14 citations · 22 across the 15 of their papers we have counts for
7 papers · 1 filter
Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision
Chengwei Zhou, Abu Masum, Xuming Chen +7
In-sensor computing reduces the cost of transmitting high-resolution image data by performing early-stage processing near the sensor. However, the logic chip integrated with a CMOS…
NPLSD: Accelerating Line-Segment Detection on NPU Microcontrollers
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
Line-segment detection is fundamental to robotics, autonomous navigation, and industrial inspection. While transformer-based detectors achieve the highest accuracy, their deploymen…
A Low-Latency ASIC Architecture for Real-Time Line Segment Detection
Amir Hossein Jalilvand, Parsa Hassani Shariat Panahi, M. Hassan Najafi
Line segment detection is a critical preprocessing step in embedded vision applications such as autonomous navigation, visual SLAM, and industrial inspection. Deep learning methods…
Hardware-Enabled Fuzzy Inference: Architectures, Platforms, and Emerging Trends
Amir Hossein Jalilvand, Parsa Hassani Shariat Panahi, M. Hassan Najafi
Fuzzy logic systems are widely used for intelligent decision-making under uncertainty, offering interpretability and robustness across diverse applications. However, the growing de…
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
Line segment detection is a key building block in visual SLAM, 3D reconstruction, and industrial inspection. Recent deep learning methods have greatly improved accuracy, yet even t…
AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
Abu Masum, Mehran Moghadam, M. Hassan Najafi +4
Objective: Acute mountain sickness (AMS) is the most prevalent altitude illness, affecting unacclimatized individuals ascending above 2,500 m and potentially escalating to life thr…
TranSC: Hardware-Aware Design of Transcendental Functions Using Stochastic Logic
Mehran Moghadam, Sercan Aygun, M. Hassan Najafi
The hardware-friendly implementation of transcendental functions remains a longstanding challenge in design automation. These functions, which cannot be expressed as finite combina…