| Convolutional neural networks for object detection in aerial imagery for disaster response and recovery Y Pi, ND Nath, AH Behzadan Advanced Engineering Informatics 43, 101009, 2020 | 261 | 2020 |
| Detection and semantic segmentation of disaster damage in UAV footage Y Pi, ND Nath, AH Behzadan Journal of Computing in Civil Engineering 35 (2), 04020063, 2021 | 63 | 2021 |
| Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks Y Pi, N Duffield, AH Behzadan, T Lomax Computational urban science 2 (1), 2, 2022 | 14 | 2022 |
| Disaster impact information retrieval using deep learning object detection in crowdsourced drone footage Y Pi, ND Nath, AH Behzadan EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings …, 2020 | 13 | 2020 |
| Deep learning for visual analytics of the spread of COVID-19 infection in crowded urban environments Y Pi, ND Nath, S Sampathkumar, AH Behzadan Natural Hazards Review 22 (3), 04021019, 2021 | 12 | 2021 |
| Computer vision and multi-object tracking for traffic measurement from campus monitoring cameras Y Pi, N Duffield, AH Behzadan, T Lomax Computing in Civil Engineering 2021, 950-958, 2021 | 7 | 2021 |
| Deep neural networks for drone view localization and mapping in GPS-denied environments Y Pi, ND Nath, AH Behzadan 18th international conference on computing in civil and building engineering …, 2020 | 6 | 2020 |
| Multi-User and Web-based Parametric Modeling with Multiple Visual Programming Tools ST Canadinc, B Wang, Y Pi, W Yan Proceedings of the 38th eCAADe Conference, 19-28, 2020 | 6 | 2020 |
| Lane-specific speed analysis in urban work zones with computer vision Y Pi, N Duffield, A Behzadan, T Lomax Traffic injury prevention 24 (3), 242-250, 2023 | 3 | 2023 |
| Rapid damage estimation of Texas Winter Storm Uri from social media using deep neural networks Y Pi, X Ye, N Duffield, Microsoft AI for Humanitarian Action Group Urban Science 6 (3), 62, 2022 | 3 | 2022 |
| Computer vision algorithms to help decision-making in cattle production P Guarnido-Lopez, Y Pi, J Tao, EDM Mendes, LO Tedeschi Animal Frontiers 14 (6), 11-22, 2024 | 1 | 2024 |
| Using Computer Vision’s Pixel Segmentation to Detect Beef Cattle Feeding Behavior Y Pi, E Mendes, L Tedeschi, J Tao, S Reddy, N Duffield Preprints, 2023 | 1 | 2023 |
| Artificial Intelligence for Aerial Information Retrieval and Mapping in Natural Disasters Y Pi | 1 | 2020 |
| 419 Automated individual animal identification and feeding bunk scoring: a computer vision approach for beef cattle at Calan gate feeding system EDM Mendes, J Wooley, Y Pi, J Tao, LO Tedeschi Journal of Animal Science 102 (Supplement_3), 2-3, 2024 | | 2024 |
| Pedestrian Phone-Related Distracted Behavior Classification in Front-Facing Vehicle Cameras for Road User Safety CS Cheng, Y Pi, T Lomax, N Duffield, AH Behzadan Computing in Civil Engineering 2023, 418-425, 2024 | | 2024 |
| 110 Evaluation of Computer Vision to Analyze Beef Cattle Feeding Behavior EDM Mendes, Y Pi, J Tao, LO Tedeschi Journal of Animal Science 101 (Supplement_3), 2-3, 2023 | | 2023 |
| 6 Hands-On Iii: Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges J Tao, EDM Mendes, Y Pi, A Cassity, RR Male, K Kaniyamattam, ... Journal of Animal Science 101 (Supplement_3), 75-76, 2023 | | 2023 |
| Rapid Disaster Damage Estimation Based On Geo-referenced Social Media Data Y Pi, X Ye, N Duffield AGU Fall Meeting Abstracts 2022, NH14A-03, 2022 | | 2022 |
| Individual Animal Identification and Feed Grading Using Computer Vision and Unsupervised Statistical Clustering Y Pi, J Wooley, EDM Mendes, K Kaniyamattam, LO Tedeschi, J Tao, ... Available at SSRN 4905790, 0 | | |
Amir Behzadan, Ph.D., M.ASCEProfessor, University of Colorado BoulderVerified email at colorado.edu