Md. Abdullah-Al Kaiser — accepted AI-conference papers

2024

Hardware-Algorithm Co-Design Enabling Processing-In-Pixel-In-Memory (P2M) for Neuromorphic Vision Sensors

Md. Abdullah-Al Kaiser, Akhilesh R. Jaiswal

ICASSP 2024accepted

The high volume of data transmission between the edge sensor and the cloud processor leads to energy and throughput bottlenecks for resource-constrained edge devices focused on computer vision. Hence, researchers are investigating different approaches (e.g., near-sensor processing, in-sensor process…

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2023

In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision

Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin +3

ICASSP 2023accepted

Due to the high activation sparsity and use of accumulates (AC) instead of expensive multiply-and-accumulates (MAC), neuromorphic spiking neural networks (SNNs) have emerged as a promising low-power alternative to traditional DNNs for several computer vision (CV) applications. However, most existing…

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