We introduce DragAnything, which utilizes an entity representation to achieve motion control for any object in controllable video generation. Comparison to existing motion control methods, ...

Abstract: 3D human motion prediction, which attempts to foresee the behaviors of human, is an issue of great significance in computer vision. Attention-based neural networks and graph convolution ...

Abstract: Human-computer interaction (HCI) relies on understanding and adapting to users' emotional states. Micro-expressions (MEs), a critical component of emotional perception, are characterized by ...

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including ...

Due to the complex and changing interactions in dynamic scenarios, motion forecasting is a challenging problem in autonomous driving. Most existing works exploit static road graphs to characterize ...