4 citations · 5 across the 4 of their papers we have counts for
5 papers
Mask2IV: Interaction-Centric Video Generation via Mask Trajectories
Gen Li, Bo Zhao, Jianfei Yang +1
Generating interaction-centric videos, such as those depicting humans or robots interacting with objects, is crucial for embodied intelligence, as they provide rich and diverse vis…
Principles of Visual Tokens for Efficient Video Understanding
Xinyue Hao, Gen Li, Shreyank N Gowda +4
Video understanding has made huge strides in recent years, relying largely on the power of transformers. As this architecture is notoriously expensive and video data is highly redu…
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
Gen Li, Nikolaos Tsagkas, Jifei Song +4
Affordance, defined as the potential actions that an object offers, is crucial for embodied AI agents. For example, such knowledge directs an agent to grasp a knife by the handle f…
One-Shot Open Affordance Learning with Foundation Models
Gen Li, Deqing Sun, Laura Sevilla-Lara +1
We introduce One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel objects and afford…
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
Shreyank N Gowda, Xinyue Hao, Gen Li +3
Deep learning models have revolutionized various fields, from image recognition to natural language processing, by achieving unprecedented levels of accuracy. However, their increa…