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)

Direction-based similarity measure to trajectory clustering. - Amir Salarpour; Hassan Khotanlou (IET Signal Process., 2019)

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)

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)

Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding. - Marzieh Mohammadi; Amir Salarpour; Pedram MohajerAnsari (CSICC, 2025)

Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences. - Pedram MohajerAnsari; Amir Salarpour; David Fernandez; Cigdem Kokenoz; Bing Li; Mert D. Pesé (CVPR Workshops, 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 (VehicleSec, 2025)

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification. - Marzieh Mohammadi; Amir Salarpour (WACV, 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, 2025)