Dr. Yi (Joey) Zhou is a Professor at School of AI& Robotics, Hunan University (HNU). He obtained his Ph.D. degree in engineering and computer science from the Australian National University, Canberra, Australia in 2018. He was a visiting scholar at ETH Zurich (2017-2018) and was awarded the NCCR Fellowship Award by the Swiss National Science Foundation for his research on neuromorphic event-based 3D vision. From 2019 to 2021, he was a postdoc research fellow at the HKUST&DJI Innovation Joint Lab, where he proposed the world's first open-source event-based stereo visual odometry (ESVO) system. His research interests consist of state estimation for robotics, neuromorphic event-based vision, geometric computer vision, and autonomous driving. His work was honored as a CVPR 2025 Best Paper Award Finalist. His team secured first place in the M3ED SLAM Challenge at CVPR 2025, along with second place in the event-track of the EvSLAM Challenge at IROS 2025. He serves as an Associate Editor for both IEEE Robotics and Automation Letters.

Yi (Joey) Zhou is most known for:

• Pioneering open-source Event-based SLAM. He proposed and released ESVO, the first open-source software for event-based visual odometry. (Check out ESVO series: [ESVO][ESVO2][EVIV][Stereo-DEVO])

• Pioneering Event-Enhanced Autonomous Driving. He led the team that developed and patented the first event-based time-to-collision (TTC) algorithm and a functional prototype for autonomous vehicles. (Check out EvTTC series: [EvTTC_eccv] [EvTTC_benchmark])