Personne
Mohammadhossein Bahari
Cette personne n’est plus à l’EPFL
Publications associées (5)
Are socially-aware trajectory prediction models really socially-aware?
Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi
Our transportation field has recently witnessed an arms race of neural network-based trajectory predictors. While these predictors are at the core of many applications such as autonomous navigation or pedestrian flow simulations, their adversarial robustne ...
2022Vehicle trajectory prediction works, but not everywhere
Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Ahmad Rahimi, Saeed Saadatnejad, Mohammadhossein Bahari
Vehicle trajectory prediction is nowadays a fundamental pillar of self-driving cars. Both the industry and research communities have acknowledged the need for such a pillar by providing public benchmarks. While state-of-the-art methods are impressive, i.e. ...
IEEE2022Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Alexandre Massoud Alahi, Ismail Nejjar, Mohammadhossein Bahari
Vehicle trajectory prediction tasks have been commonly tackled from two distinct perspectives: either with knowledge-driven methods or more recently with data-driven ones. On the one hand, we can explicitly implement domain-knowledge or physical priors suc ...
2021Modified Joint Channel-and-Data Estimation for One-Bit Massive MIMO
Mahdi Amiri, Saeed Saadatnejad, Mohammadhossein Bahari
Centralized and cloud computing-based network architectures are the promising tracks of future communication systems where a large scale compute power can be virtualized for various algorithms. These architectures rely on high-performance communication lin ...
IEEE2021Feed-forwards meet recurrent networks in vehicle trajectory prediction
Alexandre Massoud Alahi, Mohammadhossein Bahari
For an autonomous car, getting surprised is the worst thing that can happen. To prevent that, plenty of studies are trying to forecast traffic participants’ actions especially in an urban scene using recurrent networks. Recurrent networks are used for temp ...
2019