Transrac: Encoding multi-scale temporal correlation with transformers for repetitive action counting
Counting repetitive actions are widely seen in human activities such as physical exercise.
Existing methods focus on performing repetitive action counting in short videos, which is …
Existing methods focus on performing repetitive action counting in short videos, which is …
Real-time monitoring for manual operations with machine vision in smart manufacturing
P Lou, J Li, YH Zeng, B Chen, X Zhang - Journal of Manufacturing Systems, 2022 - Elsevier
Online real-time production process monitoring is the basis for intelligent manufacturing
refinement management. This paper proposes a contactless monitoring framework with …
refinement management. This paper proposes a contactless monitoring framework with …
Repetitive activity counting by sight and sound
This paper strives for repetitive activity counting in videos. Different from existing works,
which all analyze the visual video content only, we incorporate for the first time the …
which all analyze the visual video content only, we incorporate for the first time the …
Automatic repetitive action counting for construction worker ergonomic assessment
Work-related musculoskeletal disorders are the primary cause of nonfatal occupational
injuries in the construction industry. Accurate ergonomic assessment is essential to reduce …
injuries in the construction industry. Accurate ergonomic assessment is essential to reduce …
Poserac: Pose saliency transformer for repetitive action counting
This paper presents a significant contribution to the field of repetitive action counting through
the introduction of a new approach called Pose Saliency Representation. The proposed …
the introduction of a new approach called Pose Saliency Representation. The proposed …
Repetitive Action Counting with Hybrid Temporal Relation Modeling
Repetitive Action Counting (RAC) aims to count the number of repetitive actions occurring in
videos. In the real world, repetitive actions have great diversity and bring numerous …
videos. In the real world, repetitive actions have great diversity and bring numerous …
Deep learning approaches for workout repetition counting and validation
The study of the human body motion throughout different activities is one of the most
challenging and long-standing problems in Computer Vision. With the recent advances in …
challenging and long-standing problems in Computer Vision. With the recent advances in …
Learning periodic tasks from human demonstrations
We develop a method for learning periodic tasks from visual demonstrations. The core idea
is to leverage periodicity in the policy structure to model periodic aspects of the tasks. We …
is to leverage periodicity in the policy structure to model periodic aspects of the tasks. We …
How severe is benchmark-sensitivity in video self-supervised learning?
Despite the recent success of video self-supervised learning models, there is much still to be
understood about their generalization capability. In this paper, we investigate how sensitive …
understood about their generalization capability. In this paper, we investigate how sensitive …
View-agnostic Human Exercise Cataloging with Single MmWave Radar
Advances in mmWave-based sensing have enabled a privacy-friendly approach to pose
and gesture recognition. Yet, providing robustness with the sparsity of reflected signals has …
and gesture recognition. Yet, providing robustness with the sparsity of reflected signals has …