Binh M. Le

2024

• Binh M. Le*, Shahroz Tariq, and Simon Woo, " Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense," Asian Conference on Computer Vision (ACCV), Oral, Hanoi, 2024. 

• Lawrence Le, Kim-Cuong Nguyen,  Thanh-Giang La, Duc Nguyen, Binh Le, Punithakumar Kumaradevan, Neelambar Kaipatur, Paul Major, Edmond Lou, "Intraoral Ultrasound Imaging Using a Rotational Transducer with Periodontal Feature Identification by Machine Learning," ACS Sensors (IF=6.94)

• Binh M. Le*, and Simon Woo, "Gradient Alignment for Cross-Domain Face Anti-Spoofing," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024

• Binh M. Le*, and Simon Woo, "SEE: Spherical Embedding Expansion for Improving Deep Metric Learning," The 28th Pasific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD),  Oral, Taiwan, 2024.

2023

• Chingis Oinar*, Binh M. Le*, and Simon Woo, "KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition," IEEE Access (IF=3.47)

• Beomsang Cho*, Binh M. Le*, Jiwon Kim, Simon S. Woo , Shahroz Tariq, Alsharif Abuadbba, and Kristen Moore, "Towards Understanding of Deepfake Videos in the Wild," 32nd ACM International Conference on Information and Knowledge Management (CIKM), UK, 2023.

• Binh M. Le* and Simon Woo, "Quality agnostic deepfake detection with Intra-model Collaborative Learning," International Conference on Computer Vision (ICCV), Paris, France, 2023.

• Chingis Oinar*, Binh M. Le*, and Simon Woo, "Expectation-Maximization via Pretext-Invariant Representations," IEEE Access (IF=3.47)

2022

• Binh M. Le, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, Simon Woo, and Jelena Mirkovic, "Samba: Identifying Inappropriate Videos for Young Children on YouTube," 31st ACM International Conference on Information & Knowledge Management (CIKM), Georgia, USA, 2022

• Shahroz Tariq, Binh M. Le, and Simon Woo, "Towards an Awareness of Time Series Anomaly Detection Mod els' Adversarial Vulnerability," 31st ACM International Conference on Information & Knowledge Management (CIKM), Georgia, USA, 2022

• Binh M. Le and Simon S. Woo, "ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images," Proceedings of the 36th Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Canada, 2022.

2021

• Binh M. Le, and Simon S. Woo, "Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images," International Workshop on Safety and Security of Deep Learning, IJCAI Workshop 2021

• Kim-Cuong T Nguyen, Binh M. Le, Mengxun Li, Fabiana T Almeida, Paul W Major, Neelambar R Kaipatur, Edmond HM Lou, Kumaradevan Punithakumar, Lawrence H Le, "Localization of cementoenamel junction in intraoral ultrasonographs with machine learning," Journal of Dentistry (IF=4.99)

2020

• Thanh-Tu Pham, Binh M. Le, Lawrence H Le, John Andersen, Edmond Lou, "Assessment of hip displacement in children with cerebral palsy using machine learning approach," Medical & Biological Engineering & Computing (IF=2.6)