Saad Abbasi

According to our database, Saad Abbasi authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

TurboViT: Generating Fast Vision Transformers via Generative Architecture Search.

Alexander Wong, Saad Abbasi, Saeejith Nair

CoRR, 2023

PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge.

Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong

CoRR, 2023

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge.

Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation.

Pengyuan Shi, Yuetong Wang, Saad Abbasi, Alexander Wong

CoRR, 2022

Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers.

Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri

CoRR, 2022

MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge.

Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

CoRR, 2022

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices.

Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

MAPLE: Microprocessor A Priori for Latency Estimation.

Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection.

Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong

Sensors, 2021

Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration.

Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong

CoRR, 2021

COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images.

Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong

CoRR, 2021

COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging.

Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow.

Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong

Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

2020

Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing.

Saad Abbasi, Kevan Bell, Parsin Haji Reza

Sensors, 2020