Transformer for skeleton-based action recognition: A review of recent advances
Skeleton-based action recognition has rapidly become one of the most popular and
essential research topics in computer vision. The task is to analyze the characteristics of …
essential research topics in computer vision. The task is to analyze the characteristics of …
Video unsupervised domain adaptation with deep learning: A comprehensive survey
Video analysis tasks such as action recognition have received increasing research interest
with growing applications in fields such as smart healthcare, thanks to the introduction of …
with growing applications in fields such as smart healthcare, thanks to the introduction of …
Open-world instance segmentation: Top-down learning with bottom-up supervision
Top-down instance segmentation architectures excel with predefined closed-world
taxonomies but exhibit biases and performance degradation in open-world scenarios. In this …
taxonomies but exhibit biases and performance degradation in open-world scenarios. In this …
Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabelled data
Knowing when a trained segmentation model is encountering data that is different to its
training data is important. Understanding and mitigating the effects of this play an important …
training data is important. Understanding and mitigating the effects of this play an important …
A systematic review on open-set segmentation
Open-set semantic segmentation remains yet a challenging task, not only due to the
inherent challenges of pixel-wise classification but also the precise segmentation of …
inherent challenges of pixel-wise classification but also the precise segmentation of …
Knock, knock. Who's there?--Identifying football player jersey numbers with synthetic data
D Bhargavi, EP Coyotl, S Gholami - arXiv preprint arXiv:2203.00734, 2022 - arxiv.org
Automatic player identification is an essential and complex task in sports video analysis.
Different strategies have been devised over the years, but identification based on jersey …
Different strategies have been devised over the years, but identification based on jersey …
Action Jitter Killer: Joint Noise Optimization Cascade for Skeleton-based Action Recognition
Skeleton-based action recognition is a crucial but challenging task in the application of
engineering algorithms. However, due to the inaccurate estimation quality, certain joints that …
engineering algorithms. However, due to the inaccurate estimation quality, certain joints that …
VideoSAM: Open-World Video Segmentation
Video segmentation is essential for advancing robotics and autonomous driving, particularly
in open-world settings where continuous perception and object association across video …
in open-world settings where continuous perception and object association across video …
Sequential Amodal Segmentation via Cumulative Occlusion Learning
To fully understand the 3D context of a single image, a visual system must be able to
segment both the visible and occluded regions of objects, while discerning their occlusion …
segment both the visible and occluded regions of objects, while discerning their occlusion …
Efficient Task-driven Video Data Privacy Protection for Smart Camera Surveillance System
Z Wang, J Hou, G Wu, S Liu, P Luo, X Li - ACM Transactions on Sensor …, 2024 - dl.acm.org
As one of the most commonly used AIoT sensors, smart cameras and their supporting
services, namely cloud video surveillance (CVS) systems, have brought great convenience …
services, namely cloud video surveillance (CVS) systems, have brought great convenience …