Deep learning for medical anomaly detection–a survey
Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …
extensively studied. Numerous approaches have been proposed across various medical …
Asformer: Transformer for action segmentation
Algorithms for the action segmentation task typically use temporal models to predict what
action is occurring at each frame for a minute-long daily activity. Recent studies have shown …
action is occurring at each frame for a minute-long daily activity. Recent studies have shown …
TMMF: Temporal multi-modal fusion for single-stage continuous gesture recognition
Gesture recognition is a much studied research area which has myriad real-world
applications including robotics and human-machine interaction. Current gesture recognition …
applications including robotics and human-machine interaction. Current gesture recognition …
A multi-task learning approach for human activity segmentation and ergonomics risk assessment
B Parsa, AG Banerjee - … of the IEEE/CVF Winter Conference …, 2021 - openaccess.thecvf.com
We propose a new approach to Human Activity Evaluation (HAE) in long videos using graph-
based multi-task modeling. Previous works in activity evaluation either directly compute a …
based multi-task modeling. Previous works in activity evaluation either directly compute a …
Progressive sample mining and representation learning for one-shot person re-identification
In this paper, we aim to tackle the one-shot person re-identification problem where only one
image is labelled for each person, while other images are unlabelled. This task is …
image is labelled for each person, while other images are unlabelled. This task is …
Skeleton-based human action recognition on large-scale datasets
Abstract Skeleton-based Human Action Recognition (SHAR) is one of the most trending
research topics in computer vision, which relies on the investigation of multi-modal data …
research topics in computer vision, which relies on the investigation of multi-modal data …
Manual assembly action segmentation method based on spatiotemporal features
GZ Yang, L Pei, KZ Xin, CZ Yi - 2021 China Automation …, 2021 - ieeexplore.ieee.org
Accurate segmentation of manual assembly action in an uncertain assembly scene is the
premise and important foundation of robot autonomous learning to obtain action sequence …
premise and important foundation of robot autonomous learning to obtain action sequence …