1 citations · 1 across the 6 of their papers we have counts for
6 papers
AutoMV: An Automatic Multi-Agent System for Music Video Generation
Xiaoxuan Tang, Xinping Lei, Chaoran Zhu +10
Music-to-Video (M2V) generation for full-length songs faces significant challenges. Existing methods produce short, disjointed clips, failing to align visuals with musical structur…
LaVA-Man: Learning Visual Action Representations for Robot Manipulation
Chaoran Zhu, Hengyi Wang, Yik Lung Pang +1
Visual-textual understanding is essential for language-guided robot manipulation. Recent works leverage pre-trained vision-language models to measure the similarity between encoded…
Improving Generalization of Language-Conditioned Robot Manipulation
Chenglin Cui, Chaoran Zhu, Changjae Oh +1
The control of robots for manipulation tasks generally relies on visual input. Recent advances in vision-language models (VLMs) enable the use of natural language instructions to c…
CCTNet: A Circular Convolutional Transformer Network for LiDAR-based Place Recognition Handling Movable Objects Occlusion
Gang Wang, Chaoran Zhu, Qian Xu +4
Place recognition is a fundamental task for robotic application, allowing robots to perform loop closure detection within simultaneous localization and mapping (SLAM), and achieve…
Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
Hengyi Wang, Chaoran Zhu, Ziyin Ma +1
We present methods to estimate the physical properties of household containers and their fillings manipulated by humans. We use a lightweight, pre-trained convolutional neural netw…
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos
Jianqin Yin, Yanchun Wu, Huaping Liu +3
Action repetition counting is to estimate the occurrence times of the repetitive motion in one action, which is a relatively new, important but challenging measurement problem. To…