Sejong Yoon

• Associate Professor
• Department of Computer Science
• The College of New Jersey
• P.O. Box 7718, 2000 Pennington Rd., Ewing, NJ 08628
• Office location, hour, and contact information (Best way to contact: Please use email)

My research interests span around artificial intelligence, machine learning, computer vision, multimedia, and pattern recognition. In general, my research goal is to fill in the gap between individual human decision making process and the group-level behavior, which typically based on distributed or decentralized individual decisions, and eventually devise a generalized computational model to reproduce them. We hope the model can cover both low level multi-modal input processing and high level human cognitive processes in a unified framework. To this end, I am actively conducting research on following topics:

• Crowd Motion and Behavior Analysis
• Distributed Machine Learning
• Computational Models for Multimedia Analysis

In the past, I have participated in application-oriented research projects using general machine learning methods and algorithms, including:

• Medical Informatics

You can download some of the research code I (or my student under my supervision) wrote from my github repository.

Recent Publications (Full List)

1. D. Li, M. Schwartz, S. Sohn, S. Yoon, V. Pavlovic, M. Kapadia, “Microscopic Modeling of Attention-based Movement Behaviors,” Transportation Research Part C: Emerging Technologies, Vol. 162, 104583, 2024.
2. C-J. Chang, D. Li, D.A. Patel, P. Goel, S. Moon, S. Sohn, H. Zhou, S. Yoon, V. Pavlovic, M. Kapadia, “Learning from Synthetic Human Group Activities,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2024.
3. K. Hu, S. Yoon, V. Pavlovic, M. Kakapdia, “Toward Realistic Human Crowd Simulations with Data-Driven Parameter Space Exploration,” IEEE International Conference on Artificial Intelligence and Virtual Reality (AIxVR), Los Angeles, CA, USA, 2024.
4. S. Moon, S. Sohn, H. Zhou, S. Yoon, V. Pavlovic, M. Haris, M. Kapadia, “MSI: Maximize Support-Set Information for Few-Shot Segmentation,” International Conference on Computer Vision (ICCV), Paris, France, 2023.
5. S. Moon, S. Sohn, H. Zhou, S. Yoon, V. Pavlovic, M. Haris, M. Kapadia, “HM: Hybrid Masking for Few-Shot Segmentation,” The 17th European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
6. S. Sohn, M. Lee, S. Moon, G. Qiao, M. Usman, S. Yoon, V. Pavlovic, M. Kapadia, “A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction,” Computers & Graphics, Vol. 106, Pages 130-140, 2022.
7. S. Sohn, S. Moon, H. Zhou, M. Lee, S. Yoon, V. Pavlovic, M. Kapadia, “Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction,” The 31st International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, 2022.
8. M. Lee, S. Sohn, S. Moon, S. Yoon, M. Kapadia, V. Pavlovic, “MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 2022.

Active Grants

• National Science Foundation (NSF) Award #1955365 - Project NUCLEUM

Note for Prospective Students

• If you are a current TCNJ student: If you are interested in shadowing, mentored research, capstone project, or any other research project with me, please contact me via email.
• If you are a student in K-12 or other higher education institutions: Thank you for your interest. I currently do not have an opening for any external research assistant positions at all levels. Please note that I receive many emails from students in K-12 schools and I may not be able to reply to all of them. If you are interested in attending TCNJ (fresh high school grad, non-traditional, or transfer), please visit gate.io for more information.
• If you are a student looking for graduate study (Masters or PhD) opportunities: TCNJ is a primarily undergraduate institution. We currently do not have a regular graduate degree program in the field of computer science.
• If you are an active, in-practice K-12 teacher who is looking for computer science education professional development opportunities: Please stay tuned for updates from our departmental website. Please also consider our CS Education Minor to see if that is something for you.

Short Bio: I joined The College of New Jersey in Fall 2016. Before joining TCNJ, I earned my Ph.D. degree in Computer Science at Rutgers, The State University of New Jersey working with Prof. Vladimir Pavlovic in SEQAM group. I also conducted research in medical informatics for my M.S. and B.Eng. degrees at Sogang University, working with Prof. Saejoon Kim. I was fortunate to work in various industrial and government organizations, detailed in my LinkedIn page.