3 papers
cs.RO2026
Action-Effect Memory Pretraining for Robot Manipulation
Yijing Zhou, Qiwei Liang, Sitong Zhuang +5
We present AEM, an Action-Effect Memory pretraining framework for robot manipulation that learns compact temporal representations from vision-action history. Unlike prior robot rep…
cs.RO2026
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
Qiwei Liang, Boyang Cai, Minghao Lai +6
Despite strong results on recognition and segmentation, current 3D visual pre-training methods often underperform on robotic manipulation. We attribute this gap to two factors: the…
cs.CV2025
Temporal Action Detection Model Compression by Progressive Block Drop
Xiaoyong Chen, Yong Guo, Jiaming Liang +3
Temporal action detection (TAD) aims to identify and localize action instances in untrimmed videos, which is essential for various video understanding tasks. However, recent improv…