.1167openalex-snapshot

Gaussian Process Dynamical Models for Human Motion

inferredcites →https://doi.org/10.1109/tpami.2008.91openalex-snapshot

Correction to "Gaussian Process Dynamical Models for Human Motion" [Feb 08 283-298]

inferredcites →https://doi.org/10.1109/tpami.2015.2430335openalex-snapshot

Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

inferredcites →https://doi.org/10.1145/1015706.1015754openalex-snapshot

Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces

inferredcites →https://doi.org/10.1145/1015706.1015755openalex-snapshot

Style-based inverse kinematics

inferredcites →https://doi.org/10.1145/1143844.1143909openalex-snapshot

Local distance preservation in the GP-LVM through back constraints

inferredcites →https://doi.org/10.1145/1186562.1015754openalex-snapshot

Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces

inferredcites →https://doi.org/10.1145/1186562.1015755openalex-snapshot

Style-based inverse kinematics

inferredcites →https://doi.org/10.1177/0278364904048962openalex-snapshot

Learning Motion Patterns of People for Compliant Robot Motion

inferredcites →https://doi.org/10.1177/0278364911426178openalex-snapshot

Incremental learning of full body motion primitives and their sequencing through human motion observation

inferredcites →https://doi.org/10.1177/0278364913478446openalex-snapshot

Learning human activities and object affordances from RGB-D videos

inferredcites →https://doi.org/10.15607/rss.2012.viii.025openalex-snapshot

Feature-Based Prediction of Trajectories for Socially Compliant Navigation

inferredcites →https://doi.org/10.15607/rss.2013.ix.006openalex-snapshot

Anticipating Human Activities using Object Affordances for Reactive Robotic Response

inferredcites →https://doi.org/10.15607/rss.2013.ix.034openalex-snapshot

Infinite Latent Conditional Random Fields for Modeling Environments through Humans

inferredcites →https://doi.org/10.15607/rss.2013.ix.039openalex-snapshot

Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation

inferredcites →https://doi.org/10.15607/rss.2014.x.005openalex-snapshot

Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions

inferredcites →https://doi.org/10.15607/rss.2014.x.006openalex-snapshot

Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception

inferredcites →https://doi.org/10.48550/arxiv.1111.5358openalex-snapshot

Contextually Guided Semantic Labeling and Search for 3D Point Clouds

inferredcites →https://doi.org/10.48550/arxiv.1206.6462openalex-snapshot

Learning Object Arrangements in 3D Scenes using Human Context

inferredcites →https://doi.org/10.48550/arxiv.1306.6294openalex-snapshot

Learning Trajectory Preferences for Manipulators via Iterative Improvement

inferredcites →https://doi.org/10.5555/2447556.2447563openalex-snapshot

Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy

inferredcites →https://doi.org/10.7551/mitpress/9816.003.0030openalex-snapshot

Feature-Based Prediction of Trajectories for Socially Compliant Navigation

inferredcites →https://doi.org/10.7551/mitpress/9816.003.0061openalex-snapshot

Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing

What points at this work

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

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Physically Grounded Spatio-temporal Object Affordances

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Attribute Based Affordance Detection from Human-Object Interaction Images

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Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data

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Fast Prediction of a Worker’s Reaching Motion Without a Skeleton Model (F-PREMO)

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inferred← citeshttps://doi.org/10.1109/icra.2015.7139282openalex-snapshot

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Watch-Bot: Unsupervised learning for reminding humans of forgotten actions

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Considering avoidance and consistency in motion planning for human-robot manipulation in a shared workspace

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A multiple-predictor approach to human motion prediction

inferred← citeshttps://doi.org/10.1109/icra.2017.7989361openalex-snapshot

Action recognition: From static datasets to moving robots

inferred← citeshttps://doi.org/10.1109/icra.2018.8462835openalex-snapshot

Where can i do this? Geometric Affordances from a Single Example with the Interaction Tensor

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Enhanced Human-Robot Collaboration with Intent Prediction using Deep Inverse Reinforcement Learning

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A framework for unsupervised online human reaching motion recognition and early prediction

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Human-robot shared workspace collaboration via hindsight optimization

inferred← citeshttps://doi.org/10.1109/iscit.2017.8261171openalex-snapshot

Unsupervised learning of space-time symmetric patterns in RGB-D videos for 4D human activity detection

inferred← citeshttps://doi.org/10.1109/lra.2020.2974716openalex-snapshot

Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models

inferred← citeshttps://doi.org/10.1109/mcs.2020.3019725openalex-snapshot

Human-in-the-Loop Robot Control for Human-Robot Collaboration: Human Intention Estimation and Safe Trajectory Tracking Control for Collaborative Tasks

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Graph-Based Loop Closure Detection for Interaction Mapping

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

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A Survey of Methods for Safe Human-Robot Interaction

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Geometric Affordance Perception: Leveraging Deep 3D Saliency With the Interaction Tensor

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Research Progress and Development Trend of the Safety of Human-robot Interaction Technology

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Geometric Affordances from a Single Example via the Interaction Tensor

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What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection

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Human Action Recognition and Prediction for Robotics Applications

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Unsupervised Structured Learning Of Human Activities For Robot Perception

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