A single-chip 9-32 mb/s read/write channel for disk-drive applications. - Maurizio Zuffada; Roberto Alini; Paolo Colletti; Marco Demicheli; Marco Gregori; David Moloney; Salvatore Portaluri; Fabrizio Sacchi; Sadik O. Arf; Vincent Condito; Rinaldo Castello (IEEE J. Solid State Circuits, 1995)

Low-power 200-Msps, area-efficient, five-tap programmable FIR filter [in BiCMOS]. - David Moloney; Jerry O'Brien; Eugene O'Rourke; Francesco Brianti (IEEE J. Solid State Circuits, 1998)

Aliasing-Free Space and Time Compactions with Limited Overhead. - Jin Ding; David Moloney; Xiaojun Wang 001 (ISQED, 2000)

Streaming Sparse Matrix Compression/Decompression. - David Moloney; Dermot Geraghty; Colm McSweeney; Ciarán McElroy (HiPEAC, 2005)

FPGA based Sparse Matrix Vector Multiplication using Commodity DRAM Memory. - David Gregg; Colm McSweeney; Ciarán McElroy; Fergal Connor; Séamas McGettrick; David Moloney; Dermot Geraghty (FPL, 2007)

1TOPS/W software programmable media processor. - David Moloney (Hot Chips Symposium, 2011)

The PEPPHER Approach to Programmability and Performance Portability for Heterogeneous many-core Architectures. - Siegfried Benkner; Sabri Pllana; Jesper Larsson Träff; Philippas Tsigas; Andrew Richards; Raymond Namyst; Beverly Bachmayer; Christoph W. Kessler; David Moloney; Peter Sanders 001 (PARCO, 2011)

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems. - Siegfried Benkner; Sabri Pllana; Jesper Larsson Träff; Philippas Tsigas; Uwe Dolinsky; Cédric Augonnet; Beverly Bachmayer; Christoph W. Kessler; David Moloney; Vitaly Osipov (IEEE Micro, 2011)

Myriad 2: Eye of the computational vision storm. - David Moloney; Brendan Barry; Richard Richmond; Fergal Connor; Cormac Brick; David Donohoe (Hot Chips Symposium, 2014)

Level-3 BLAS on myriad multi-core media-processor SoC. - Tomasz Szydzik; Marius Farcas; Valeriu Ohan; David Moloney (Hot Chips Symposium, 2014)

Precision refinement for media-processor SoCs: fp32 -> fp64 on myriad. - Tomasz Szydzik; David Moloney (Hot Chips Symposium, 2014)

An improved interest point matching algorithm for human body tracking. - Alireza Dehghani; Alistair Sutherland; David Moloney; Dexmont Peña (IPAS, 2014)

Mixed-length SIMD code generation for VLIW architectures with multiple native vector-widths. - Erkan Diken; Martin J. O'Riordan; Roel Jordans; Lech Józwiak; Henk Corporaal; David Moloney (ASAP, 2015)

A Vision for the Future [Soapbox]. - David Moloney; Oscar Déniz-Suárez (IEEE Consumer Electron. Mag., 2015)

Always-on Vision Processing Unit for Mobile Applications. - Brendan Barry; Cormac Brick; Fergal Connor; David Donohoe; David Moloney; Richard Richmond; Martin J. O'Riordan; Vasile Toma (IEEE Micro, 2015)

3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks. - Xiaofan Xu; David Corrigan; Alireza Dehghani; Sam Caulfield; David Moloney (AMDO, 2016)

MvEcho - acoustic response modelling for auralisation. - Léonie Buckley; Sam Caulfield; David Moloney (Hot Chips Symposium, 2016)

MvEcho. - Léonie Buckley; Sam Caulfield; David Moloney (Hot Chips Symposium, 2016)

HW acceleration for volumetric applications. - David Moloney (Hot Chips Symposium, 2016)

Embedded deep neural networks: "The cost of everything and the value of nothing". - David Moloney (Hot Chips Symposium, 2016)

Passive dense stereo vision on the Myriad2 VPU. - Luca Puglia; Mircea Ionica; Giancarlo Raiconi; David Moloney (Hot Chips Symposium, 2016)

Object recognition speed improvement using BITMAP-HoG. - Alireza Dehghani; David Moloney; Ivan Griffin (ICIP, 2016)

Convolutional Neural Network for 3D object recognition using volumetric representation. - Xiaofan Xu; Alireza Dehghani; David Corrigan; Sam Caulfield; David Moloney (SPLINE, 2016)

Convolutional neural network on neural compute stick for voxelized point-clouds classification. - Xiaofan Xu; Joao Amaro; Sam Caulfield; Andrew Forembski; Gabriel Falcão 001; David Moloney (CISP-BMEI, 2017)

Eyes of Things. - Noelia Vállez; José Luis Espinosa-Aranda; Jose M. Rico-Saavedra; Javier Parra-Patino; Oscar Déniz; Alain Pagani; Stephan Krauß; Ruben Reiser; Didier Stricker; David Moloney; Alireza Dehghani; Aubrey K. Dunne; et al. (IC2E, 2017)

Scene Reconstruction from a Single Depth Image Using 3D CNN. - Alessandro Palla; David Moloney; Luca Fanucci (ICCBB, 2017)

Applications of the VOLA format for 3D data knowledge discovery. - Jonathan Byrne; Sam Caulfield; Léonie Buckley; Xiaofan Xu; Dexmont Peña; Gary Baugh; David Moloney (ICNC-FSKD, 2017)

Classify 3D voxel based point-cloud using convolutional neural network on a neural compute stick. - Xiaofan Xu; Joao Amaro; Sam Caulfield; Gabriel Falcão 001; David Moloney (ICNC-FSKD, 2017)

Evaluation of synthetic data for deep learning stereo depth algorithms on embedded platforms. - Kevin Lee; David Moloney (ICSAI, 2017)

Fully convolutional denoising autoencoder for 3D scene reconstruction from a single depth image. - Alessandro Palla; David Moloney; Luca Fanucci (ICSAI, 2017)

Face detection speed improvement using bitmap-based Histogram of Oriented gradien. - Alireza Dehghani; David Moloney; Xiaofan Xu (IWSSIP, 2017)

Eyes of Things. - Oscar Déniz-Suárez; Noelia Vállez; José Luis Espinosa-Aranda; Jose M. Rico-Saavedra; Javier Parra-Patino; Gloria Bueno García; David Moloney; Alireza Dehghani; Aubrey K. Dunne; Alain Pagani; Stephan Krauß; Ruben Reiser; et al. (Sensors, 2017)

Efficient winograd-based convolution kernel implementation on edge devices. - Athanasios Xygkis; Lazaros Papadopoulos; David Moloney; Dimitrios Soudris; Sofiane Yous (DAC, 2018)

Investigating the Impact of Suboptimal Hashing Functions. - Léonie Buckley; Jonathan Byrne; David Moloney (GEM, 2018)

Digital Scene Augmentation Techniques for Generating Photo-Realistic Virtual Crowds. - Kevin Lee; Anton Shmatov; Jonathan Byrne; David Moloney (GEM, 2018)

Investigating the Use of Primes in Hashing for Volumetric Data. - Léonie Buckley; Jonathan Byrne; David Moloney (GISTAM, 2018)

VOLA: A Compact Volumetric Format for 3D Mapping and Embedded Systems. - Jonathan Byrne; Léonie Buckley; Sam Caulfield; David Moloney (GISTAM, 2018)

Automatic Tree Annotation in LiDAR Data. - Ananya Gupta; Jonathan Byrne; David Moloney; Simon Watson 001; Hujun Yin (GISTAM, 2018)

Exploring the Vision Processing Unit as Co-Processor for Inference. - Sergio Rivas-Gomez; Antonio J. Peña; David Moloney; Erwin Laure; Stefano Markidis (IPDPS Workshops, 2018)

It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems. - Jelena Milosevic; Dexmont Peña; Andrew Forembsky; David Moloney; Miroslaw Malek (CoRR, 2018)

Smart Doll: Emotion Recognition Using Embedded Deep Learning. - José Luis Espinosa-Aranda; Noelia Vállez; Jose M. Rico-Saavedra; Javier Parra-Patino; Gloria Bueno García; Matteo Sorci; David Moloney; Dexmont Peña; Oscar Déniz-Suárez (Symmetry, 2018)

Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach. - Tomaso Cetto; Jonathan Byrne; Xiaofan Xu; David Moloney (INNSBDDL, 2019)

A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications. - Monodeep Kar; Amit Agarwal 001; Steven Hsu; David Moloney; Gregory K. Chen; Raghavan Kumar; Huseyin Sumbul; Phil C. Knag; Mark A. Anders 001; Himanshu Kaul; Jonathan Byrne; Luca Sarti; et al. (VLSI Circuits, 2020)

1.2 Watt Classification of 3D Voxel Based Point-clouds using a CNN on a Neural Compute Stick. - Xiaofan Xu; Sam Caulfield; Joao Amaro; Gabriel Falcão 001; David Moloney (Neurocomputing, 2020)

A Survey of Lost-in-Space Star Identification Algorithms Since 2009. - David D. W. Rijlaarsdam; Hamza Yous; Jonathan Byrne; Davide Oddenino; Gianluca Furano; David Moloney (Sensors, 2020)

Efficient Star Identification Using a Neural Network. - David D. W. Rijlaarsdam; Hamza Yous; Jonathan Byrne; Davide Oddenino; Gianluca Furano; David Moloney (Sensors, 2020)

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. - Ananya Gupta; Jonathan Byrne; David Moloney; Simon Watson 001; Hujun Yin (IEEE Trans. Geosci. Remote. Sens., 2020)

Leveraging Deep Learning for Visual Odometry Using Optical Flow. - Tejas Pandey; Dexmont Peña; Jonathan Byrne; David Moloney (Sensors, 2021)

Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC. - Vasileios Leon; George Lentaris; Evangelos Petrongonas; Dimitrios Soudris; Gianluca Furano; Antonis Tavoularis; David Moloney (ACM Trans. Embed. Comput. Syst., 2021)

EoFNets: EyeonFlare Networks to predict solar flare using Temporal Convolutional Network (TCN). - Besma Guesmi; Jinen Daghrir; David Moloney; Carlos Urbina Ortega; Gianluca Furano; Giuseppe Mandorlo; Elena Hervas-Martin; José Luis Espinosa-Aranda (CoDIT, 2024)

Hardware-aware, deep-learning approaches for image denoising and star detection for star tracker sensor. - Besma Guesmi; David Moloney (CoDIT, 2024)

Visual Anomaly Detection in Modern Industrial Manufacturing Systems: Survey, Challenges and Future Directions. - Imen Jegham; Besma Guesmi; David Moloney (ICSOC Workshops (1), 2024)