Search Results for author: Mohammad Mahdavian

Found 3 papers, 2 papers with code

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

1 code implementation19 Oct 2023 Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen

In end-to-end autonomous driving, the utilization of existing sensor fusion techniques and navigational control methods for imitation learning proves inadequate in challenging situations that involve numerous dynamic agents.

Autonomous Driving Imitation Learning +3

STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead

1 code implementation15 Sep 2022 Mohammad Mahdavian, Payam Nikdel, Mahdi TaherAhmadi, Mo Chen

The proposed architecture divides human motion prediction into two parts: 1) the human trajectory, which is the hip joint 3D position over time and 2) the human pose which is the all other joints 3D positions over time with respect to a fixed hip joint.

Human motion prediction motion prediction +1

DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network

no code implementations13 Sep 2022 Payam Nikdel, Mohammad Mahdavian, Mo Chen

We show that our system outperforms the state-of-the-art in human motion prediction while it can predict diverse multi-motion future trajectories with hip movements

Human motion prediction motion prediction

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