Apr 22, 2020 · Our results show the subjects were able to predict actions in, on average, less than 64% of the action's duration.
The manuscript entitled “Human and Machine Action Prediction Independent of Object Information” explores action prediction algorithms under no context condition ...
Jun 17, 2022 · We observed that trying to infer why an agent is gazing toward an object is faster when people observe humans compared to non-human agents.
Mar 27, 2023 · This study investigated the utility of supervised machine learning (SML) and explainable artificial intelligence (AI) techniques for modeling and understanding ...
May 2, 2024 · In reality, humans and machines can complement each other. Previous research finds that the decision-making accuracy of machine learning ...
We incorporate multiple computer vision models into our system to compute the above transition probabilities for all actions of Table 1: (1) Detection.
Dec 23, 2023 · We propose a novel method that combines the skeletal method with object detection to accurately predict a set of human, verb, object triplets in a video frame.
We thoroughly analyse, explain, and compare action segmentation methods and provide details on the feature extraction and learning strategies that are used on ...
Missing: Independent | Show results with:Independent
Human and Machine Action Prediction Independent of Object Information ... human action prediction based on (minimal) spatial information · Fatemeh Ziaeetabar ...
Human–object interactions (HOI) detection aims at capturing human–object pairs in images and predicting their actions. It is an essential step for many ...