Sejong Yoon

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:

I have participated in other application research projects using general machine learning methods and algorithms, too, including:

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. 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. [publisher]
  2. 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. [page]
  3. 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 Reconition (CVPR), New Orleans, 2022. [page]
  4. S. Sohn, M. Lee, S. Moon, G. Qiao, M. Usman, S. Yoon, V. Pavlovic, M. Kapadia, “A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction,” The 14th ACM SIGGRAPH conference on Motion, Interaction and Games (MIG), Online, 2021. [page]
  5. S. Sohn, H. Zhou, S. Moon, S. Yoon, V. Pavlovic, M. Kapadia, “Laying the Foundations of Deep Long-Term Crowd Flow Prediction,” The 16th European Conference on Computer Vision (ECCV), Online, 2020. [page]
  6. K. Hu, S. Yoon, V. Pavlovic, P. Faloutsos, M. Kapadia, “Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization,” Computers & Graphics, Vol. 88, Pages 83-96, 2020. [publisher]
  7. S. Yoon, “PyPlat: A Flexible Platform Game Project,” in T. Neller, et al., “Model AI Assignments,” The 10th Symposium on Educational Advances in Artifical Intelligence (EAAI) in conjunction with AAAI Conference on Artificial Intelligence (AAAI), New York, New York, USA, 2020. [pdf] [page]

Active Grants

Note for TCNJ students: If you are interested in shadowing, mentored research, capstone project, or any other research project with me, please contact me via email.

Note for students in other schools (K-12, undergraduates): Thank you for your interest. I am currently not accepting any external research assistant at all levels.

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.