Modeling Actions through State Changes

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Actions in context

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Learning Multiple Object States from Actions via Large Language Models

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Modeling Long-Term Interactions to Enhance Action Recognition

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Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset

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Egocentric Vision for Visual Market Basket Analysis

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MOSCATO: Predicting Multiple Object State Change through Actions

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Spatio-Temporal Triangular-Chain CRF for Activity Recognition

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Agree to Disagree: Exploring Partial Semantic Consistency Against Visual Deviation for Compositional Zero-Shot Learning

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Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs

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Cluster Assumption-Guided Timestamp-Supervised Temporal Action Segmentation

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A variational causal inference-based method for recognizing object state changes in videos

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Target State Classification by Attention-Based Branch Expansion Network

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Action Modifiers: Learning From Adverbs in Instructional Videos

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Inferring Tasks and Fluents in Videos by Learning Causal Relations

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Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction RecognitionPreprint

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Frontal Low-rank Random Tensors for Fine-grained Action SegmentationPreprint

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Badminton Shot Recognition with LSTM Network

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Intentional Photos from an Unintentional Photographer: Detecting Snap Points in Egocentric Video with a Web Photo Prior

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Multi-level radio tomographic imaging based three-dimensional static body posture sensing

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How Shall We Evaluate Egocentric Action Recognition?

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InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild

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Extraction of object-action and object-state associations from Knowledge Graphs

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An Efficient Micro Control Unit VLSI Design for Wearable Electronics and Sensor Networks

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Predicting Ergonomic Risks During Indoor Object Manipulation Using Spatiotemporal Convolutional Networks.Preprint

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Segmental Spatiotemporal CNNs for Fine-grained Action SegmentationPreprint

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Future Localization from an Egocentric Depth ImagePreprint

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GMM-based Spatial Change Detection from Bimanual Tracking and Point Cloud Differences.

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SEMBED: Semantic Embedding of Egocentric Action VideosPreprint

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Effective and Efficient Hand Detection in Egocentric Videos

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Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications

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MS-MH-TCN: Multi-Stage and Multi-Head Temporal Convolutional Network for Action Segmentation

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Visualization of the Proficiency Level of Assembly Work Using Inertial and Sound Sensors

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Cci: A Causal Counterfactual Inference-Based Method for Object State ChangesPreprint

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Recognition and Modeling of Manipulation Actions

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EgoAfford: Affordance-Aware Zero-Shot Open-Vocabulary Egocentric Action Recognition

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Physically constrained TCN-CRF cascade framework for hydraulic support state recognition under long-tailed distribution

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Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos

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Joint Discovery of Object States and Manipulation Actions

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Recognizing Manipulation Actions from State-TransformationsPreprint

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Multi-Task Learning of Object States and State-Modifying Actions From Web Videos

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