2 citations · 4 across the 7 of their papers we have counts for
7 papers
ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment
Hsiang-Wei Huang, Jiacheng Sun, Cheng-Yen Yang +4
Assessing gross motor development in toddlers is crucial for understanding their physical development and identifying potential developmental delays or disorders. However, existing…
Tree Counting by Bridging 3D Point Clouds with Imagery
Lei Li, Tianfang Zhang, Zhongyu Jiang +6
Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, an…
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video
Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang +3
Dense object counting or crowd counting has come a long way thanks to the recent development in the vision community. However, indiscernible object counting, which aims to count th…
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation
Zhuoran Zhou, Zhongyu Jiang, Wenhao Chai +3
Although 3D human pose estimation has gained impressive development in recent years, only a few works focus on infants, that have different bone lengths and also have limited data.…
Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring
Cheng-Yen Yang, Alan Yu Shyang Tan, Melanie J. Underwood +6
The aim of in-trawl catch monitoring for use in fishing operations is to detect, track and classify fish targets in real-time from video footage. Information gathered could be used…
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations
Cheng-Yen Yang, Jiajia Luo, Lu Xia +5
To improve the generalization of 3D human pose estimators, many existing deep learning based models focus on adding different augmentations to training poses. However, data augment…