no code implementations • 22 Aug 2023 • Alexander Wong, Saad Abbasi, Saeejith Nair
In this study, we explore the generation of fast vision transformer architecture designs via generative architecture search (GAS) to achieve a strong balance between accuracy and architectural and computational efficiency.
no code implementations • 21 Apr 2023 • Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
As such, the design of highly efficient multi-task deep neural network architectures tailored for computer vision tasks for robotic grasping on the edge is highly desired for widespread adoption in manufacturing environments.
no code implementations • 23 Jan 2023 • Brian Li, Steven Palayew, Francis Li, Saad Abbasi, Saeejith Nair, Alexander Wong
There can be numerous electronic components on a given PCB, making the task of visual inspection to detect defects very time-consuming and prone to error, especially at scale.
no code implementations • 22 Nov 2022 • Pengyuan Shi, Yuetong Wang, Saad Abbasi, Alexander Wong
As the COVID-19 pandemic continues to put a significant burden on healthcare systems worldwide, there has been growing interest in finding inexpensive symptom pre-screening and recommendation methods to assist in efficiently using available medical resources such as PCR tests.
no code implementations • 15 Aug 2022 • Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
With the growing adoption of deep learning for on-device TinyML applications, there has been an ever-increasing demand for efficient neural network backbones optimized for the edge.
no code implementations • 25 May 2022 • Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
Deep neural network (DNN) latency characterization is a time-consuming process and adds significant cost to Neural Architecture Search (NAS) processes when searching for efficient convolutional neural networks for embedded vision applications.
no code implementations • 27 Apr 2022 • Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
Neural Architecture Search (NAS) has enabled automatic discovery of more efficient neural network architectures, especially for mobile and embedded vision applications.
no code implementations • 30 Nov 2021 • Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
Through this quantitative strategy as the hardware descriptor, MAPLE can generalize to new hardware via a few shot adaptation strategy where with as few as 3 samples it exhibits a 6% improvement over state-of-the-art methods requiring as much as 10 samples.
no code implementations • 14 Sep 2021 • Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow.
1 code implementation • 5 Aug 2021 • Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
The Coronavirus Disease 2019 (COVID-19) pandemic has impacted many aspects of life globally, and a critical factor in mitigating its effects is screening individuals for infections, thereby allowing for both proper treatment for those individuals as well as action to be taken to prevent further spread of the virus.
no code implementations • 8 Jul 2021 • Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong
In this study, a comprehensive empirical exploration is conducted to investigate the impact of deep neural network architecture design on the degree of inference speedup that can be achieved via hardware-specific acceleration.
no code implementations • 4 May 2021 • Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong
The health and socioeconomic difficulties caused by the COVID-19 pandemic continues to cause enormous tensions around the world.
no code implementations • 31 Mar 2021 • Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong
Human operators often diagnose industrial machinery via anomalous sounds.
no code implementations • 21 Sep 2020 • Benjamin R. Ecclestone, Kevan Bell, Saad Abbasi, Deepak Dinakaran, Frank K. H. van Landeghem, John R. Mackey, Paul Fieguth, Parsin Haji Reza
Images obtained using this technique show comparable quality and contrast to the current standard for histopathological assessment of brain tissues.