Hi, I’m Cheng Yaw Low (Cheng), a research associate with the Data Science Group, Institute for Basic Science, Republic of Korea. My research primarily focuses on computer vision and biometrics, specializing in biometric recognition, biometric template protection, and synthetic biometric data generation. More recently, I have begun a new and exciting project in the field of forest biometrics, exploring innovative ways to apply my expertise in data science to environmental studies.

News

• Apr. 11, 2024: Secured a position as one of the best teams in the Face Recognition Challenge in the Era of Synthetic Data, held in conjunction with the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024.
• Feb. 01, 2024: Our journal article has been published in the IEEE TIFS.
  • Self-Attentive Contrastive Learning for Conditioned Periocular and Face Biometrics.
• Dec. 20 ~ 22, 2023: Attending the KSC 2023 (represented by our undergraduate intern, Kaleb Asfaw) for an oral presentation.
  • Relaxing Gender Constraint for Identity-Consistent Face Synthesis
• Nov. 29, 2023: Visiting the University of Cambridge for a project discussion.
  • Bridging the Gap: Advancement in Biometrics for Forest Management
• Nov. 20 ~ 24, 2023: Attending the BMVC 2023 for an oral presentation.
  • SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition
• Nov. 03, 2023: Delivering a talk in the KAIST Urban X Seminar Series
  • Cultivating Greener Cities: Unveiling the Power of Forest Biometrics in Urbanization.
• June 18 ~ 22, 2023: Attending the CVPR 2023 for a poster presentation.
  • Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation.

Contact

chengyawlow@{gmail.com; ibs.re.kr}