Yiran Tao

Hi there! I am a first year MS in Robotics (MSR) student at the Robotics Institute, Carnegie Mellon University. I am working with Prof. Zackory Erickson in Robotic Caregiving and Human Interaction Lab. I'm fascinated by the potential of robots to collaborate with humans, which is why my current research focuses on developing robot learning algorithms for shared control.

I obtained my bachelor's degree from Wuhan University, China, where I am fortunate to be advised by Prof. Zhenzhong Chen to work on computer vision research. I also spent half a year at Harvard University as well as MIT as a visiting undergraduate student, and was fortunate to be advised by Prof. Hanspeter Pfister to work on biomedical image analysis.

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I am broadly interested in artificial intelligence, computer vision, and their applications to other academic fields.

We address the UVAD problem with a novel idea that aligns with the essence of UVAD: to directly compare events in videos and detect anomalies based on events’ similarities with others.

We build dataset for a novel task, namely video-based person re-identification during nighttime, and propose a temporal weighting appearance-aligned model to tackle this task.

We propose a deep reinforcement learning agent that generates a window of frames containing the most highly correlated information for saliency prediction for each video frame, which assists backbone models to extract temporal information and promotes their performance.

This website is modified from Dr. Jon Barron's public source code.