15 citations · 35 across the 27 of their papers we have counts for
5 papers · 1 filter
Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection
Diego A. Silva, Ahmed Elsheikh, Kamilya Smagulova +2
Event-based cameras are sensors that simulate the human eye, offering advantages such as high-speed robustness and low power consumption. Established Deep Learning techniques have…
SoftmAP: Software-Hardware Co-design for Integer-Only Softmax on Associative Processors
Mariam Rakka, Jinhao Li, Guohao Dai +3
Recent research efforts focus on reducing the computational and memory overheads of Large Language Models (LLMs) to make them feasible on resource-constrained devices. Despite adva…
BF-IMNA: A Bit Fluid In-Memory Neural Architecture for Neural Network Acceleration
Mariam Rakka, Rachid Karami, Ahmed M. Eltawil +2
Mixed-precision quantization works Neural Networks (NNs) are gaining traction for their efficient realization on the hardware leading to higher throughput and lower energy. In-Memo…
Towards Efficient IMC Accelerator Design Through Joint Hardware-Workload Co-optimization
Olga Krestinskaya, Mohammed E. Fouda, Ahmed Eltawil +1
Designing generalized in-memory computing (IMC) hardware that efficiently supports a variety of workloads requires extensive design space exploration, which is infeasible to perfor…
A Recurrent YOLOv8-based framework for Event-Based Object Detection
Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh +2
Object detection is crucial in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on data from conventional frame-based…