Amir Salarpour

According to our database, Amir Salarpour authored at least 16 papers between 2015 and 2026.

Collaborative distances:

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

2026

Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis.

David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pesé

CoRR, April, 2026

Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures.

David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Long Cheng, Abolfazl Razi, Mert D. Pesé

CoRR, March, 2026

SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition.

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé

CoRR, March, 2026

NPNet: A Non-Parametric Network with Adaptive Gaussian-Fourier Positional Encoding for 3D Classification and Segmentation.

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé

CoRR, February, 2026

FlexMap: Generalized HD Map Construction from Flexible Camera Configurations.

Run Wang, Chaoyi Zhou, Amir Salarpour, Xi Liu, Zhi-Qi Cheng, Feng Luo, Mert D. Pesé, Siyu Huang

CoRR, January, 2026

2025

David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation.

Philipp Bauerfeind, Amir Salarpour, David Fernandez, Pedram MohajerAnsari, Johannes Reschke, Mert D. Pesé

CoRR, October, 2025

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet.

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari

CoRR, September, 2025

On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving.

Pedram MohajerAnsari, Amir Salarpour, Michael Kühr, Siyu Huang, Mohammad Hamad, Sebastian Steinhorst, Habeeb Olufowobi, Mert D. Pesé

CoRR, June, 2025

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification.

Marzieh Mohammadi, Amir Salarpour

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles.

David Fernandez, Pedram MohajerAnsari, Cigdem Kokenoz, Amir Salarpour, Bing Li, Mert D. Pesé

Proceedings of the 3rd USENIX Symposium on Vehicle Security and Privacy, 2025

Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences.

Pedram MohajerAnsari, Amir Salarpour, David Fernandez, Cigdem Kokenoz, Bing Li, Mert D. Pesé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding.

Marzieh Mohammadi, Amir Salarpour, Pedram MohajerAnsari

Proceedings of the 29th International Computer Conference, Computer Society of Iran, 2025

2024

Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles.

Pedram MohajerAnsari, Alkim Domeke, Jan de Voor, Arkajyoti Mitra, Grace Johnson, Amir Salarpour, Habeeb Olufowobi, Mohammad Hamad, Mert D. Pesé

CoRR, 2024

2020

Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis.

S. M. Moein Peyghambarzadeh, Fatemeh Azizmalayeri, Hassan Khotanlou, Amir Salarpour

Digit. Signal Process., 2020

2019

Direction-based similarity measure to trajectory clustering.

Amir Salarpour, Hassan Khotanlou

IET Signal Process., 2019

2015

Artificial Neural Networks and Advanced Fuzzy Techniques for Predicting Noise Level in the Industrial Embroidery Workrooms.

Mohsen Aliabadi, Rostam Golmohammadi, Hassan Khotanlou, Muharram Mansoorizadeh, Amir Salarpour

Appl. Artif. Intell., 2015