New research pushes boundaries in video analysis and generation

Recent research combines trajectory-based few-shot learning with controllable long video synthesis. The first approach improves action recognition by modeling semantic relationships in compact, tokenized trajectories, while the second enables coherent, very long video generation (over 10 minutes) through multimodal conditioning. Together, these approaches advance machines' ability to understand and create complex temporal visual data.
For more information, please click the links below and be sure to follow the instructions:
https://exe.io/waiguo1
https://exe.io/waiguo2