Haoyu Chen

By integrating received signal strength with traditional bearing measurements, this method eliminates the need for lateral sensor motion, revolutionizing motion estimation for energy emitters.

Infra-Swarm achieves centimeter-level positional accuracy in multi-robot swarms while rejecting 99.2% of ambient light interference, enabling robust operation in challenging environments.

Memory consistency in video generation models falters significantly when objects disappear, with state-of-the-art models struggling to recover updated states upon reappearance.

Stop guessing the right action chunk size for your robot: this method uses action entropy to adaptively determine chunk length, leading to smoother and more responsive manipulation.

By explicitly modeling the shift from local independence to global dependencies between facial action units, micro-AU CLIP achieves state-of-the-art performance in micro-expression analysis.

Micro-gesture recognition gets a boost from a new method that uses fine-grained semantic guidance to capture subtle motion differences.

Finally, a speech emotion dataset that captures *real* spontaneous affect, not just acted emotions, opening the door to more realistic models.