Michael Hobley, Ph.D.
Postdoctoral Researcher @ Caltech
ML Product Owner @ Noonien
Postdoctoral Researcher @ Caltech
ML Product Owner @ Noonien
I am currently a postdoctoral researcher in the Perona Lab at
Caltech working in AI for ecology.
I am also the founder of Noonien, a Machine Learning consultancy engineering custom solutions for businesses and
individuals.
I am a recent DPhil graduate in Computer Vision and Machine Learning from the
Active Vision Laboratory group at the Engineering
Science department of the University of Oxford.
My research interests and experience are broad, spanning: computer vision for ecology, weakly-supervised computer
vision, active acoustics, low-SNR vision, large-scale data understanding, and engineering pipeline acceleration.
News
- 2026/03/10
- Presented SAVeD at WACV.
- 2026/03/07
- Presented at California Council on Science & Technology AI in Action Showcase and AI Academy Panel Discussion.
- 2026/01
- Instructed at CV4E.
- 2025/11/18
- Presented at the CDO SoCal Summit as part of a panel on preparing people for the Age of Intelligence.
- 2025/10
- Deployed Fisheye to the site of the former Iron Gate Dam on the Klamath River.
- 2025/06/10
- Presented Fisheye to Visipedia Boston.
- 2025/05/01
- EngineBench published in the International Journal of Engine Research.
- 2025/03/31
- SAVeD announced code released.
- 2025/01/08
- Started postdoctoral research position at Caltech focusing on AI for ecology, working as the Head Scientist on FishEye.
- 2024/10/01
- Presented ABC123 as an Oral at ECCV Milan.
- 2024/06/05
- EngineBench announced, code and dataset released.
- 2024/05/21
- Noonien Ltd. founded to deliver bespoke machine learning solutions to business and individual clients. Noonien's initial contracts are with state of the art engineering research and development companies.
- 2024/05/19
- ABC Easy as 123 code release and MCAC Dataset release.
- 2024/05/09
- Presented PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction at ICLR.
- 2024/04/29
- Completed DPhil at Oxford. Counting with Limited Supervision was supervised by Victor Prisacariu and was examined by Minh Hoai Nguyen and Ioannis Havoutis.
- 2023/06/18
- Presented Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision at CVPR.
- 2022/07/01
- Learning to Count Anything code release and FSC-133 dataset release.
- 2018/12/03
- Presented Say Yes to the Dress: Shape and Style Transfer Using Conditional GANs at ACCV.
- 2018/10/01
- Started DPhil in the Active Vision Laboratory, University of Oxford.