Amirreza Payandeh

According to our database, Amirreza Payandeh authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Socially Aware Robot Navigation through Scoring Using Vision-Language Models.

Daeun Song, Jing Liang, Amirreza Payandeh, Xuesu Xiao, Dinesh Manocha

CoRR, 2024

DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation.

Jing Liang, Amirreza Payandeh, Daeun Song, Xuesu Xiao, Dinesh Manocha

CoRR, 2024

VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training.

Mohammad Nazeri, Junzhe Wang, Amirreza Payandeh, Xuesu Xiao

CoRR, 2024

Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds.

Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

How Susceptible Are LLMs to Logical Fallacies?

Amirreza Payandeh, Dan Pluth, Jordan Hosier, Xuesu Xiao, Vijay K. Gurbani

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Targeted Learning: A Hybrid Approach to Social Robot Navigation.

Amir Hossain Raj, Zichao Hu, Haresh Karnan, Rohan Chandra, Amirreza Payandeh, Luisa Mao, Peter Stone, Joydeep Biswas, Xuesu Xiao

CoRR, 2023

Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges.

Amirreza Payandeh, Kourosh Teimouri Baghaei, Pooya Fayyazsanavi, Somayeh Bakhtiari Ramezani, Zhiqian Chen, Shahram Rahimi

IEEE Access, 2023

Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset.

Duc M. Nguyen, Mohammad Nazeri, Amirreza Payandeh, Aniket Datar, Xuesu Xiao

IROS, 2023

Understanding the Language of ADHD and Autism Communities on Social Media.

Niloofar Kalantari, Amirreza Payandeh, Marcos Zampieri, Vivian Genaro Motti

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges.

Kourosh Teimouri Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Shahram Rahimi, Zhiqian Chen, Somayeh Bakhtiari Ramezani

CoRR, 2022