[10/03/2025] Our paper Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion For Efficient Crack Detection has been accepted for publication at Automation in Construction
[09/30/2025] Demographics-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery has been accepted for presentation at TRB 2026
[09/29/2025] Our paper Demographics-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery has been accepted at NeurIPS 2025!
[09/28/2025] Our paper Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion For Efficient Crack Detection has been accepted for presentation at the TRB 2026 Conference
[09/28/2025] Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement Images has been accepted for presentation at the TRB 2026 Conference
[09/20/2025] Our paper An Enhanced Lightweight Model for Real-time Pavement Condition Index Prediction has been accepted for presentation at the TRB 2026 Conference
[07/12/2025] Three of our research papers have been accepted at ICCV 2025!
[04/29/2025] Our research paper: Saam-Reflectnet: Sign-Aware Attention-Based Multitasking Framework for Integrated Traffic Sign Detection and Retroreflectivity Estimation has been accepted for publication at Expert Systems with Applications
[04/29/2025] Our research paper: Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement Images has been accepted for publication at Construction and Building Materials
[02/26/2025] Our paper A Big Data Approach to Pavement Distress Detection has been accepted for oral presentation at the International Conference on Big Data Analytics 2025
[02/26/2025] Our paper Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations has been accepted for oral presentation at the International Conference on Big Data Analytics 2025
[12/19/2024] Our paper titled Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN has been accepted for publication at IEEE Access
[09/25/2024] Our research paper titled A novel methodological framework for assessing traffic sign retroreflectivity using Lidar data has been accepted for presentation at the TRB 2025 Conference
[09/22/2024] Our paper PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation has been accepted for presentation at the TRB 2025 Annual Conference Meeting