BME (University of Toronto)
- Computer Vision
- Machine Learning
- Video Understanding
- Human Activity Recognition
- Event Understanding
- Human Pose/Motion Estimation and Forecasting
Vida is a Ph.D. student at the University of Toronto (U of T) under Dr. Babak Taati's supervision. She has received her MSc in artificial intelligence and robotics with a focus on computer vision and machine learning from Ferdowsi University of Mashhad (FUM). Vida has recently led a joint research project at the Stanford Vision and Learning (SVL) Lab and Monash University's Vision & Learning for Autonomous AI (VL4AI) Lab on Human Pose Dynamics and Trajectory Forecasting. She organized the ICCV21 workshop on Human Trajectory and Pose Dynamics Forecasting and created a standard benchmark for Social Motion Forecasting (SoMoF). She was also a Research Associate at Machine Vision Lab at FUM for three years. Her work has focused on applying machine learning and computer vision to different industrial projects.
V. Adeli, E. Adeli, I., Reid, J. C. Niebles and H. Rezatofighi. (2020) “Socially and Contextually Aware Human Motion and Pose Forecasting,” IEEE Robotics and Automation Letters (RA-L), 5(4), pp.6033-6040.
V. Adeli, E. Fazl-Ersi, and A. Harati. (2019) “A component-based video content representation for action recognition,” Image and Vision Computing, 90, p.103805.
V. Adeli, M. Ehsanpour, J. C. Niebles, I. Reid, S. Savarese, E. Adeli and H. Rezatofighi. (2021) “TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild,”, IEEE International Conference on Computer Vision (ICCV21).
V. Adeli, E. Adeli, I., Reid, J. C. Niebles and H. Rezatofighi. (2020) “Socially and Contextually Aware Human Motion and Pose Forecasting,” International Conference on Intelligent Robots and Systems (IROS20).
V. Adeli, E. Fazl-Ersi, and A. Harati. (2018) “Enhancing Human Action Recognition through Temporal Saliency,” International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018), Canada.
1st Workshop, Benchmark and Challenge on Human Trajectory and Pose Dynamics Forecasting in the Wild (ICCV 2021). Organizers: Andrew Sharp, Vida Adeli, Juan Carlos Niebles, Ehsan Adeli, Silvio Savarese, and Hamid Rezatofighi. “SoMoF: SOcial MOtion Forecasting Benchmark and Challenge”. http://somof.stanford.edu/