3 papers
cs.CV2026
OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data
Bin Cao, Sipeng Zheng, Hao Luo +3
Text-to-motion (T2M) generation aims to create realistic human movements from text descriptions, with promising applications in animation and robotics. Despite recent progress, cur…
cs.CV2025
Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model
Bin Cao, Sipeng Zheng, Ye Wang +5
Human motion generation has emerged as a critical technology with transformative potential for real-world applications. However, existing vision-language-motion models (VLMMs) face…
cs.CV2024
The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution
Bin Cao, Yisi Zhang, Hanyi Wang +2
Referring Video Object Segmentation is an emerging multi-modal task that aims to segment objects in the video given a natural language expression. In this work, we build two instan…