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20242026
most citedscaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation

2 citations · 2 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models

Abdul Basit, Ashir Rashid, Muhammad Abdullah Hanif +1

Multiple Sclerosis (MS) is a chronic autoimmune disease that can significantly reduce the quality of life of a patient. Existing treatment options can only help slow down the progr…

cs.CV2025

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems

Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni +1

Advanced Driver Assistance Systems (ADAS) significantly enhance road safety by detecting potential collisions and alerting drivers. However, their reliance on expensive sensor tech…

cs.CV2024

DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems

Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique

The proliferation of smartphones and other mobile devices provides a unique opportunity to make Advanced Driver Assistance Systems (ADAS) accessible to everyone in the form of an a…

cs.CV2024

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications

Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani +2

Monocular depth estimation (MDE) has advanced significantly, primarily through the integration of convolutional neural networks (CNNs) and more recently, Transformers. However, con…

cs.CV2024

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation

Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani +1

In recent times, monocular depth estimation (MDE) has experienced significant advancements in performance, largely attributed to the integration of innovative architectures, i.e.,…

cs.CV2024

Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather

Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique

In the realm of deploying Machine Learning-based Advanced Driver Assistance Systems (ML-ADAS) into real-world scenarios, adverse weather conditions pose a significant challenge. Co…