Recent advancements in multimodal large language models (MLLMs) have made significant
progress in integrating information across various modalities, yet real-world applications in …

Robotic manipulation tasks often span over long horizons and encapsulate multiple
subtasks with different skills. Learning policies directly from long-horizon demonstrations is …

Despite the great advances in video understanding with deep neural networks, current
solutions still struggle with input videos that last for minutes, if not hours. To mitigate this …