Paper titled “AFFIX”, a framework for automatic FPGA acceleration of OpenVX graphs is accepted for presentation at FPGA 2019.
I am a PhD candidate at the school of Computer Science at University of California, Irvine suprvised by profs. Alex Nicolau and Alex Veidenbaum. My research interestes include: Programming languages and compilers, Web technologies, and computer vision acceleration.
I have been fortunate to receive a great deal of support and mentorship from Dr. Moh Haghighat, senior principal engineer at Intel Corporation.
Recent Posts
OpenCV.js paper accepted in ACM MultiMedia Systems conference
OpenCV.js paper was accepted to appear in 9th ACM Multimedia Systems conference.
Computer Vision for the Masses: our article is featured in Intel Parallel Universe Magazine
Our work on brining computer vision processing to the web platform is featured in 32nd issue of Intel Parallel Universe Magazine. You can access from here.
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Paper on acceleration of OpenVX graphs on FPGAs is accepted into FCCM 2018
Computer vision processing is computationally expensive and several acceleration solutions have been proposed. Among them, FPGAs offer a promising direction. A vision application is typically written in C/C++ and is difficult to compile into an efficient FPGA implementation. OpenVX is a set of basic, widely used vision kernels. Vision pipelines...
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OpenCV.js release
OpenCV.js brings years of OpenCV development in computer vision processing to the web with high efficiency. It provides a collection of carefully selected computer vision functions ranging from image processing, object detection, video analysis, features extraction, deep neural networks, etc. Thanks to JavaScript portability, for the first time, a large...
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