Research record

Publications

33 publications spanning secure autonomous perception, vision-language models, 3D computer vision, and earlier work in signal processing and machine learning.

33 publications shown

2026

BMVC2026Conference paperAccepted

GATE: Reliability-Gated Gaussian Evidence Fusion for Training-Free Test-Time Adaptation of Vision-Language Models

Pedram MohajerAnsari, Amir Salarpour, Run Wang, Mert D. Pesé

British Machine Vision Conference (BMVC), 2026.

Vision-language modelsTest-time adaptation

Paper PDF

IROS2026Conference paperAccepted

Distilling Vision-Language Models for Robust Traffic Sign Perception in Autonomous Vehicles

Pedram MohajerAnsari, Amir Salarpour, Mert D. Pesé

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026.

Vision-language modelsAutonomous drivingAdversarial robustness

Paper PDF

ICIP2026Conference paperAccepted

Budget-Aware Adaptive Adversarial Patches for Black-Box Object Detection

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

IEEE International Conference on Image Processing (ICIP), 2026.

Adversarial robustness

Paper PDF

DSN2026Conference paper

From MIRAGE to CLEAR: Component-Level Explainable Anomaly Reasoning for Autonomous Vehicle Perception Systems

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

IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2026.

Autonomous drivingAdversarial robustnessExplainability

Paper DOI

CVPRW2026Workshop paper

Interpretable Adversarial Prompt Tuning via Semantic Concepts

Pedram MohajerAnsari, Zongxi Liu, Yi Zhu, Amir Salarpour, Mert D. Pesé

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 6th AdvML Workshop, 2026.

Adversarial robustnessExplainability

Paper

CVPRW2026Workshop paper

SASA: Sequence-Aware Shadow Attacks via Attention Alignment for Traffic Sign Recognition

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

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 6th AdvML Workshop, 2026.

Autonomous drivingAdversarial robustness

Paper

CVPRW2026Workshop paper

Auditing Traffic-Sign Robustness via DDIM Inversion: Do Diffusion Latents Preserve Shadow Attacks?

Ashton B. McEntarffer, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 6th AdvML Workshop, 2026.

Autonomous drivingAdversarial robustness

Paper

ICRA2026Conference paper

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

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

IEEE International Conference on Robotics and Automation (ICRA), 2026.

3D vision

Paper PDF Code Project

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

IV2026Conference paper

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

IEEE Intelligent Vehicles Symposium (IV), 2026.

Autonomous driving3D vision

Paper PDF Code Project

IV2026Conference paper

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

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

IEEE Intelligent Vehicles Symposium (IV), 2026.

Vision-language modelsAutonomous drivingAdversarial robustness

Paper PDF Code

IV2026Conference paper

Toward Inherently Robust VLMs Against Visual Perception Attacks

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

IEEE Intelligent Vehicles Symposium (IV), 2026.

Vision-language modelsAutonomous drivingAdversarial robustness

Paper PDF

Book2026Book chapterAccepted

Trustworthy AI for CPS Security

Amir Salarpour, Alkim Domeke, Pedram MohajerAnsari, David Fernandez, Cigdem Kokenoz, Mert D. Pesé

Book chapter (Springer), Accepted; to appear, 2026.

Adversarial robustness

2025

IPRIA2025Conference paper

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

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari

2025 International Conference on Pattern Recognition and Image Analysis IPRIA

3D vision

Paper PDF Code Project

VehicleSec2025Workshop paper

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

3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec 25), 2025.

Autonomous drivingAdversarial robustness

Paper PDF Code

CVPRW2025Workshop paper

Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences

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

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), AdvML Workshop, 2025.

Autonomous drivingAdversarial robustness

Paper PDF

SAE2025Conference paper

Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios

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

SAE Technical Paper 2025-01-8213, 2025.

Best Paper Award

Vision-language modelsAutonomous driving

Paper

CSICC2025Conference paper

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

Marzieh Mohammadi, Amir Salarpour, Pedram MohajerAnsari

29th International Computer Conference, Computer Society of Iran (CSICC), 2025.

3D vision

WACV2025Conference paper

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

Marzieh Mohammadi, Amir Salarpour

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 3487–3496.

3D vision

Paper PDF Code BibTeX

2021

IJEPES2021Journal article

Comprehensive Strategy for Classification of Voltage Sags Source Location Using Optimal Feature Selection Applied to Support Vector Machine and Ensemble Techniques

Younes Mohammadi, Amir Salarpour, Roberto Chouhy Leborgne

International Journal of Electrical Power & Energy Systems, 2021.

Signal processing

2020

DSP2020Journal article

Point-PlaneNet: Plane Kernel Based Convolutional Neural Network for Point Clouds Analysis

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

Digital Signal Processing, 2020.

3D visionSignal processing

2019

TJEE2019Journal article

Line-Segment Based Trajectory Similarity Measure Using Time Warping Technique

Amir Salarpour, Hassan Khotanlou, et al.

Tabriz Journal of Electrical Engineering, 2019.

Time-series analysis

IET SP2019Journal article

Direction-Based Similarity Measure to Trajectory Clustering

Amir Salarpour, Hassan Khotanlou

IET Signal Processing, 2019.

Time-series analysisSignal processing

2018

ICCKE2018Conference paper

Kernel Correlation Based CNN for Point Cloud Classification Task

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

8th International Conference on Computer and Knowledge Engineering (ICCKE), 2018.

3D vision

IJE2018Journal article

An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering

Amir Salarpour, Hassan Khotanlou

International Journal of Engineering, 2018.

Time-series analysis

2017

IPRIA2017Conference paper

A Multiresolution Approach to Trajectory Description

Amir Salarpour, Hassan Khotanlou, Mohammad Amin Mahboubi, Saleh Daghigh

3rd International Conference on Pattern Recognition and Image Analysis (IPRIA), 2017.

Time-series analysis

2016

IJADMT2016Journal article

Optimizing Parameters Contributing to Riveting Quality Using Imperialist Competitive Algorithm and Predicting Objective Function via Three Models MLR, RBF, and ANN-GA

Abbas Fadaei, Allahyar Gorbanpour, Amir Salarpour

International Journal of Advanced Design & Manufacturing Technology, 2016.

Machine learning

2015

Applied AI2015Journal article

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

Applied Artificial Intelligence, 2015.

Signal processing

JAPAN2015Journal article

Modelling Broilers’ Abdominal Fat in Response to Dietary Treatments

Amir Salarpour, Enayat Rahmatnejad, Hassan Khotanlou

Journal of Animal Physiology and Animal Nutrition, 2015.

Machine learning

2014

JRHS2014Journal article

Development of a Noise Prediction Model Based on Advanced Fuzzy Approaches in Typical Industrial Workrooms

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

Journal of Research in Health Sciences, 2014.

Signal processing

EPS2014Journal article

Using Soft Computing to Predict Broilers' Performance in Response to Herbal Additives

Ali Asghar Saki, Amir Salarpour, Enayat Rahmatnejad

European Poultry Science, 2014.

Machine learning

iCREATE2014Conference paper

Long-Term Estimation of Human Spatial Interactions Through Multiple Laser Ranging Sensors

Amir Salarpour, Hassan Khotanlou, Nikolaos Mavridis

International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), 2014.

Machine learning

2013

Online2013Online article

Sentiment Analysis and Visualization of Social Media Data: The #BostonMarathon #Bombings Test Case

Amir Salarpour, Mohammad Hossein Bamneshin, Dimitris Proios

Online article, 2013.

Machine learning

2011

SIPIJ2011Journal article

Vehicle Tracking Using Kalman Filter and Features

Amir Salarpour, Arezoo Salarpour, Mahmoud Fathi, Mir Hossein Dezfoulian

Signal & Image Processing: An International Journal, 2011.

Autonomous drivingSignal processing

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