A survey of robot learning strategies for human-robot collaboration in industrial settings
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …
greater demand for manufacturers to be flexible with their products and services. This …
Semantic human activity recognition: A literature review
M Ziaeefard, R Bergevin - Pattern Recognition, 2015 - Elsevier
This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …
semantic features. Unlike low-level features, semantic features describe inherent …
Human action recognition and prediction: A survey
Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …
have been moving from inferring the present state to predicting the future state. Vision-based …
Social lstm: Human trajectory prediction in crowded spaces
Humans navigate complex crowded environments based on social conventions: they
respect personal space, yielding right-of-way and avoid collisions. In our work, we propose a …
respect personal space, yielding right-of-way and avoid collisions. In our work, we propose a …
What would you expect? anticipating egocentric actions with rolling-unrolling lstms and modality attention
A Furnari, GM Farinella - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
Egocentric action anticipation consists in understanding which objects the camera wearer
will interact with in the near future and which actions they will perform. We tackle the …
will interact with in the near future and which actions they will perform. We tackle the …
Rolling-unrolling lstms for action anticipation from first-person video
A Furnari, GM Farinella - IEEE transactions on pattern analysis …, 2020 - ieeexplore.ieee.org
In this paper, we tackle the problem of egocentric action anticipation, ie, predicting what
actions the camera wearer will perform in the near future and which objects they will interact …
actions the camera wearer will perform in the near future and which objects they will interact …
Hierarchical long short-term concurrent memory for human interaction recognition
In this work, we aim to address the problem of human interaction recognition in videos by
exploring the long-term inter-related dynamics among multiple persons. Recently, Long …
exploring the long-term inter-related dynamics among multiple persons. Recently, Long …
Skeleton-based online action prediction using scale selection network
Action prediction is to recognize the class label of an ongoing activity when only a part of it is
observed. In this paper, we focus on online action prediction in streaming 3D skeleton …
observed. In this paper, we focus on online action prediction in streaming 3D skeleton …
Online action detection
In online action detection, the goal is to detect the start of an action in a video stream as
soon as it happens. For instance, if a child is chasing a ball, an autonomous car should …
soon as it happens. For instance, if a child is chasing a ball, an autonomous car should …
Deep sequential context networks for action prediction
This paper proposes efficient and powerful deep networks for action prediction from partially
observed videos containing temporally incomplete action executions. Different from after-the …
observed videos containing temporally incomplete action executions. Different from after-the …