10 citations · 22 across the 31 of their papers we have counts for
13 papers · 1 filter
Graph Canvas for Controllable 3D Scene Generation
Libin Liu, Shen Chen, Sen Jia +6
Spatial intelligence is foundational to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension. Current methodologies for 3…
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting
Ziyang Yan, Yihua Shao, Minwen Liao +7
The creation of 3D scenes has traditionally been both labor-intensive and costly, requiring designers to meticulously configure 3D assets and environments. Recent advancements in g…
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
Cheng-Yen Yang, Hsiang-Wei Huang, Wenhao Chai +2
The Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks but faces challenges in visual object tracking, particularly when managing cro…
GTA: Global Tracklet Association for Multi-Object Tracking in Sports
Jiacheng Sun, Hsiang-Wei Huang, Cheng-Yen Yang +2
Multi-object tracking in sports scenarios has become one of the focal points in computer vision, experiencing significant advancements through the integration of deep learning tech…
Human Motion Instruction Tuning
Lei Li, Sen Jia, Jianhao Wang +6
This paper presents LLaMo (Large Language and Human Motion Assistant), a multimodal framework for human motion instruction tuning. In contrast to conventional instruction-tuning ap…
The Role of Deductive and Inductive Reasoning in Large Language Models
Chengkun Cai, Xu Zhao, Haoliang Liu +5
Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning tasks, yet their reliance on static prompt structures and limited adaptability to complex scenar…
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…
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…
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check
Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang +6
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surp…
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…
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…
MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking
Hsiang-Wei Huang, Cheng-Yen Yang, Wenhao Chai +2
In the field of multi-object tracking (MOT), traditional methods often rely on the Kalman filter for motion prediction, leveraging its strengths in linear motion scenarios. However…