20 papers
CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models
Hsiang-Wei Huang, Junbin Lu, Kuang-Ming Chen +3
Vision-Language Models (VLMs) achieve strong performance on spatial question answering benchmarks, yet it remains unclear whether such gains reflect genuine spatial intelligence. W…
RAM: Recover Any 3D Human Motion in-the-Wild
Sen Jia, Ning Zhu, Jinqin Zhong +4
RAM incorporates a motion-aware semantic tracker with adaptive Kalman filtering to achieve robust identity association under severe occlusions and dynamic interactions. A memory-au…
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…
Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization
Huayu Wang, Bahaa Alattar, Cheng-Yen Yang +5
Temporal stability in glottic opening localization remains challenging due to the complementary weaknesses of single-frame detectors and foundation-model trackers: the former lacks…
UniHPR: Unified Human Pose Representation via Singular Value Contrastive Learning
Zhongyu Jiang, Wenhao Chai, Lei Li +3
In recent years, there has been a growing interest in developing effective alignment pipelines to generate unified representations from different modalities for multi-modal fusion…
Attention Consistency for LLMs Explanation
Tian Lan, Jinyuan Xu, Xue He +2
Understanding the decision-making processes of large language models (LLMs) is essential for their trustworthy development and deployment. However, current interpretability methods…