We lead innovative computer vision and pattern recognition research, including face detection, identification, person tracking, re-identification, video synopsis, and anomaly detection.
We conduct research on robot perception technologies needed for robots that can understand daily life, grasp arbitrary forms of objects, make ethical decision, and interact with humans.
We develop computer graphics methods such as image-based modeling, simulated environment creation, plenoptic imaging, generative modeling, and neural rendering.
We conduct research on time series processing technologies such as anomaly detection, sequence-based deep learning, digital twin, and recommender system.