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Learning to Recognize Human Activities from Soft Labeled Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10994-009-5108-8openalex-snapshot
Cutting-plane training of structural SVMs
inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-snapshot
Efficient Graph-Based Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2006.132openalex-snapshot
Hidden Conditional Random Fields for Gesture Recognition
inferredcites →https://doi.org/10.1109/cvpr.2009.5206709openalex-snapshot
Max-margin hidden conditional random fields for human action recognition
inferredcites →https://doi.org/10.1109/cvpr.2012.6247808openalex-snapshot
Learning latent temporal structure for complex event detection
inferredcites →https://doi.org/10.1109/iccv.2013.462openalex-snapshot
Handling Uncertain Tags in Visual Recognition
inferredcites →https://doi.org/10.1109/icra.2012.6224591openalex-snapshot
Unstructured human activity detection from RGBD images
inferredcites →https://doi.org/10.1109/icra.2014.6906983openalex-snapshot
Learning latent structure for activity recognition
inferredcites →https://doi.org/10.1109/iros.2009.5354526openalex-snapshot
Care-O-bot® 3 - creating a product vision for service robot applications by integrating design and technology
inferredcites →https://doi.org/10.1109/iros.2013.6696657openalex-snapshot
Posture recognition with a top-view camera
inferredcites →https://doi.org/10.1109/roman.2014.6926260openalex-snapshot
A two-layered approach to recognize high-level human activities
inferredcites →https://doi.org/10.1109/tpami.2015.2430335openalex-snapshot
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response
inferredcites →https://doi.org/10.1145/1015330.1015341openalex-snapshot
Support vector machine learning for interdependent and structured output spaces
inferredcites →https://doi.org/10.1145/1329125.1329409openalex-snapshot
Conditional random fields for activity recognition
inferredcites →https://doi.org/10.1145/1409635.1409637openalex-snapshot
Accurate activity recognition in a home setting
inferredcites →https://doi.org/10.1145/1553374.1553523openalex-snapshot
Learning structural SVMs with latent variables
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.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/10.2478/pjbr-2013-0007openalex-snapshot
Assistive technology design and development for acceptable robotics companions for ageing years
inferredcites →https://doi.org/10.48550/arxiv.1206.6421openalex-snapshot
Structured Learning from Partial Annotations
inferredcites →https://doi.org/10.5555/1756006.1859925openalex-snapshot
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-46448-0_17openalex-snapshot
Real-Time RGB-D Activity Prediction by Soft Regression
inferred← citeshttps://doi.org/10.1007/978-3-319-60916-4_40openalex-snapshot
Robobarista: Object Part Based Transfer of Manipulation Trajectories from Crowd-Sourcing in 3D Pointclouds
inferred← citeshttps://doi.org/10.1016/b978-0-12-803137-7.00007-0openalex-snapshot
Intention Inference for Human-Robot Collaboration in Assistive Robotics
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.08.020openalex-snapshot
Simultaneous body part and motion identification for human-following robots
inferred← citeshttps://doi.org/10.1109/icra.2016.7487401openalex-snapshot
Watch-Bot: Unsupervised learning for reminding humans of forgotten actions
inferred← citeshttps://doi.org/10.1109/iros.2015.7353719openalex-snapshot
A hierarchical representation for human activity recognition with noisy labels
inferred← citeshttps://doi.org/10.1109/iros.2016.7759141openalex-snapshot
Human intent forecasting using intrinsic kinematic constraints
inferred← citeshttps://doi.org/10.1109/iros.2016.7759595openalex-snapshot
Nonparametric Bayesian models for unsupervised activity recognition and tracking
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
inferred← citeshttps://doi.org/10.1109/roman.2014.6926260openalex-snapshot
A two-layered approach to recognize high-level human activities
inferred← citeshttps://doi.org/10.1109/tase.2016.2624279openalex-snapshot
Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning
inferred← citeshttps://doi.org/10.1109/tpami.2017.2679054openalex-snapshot
Watch-n-Patch: Unsupervised Learning of Actions and Relations
inferred← citeshttps://doi.org/10.1109/tpami.2018.2863279openalex-snapshot
Early Action Prediction by Soft Regression
inferred← citeshttps://doi.org/10.15607/rss.2015.xi.024openalex-snapshot
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos
inferred← citeshttps://doi.org/10.3390/s20030825openalex-snapshot
Zero-Shot Human Activity Recognition Using Non-Visual Sensors
inferred← citeshttps://doi.org/10.3390/s20247115openalex-snapshot
Human Sentiment and Activity Recognition in Disaster Situations Using Social Media Images Based on Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1808.06679openalex-snapshot
Annotation Scaffolds for Object Modeling and Manipulation
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