525 citations · 888 across the 27 of their papers we have counts for
5 papers · 1 filter
Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources
George Bisbas, Fabio Luporini, Mathias Louboutin +3
Stencil kernels dominate a range of scientific applications, including seismic and medical imaging, image processing, and neural networks. Temporal blocking is a performance optimi…
Lossy Checkpoint Compression in Full Waveform Inversion: a case study with ZFPv0.5.5 and the Overthrust Model
Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin +3
This paper proposes a new method that combines check-pointing methods with error-controlled lossy compression for large-scale high-performance Full-Waveform Inversion (FWI), an inv…
AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors
Matthew Z. Wong, Benoit Guillard, Riku Murai +2
We present a high-speed, energy-efficient Convolutional Neural Network (CNN) architecture utilising the capabilities of a unique class of devices known as analog Focal Plane Sensor…
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane
Riku Murai, Sajad Saeedi, Paul H. J. Kelly
Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where…
Scalable Uncertainty for Computer Vision with Functional Variational Inference
Eduardo D C Carvalho, Ronald Clark, Andrea Nicastro +1
As Deep Learning continues to yield successful applications in Computer Vision, the ability to quantify all forms of uncertainty is a paramount requirement for its safe and reliabl…