Hi, I’m Cheng Yaw Low (Cheng), a researcher with the Data Science for Humanity, Max Planck Institute for Security and Privacy (MPI-SP), led by Prof. Meeyoung Cha. My research interest primarily focuses on computer vision and biometrics, with specializations in biometric recognition, large-scale synthetic biometric data generation, and biometric template protection. Recently, my team has initiated several new projects, including forest biometrics using remote sensing and multimodal harmful memes detection for social bias mitigation.

News

• Mar. 27, 2025: Awarded the Amazon Research Award (ARA) – Fall 2024 Cycle (Sustainability)
• Mar. 14, 2025: Our journal article has been accepted by the Information Fusion (SCIE, IF 14.8).
  • Paper Title: Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
• Nov. 22, 2024: Joining the Max Planck Institute for Security and Privacy (MPI-SPI), Germany, starting February 2025.
• Sep. 23, 2024: Delivering an invited talk (special lecture series in AI) with Seoul National University of Science and Technology (SeoulTech), South Korea.
  • Talk Title: Ensuring Privacy and Fairness: Face Recognition in the Era of Synthetic Data
• Sep. 07, 2024: Securing a position as one of the winning teams in the Computer Vision for Ecology - Marine Species Classification Challenge, held in conjunction with the European Conference on Computer Vision (ECCV) 2024.
• June 25, 2024: Our journal article has been accepted by the IEEE TIFS (SCIE, IF 6.3).
  • Paper Title: Uncertainty-Aware Face Embedding with Contrastive Learning for Open-Set Evaluation
• June 18, 2024: Attending the CVPR 2024 for an oral presentation.
  • Paper Title: Face Recognition Challenge in the Era of Synthetic Data
• May 13, 2024: Delivering an invited talk (online) with Anhui University, China.
  • Talk Title: Ensuring Privacy and Fairness: Face Recognition in the Era of Synthetic Data
• May 02, 2024: Visiting the Max Planck Institute for Security and Privacy, Bochum, Germany.
  • Talk Title: Unlocking Fairness: Progressing Beyond Bias in Generative Models
• Apr. 29, 2024: Attending Machine Behavior Conference, Berlin, Germany.
• Apr. 11, 2024: Securing a position as one of the winning 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 (SCIE, IF 6.3).
  • Paper Title: 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.
  • Paper Title: Relaxing Gender Constraint for Identity-Consistent Face Synthesis
• Nov. 29, 2023: Visiting the University of Cambridge for a project discussion.
  • Project Title: Bridging the Gap: Advancement in Biometrics for Forest Management
• Nov. 20 ~ 24, 2023: Attending the BMVC 2023 for an oral presentation.
  • Paper Title: SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition
• Nov. 03, 2023: Delivering a talk in the KAIST Urban X Seminar Series
  • Talk Title: Cultivating Greener Cities: Unveiling the Power of Forest Biometrics in Urbanization.
• June 18 ~ 22, 2023: Attending the CVPR 2023 for a poster presentation.
  • Paper Title: Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation

Contact

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