Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
Languagebind: Extending video-language pretraining to n-modality by language-based semantic alignment
The video-language (VL) pretraining has achieved remarkable improvement in multiple
downstream tasks. However, the current VL pretraining framework is hard to extend to …
downstream tasks. However, the current VL pretraining framework is hard to extend to …
Uav-human: A large benchmark for human behavior understanding with unmanned aerial vehicles
Human behavior understanding with unmanned aerial vehicles (UAVs) is of great
significance for a wide range of applications, which simultaneously brings an urgent …
significance for a wide range of applications, which simultaneously brings an urgent …
Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …
ensure the security and safety of the population, especially during events involving large …
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition
Existing vision-based action recognition is susceptible to occlusion and appearance
variations, while wearable sensors can alleviate these challenges by capturing human …
variations, while wearable sensors can alleviate these challenges by capturing human …
Home action genome: Cooperative compositional action understanding
Existing research on action recognition treats activities as monolithic events occurring in
videos. Recently, the benefits of formulating actions as a combination of atomic-actions have …
videos. Recently, the benefits of formulating actions as a combination of atomic-actions have …
Multi-gat: A graphical attention-based hierarchical multimodal representation learning approach for human activity recognition
Recognizing human activities is one of the crucial capabilities that a robot needs to have to
be useful around people. Although modern robots are equipped with various types of …
be useful around people. Although modern robots are equipped with various types of …
ActionSense: A multimodal dataset and recording framework for human activities using wearable sensors in a kitchen environment
This paper introduces ActionSense, a multimodal dataset and recording framework with an
emphasis on wearable sensing in a kitchen environment. It provides rich, synchronized data …
emphasis on wearable sensing in a kitchen environment. It provides rich, synchronized data …
Learning from semantic alignment between unpaired multiviews for egocentric video recognition
We are concerned with a challenging scenario in unpaired multiview video learning. In this
case, the model aims to learn comprehensive multiview representations while the cross …
case, the model aims to learn comprehensive multiview representations while the cross …