CAAD Futures 2025
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Research
ArchSeek: Retrieving Architectural Case Studies Using Vision-Language Models
From Words to Worlds: Transforming One-line Prompts into Multi-modal Digital Stories with LLM Agents
ACM SIGGRAPH Conference on Motion, Interaction, and Games (MIG 2024)
Utilizing Large Language Models as an organizer of various generative tools, the StoryAgent framework automates digital storytelling with fine-grained control over intermediate products.
Microscopic modeling of attention-based movement behaviors
Transportation Research Part C: Emerging Technologies
How will attention affect walking speed in retail areas? We model how pedestrians will be attracted to environmental objects and how this will slow down their walking speed. Then we show how our model can help optimize the design of retail areas in transportation hubs.
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
Accepted by 2024 International Conference on Pattern Recognition (ICPR)
We form the trajectory prediction problem as a denoising impaint task and design a map-based guidance term for the diffusion process. TrajDiffuse is able to generate trajectory predictions that match or exceed the accuracy and diversity of the SOTA, while adhering almost perfectly to environmental constraints.
Learning from Synthetic Human Group Activities
CVPR 2024
A synthetic data generator for multi-view multi-group multi-person human atomic actions and group activities, which facilitates the learning of human-centered tasks across single-person, multi-person, and multi-group conditions.
Influence of Security Check Procedures on Transfer Efficiency from Railway Stations to Subways
Journal of Tongji University
The influence of arriving passengers and the interaction effects between external factors are compared in two scenarios: the mutual recognition of security checks and the application of face recognition systems.
How Do Retail Stores Affect Pedestrian Walking Speed?
Traffic and Granular Flow 2022
A detailed empirical observations that focus on pedestrian speed variations and their dynamics in front of stores.
Sensitivity Analysis of Pedestrian Simulation on Train station platforms
CAADRIA 2021
Which parameters are most sensitive, thus most important to calibrate, in pedestrian simulation models on train station platforms? We conduct a sensitivity analysis to answer this question.
Quantification and Typology Methods for Spatial Regionalism
CAADRIA 2021
We propose a method to quantify spatial regionalism and a typology to classify different types of spatial regionalism.