Francois Rameau bio photo

Francois Rameau

Associate Research Professor

Daejeon, South Korea   Scholar ResearchGate LinkedIn Github e-Mail

Welcome!

I am Francois Rameau, an Assistant Professor at the State University of New York (SUNY) in Korea. I earned my Ph.D. in Vision and Robotics from the University of Burgundy, France, in 2014, supervised by Professors Cedric Demonceaux, Desire Sidibe, and David Fofi. Before my Ph.D., I obtained my Master degree in Vision and Robotics (VIBOT, Erasmus mundus) from the University of Burgundy in 2011. Post-Ph.D., I joined the Korea Advanced Institute of Science and Technology (KAIST) as a postdoctoral researcher. My research interests encompass 3D Computer Vision, Machine Learning, and Collaborative Robotics. I’m passionate about creating innovative computer vision and machine learning strategies for connected and autonomous driving, and fundamental computer vision topics such as visual tracking, camera calibration, and 3D reconstruction. I’ve had the privilege of presenting my work at various venues in fields like machine learning (AAAI, ICLR), robotics (IROS, ICRA, RSS), computer vision (ICCV, ECCV, CVPR, PAMI, IJCV, CVIU), augmented reality (ISMAR, TVCG), intelligent vehicle (IV), and multimedia (ACMM).


Research interests:

  • 3D reconstruction
  • Deep learning
  • cooperative robotics
  • Omnidirectional vision


News:

  • I am glad to announce that I will be teaching at the ANAIS 2023 Summer School (Nepal)
  • Our work on surrounding-images to local HD-map estimation has been accepted to a CVPR-W 2023 Vision-Centric Autonomous Driving (VCAD)
  • Our paper on single image camera calibration has been accepted to TPAMI
  • I am honored to join SUNY Korea (CS department) as an assistant Professor
  • I am serving as a guest editor for MDPI Sensors on the topic of “Multi-Sensor and Multi-Modal Place Localization”
  • One accepted paper to ECCV 2022
  • One IJCV in collaboration with Seokju Lee (Kentech)
  • One paper accepted to ICLR 2022
  • Our calibration toolbox MC-Calib has been published in CVIU
  • One paper published in IJCV
  • Two ICCV 2021 papers accepted
  • One paper accepted to ICRA 2021
  • Two AAAI 2021 papers accepted thanks to the wonderful work a Dawit Mureja
  • One WACV 2021 accepted
  • Our Book chapter on Deep-learning based 3D vision has been published!
  • One CVPR 2020 (Oral) paper acceptance, Congratulations to Fei for his hard word on domain adaptation
  • One ICRA 2020 accepted on RGB-D Slam