most citedTree Counting by Bridging 3D Point Clouds with Imagery

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20241 cited

ScalingGaussian: Enhancing 3D Content Creation with Generative Gaussian Splatting

Shen Chen, Jiale Zhou, Zhongyu Jiang +4

The creation of high-quality 3D assets is paramount for applications in digital heritage preservation, entertainment, and robotics. Traditionally, this process necessitates skilled…

cs.CV2024

RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark

Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan +5

Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applicati…

cs.CV20242 cited

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…

cs.CV2024

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…

cs.CV2023

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.…

cs.CV20231 cited

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…