Mikhail Kennerley

Hello! I am a PhD Candidate working on high-level Computer Vision at the National University of Singapore (ECE) under the supervision of Prof. Robby Tan and Prof. Bharadwaj Veeravalli. I’m also affiliated with I2R, A*STAR under the supervision of Dr. Wang Jian-Gang. My research focuses on domain adaptation for adverse weather conditions and semi-supervised learning.

Outside of research, I lead a series of career-based workshops in Mendaki Club for youths in the Malay/Muslim community.

Don’t hesitate to get in touch!

Email  /  Google Scholar  /  Twitter  /  Github

• March 2025: Visiting the Cambridge Image Analysis group led by Prof. Carola-Bibiane Schönlieb for 3 months.
• June 2024: Starting my internship in HTX Sense-making & Surveillance.
• Feb 2024: Paper on class-imbalance in domain adaptive object detection accepted into CVPR'24!
• Nov 2023: Invited to be part of a Youth Panel to work with MCI on developing policies on Digital Well-being.
• Aug 2023: Participated in Our Singapore Leadership Programme by the National Youth Council (NYC).

My current research revolves around domain adaptation and imbalanced classes for object detection. I am also interested in generative datasets to aid in domain generalisation.

Label Transfer from multiple source object detection datasets to a target label space. Code soon to be released.

Using inter-class relations to address the class-imbalance problem in domain adaptive object detection.

Utilising low-confidence samples in the student-teacher network to learn more of the target domain.

Website template stolen from Jon Barron.