Saeed Saadatnejad
EPFL ENAC IIC VITA
GC C1 391 (Bâtiment GC)
Station 18
CH-1015 Lausanne
Web site: Web site: https://vita.epfl.ch/
Fields of expertise
Generative models, Image and video synthesis, Human behavior prediction, Human pose prediction
Biography
Saeed Saadatnejad received the B.Sc. and M.Sc. degrees from the Sharif University of Technology in 2015 and 2018, respectively. He is currently pursuing a Ph.D. degree in computer science with EPFL. He was awarded the EPFL Innovators Fellowship under the Marie-Curie Grant for the doctoral degree. His current research interests are image and video synthesis, deep generative models, and human behavior prediction.Publications
Infoscience publications
A Shared Representation for Photorealistic Driving
A Shared Representation for Photorealistic Driving Simulators
IEEE Transactions on Intelligent Transportation Systems. 2021-12-03. DOI : 10.1109/TITS.2021.3131303.Learning Decoupled Representations for Human Pose
Learning Decoupled Representations for Human Pose Forecasting
2021. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCV 2021), Virtual, October 11-17, 2021. p. 2294-2303. DOI : 10.1109/ICCVW54120.2021.00259.Pedestrian Intention Prediction: A Multi-task Pers
Pedestrian Intention Prediction: A Multi-task Perspective
2020. 9th Symposium of the European Association for Research in Transportation (hEART 2021), Lyon, France, 7-9 April 2021.Selected publications
| Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi, Mohammad Saneian, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi |
Are socially-aware trajectory prediction models really socially-aware? |
| Saeed Saadatnejad, Mohammadhossein Bahari, Ahmad Rahimi, Mohammad Shaverdikondori, Mohammad Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi |
Vehicle trajectory prediction works, but not everywhere |