We have received funding NSF for our project, Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction. Team: Vladimir Pavlovic (PI), Mubbasir Kapadia (Co-PI), Sejong Yoon (Co-PI) Project website: https://project-nucleum.github.io/ …
Our website for the project Human-Building Interaction is now live! The goal of this project is develop techniques to simulate and predict human behaviors in virtual and built-environments, and make …
Our paper, Laying the Foundations of Deep Long-Term Crowd Flow Prediction has been accepted for publication at the European Conference on Computer Vision (ECCV), 2020.
Our paper, Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality has been published in the Journal of the Royal Society Interface
Our paper, Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization has been published in the Computers and Graphics journal.
Our paper, The interaction between map complexity and crowd movement on navigation decisions in virtual reality has been published in the Royal Society Open Science journal.
Our paper, AUTOSIGN: A multi-criteria optimization approach to computer aided design of signage layouts in complex buildings has been published in the Computers and Graphics journal.
Our paper, Gamification of Crowd-Driven Environment Design has been published in the IEEE Computer Graphics and Applications (CG&A) journal.
Our paper, Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks has been published in the International Journal of Computer Vision
Our paper, JOIN: an integrated platform for joint simulation of occupant-building interactions has been published in the Architectural Science Review journal.
