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2020 – today
- 2024
[c37]Besma Guesmi, Jinen Daghrir, David Moloney, Carlos Urbina Ortega, Gianluca Furano, Giuseppe Mandorlo, Elena Hervas-Martin, José Luis Espinosa-Aranda:
EoFNets: EyeonFlare Networks to predict solar flare using Temporal Convolutional Network (TCN). CoDIT 2024: 1120-1126- [c36]Besma Guesmi, David Moloney:
Hardware-aware, deep-learning approaches for image denoising and star detection for star tracker sensor. CoDIT 2024: 1127-1134 - 2021
- [j13]Tejas Pandey, Dexmont Peña, Jonathan Byrne
, David Moloney:
Leveraging Deep Learning for Visual Odometry Using Optical Flow. Sensors 21(4): 1313 (2021) - [j12]Vasileios Leon, George Lentaris, Evangelos Petrongonas, Dimitrios Soudris, Gianluca Furano, Antonis Tavoularis, David Moloney:
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC. ACM Trans. Embed. Comput. Syst. 20(3): 22:1-22:23 (2021) - 2020
- [j11]Xiaofan Xu, Sam Caulfield, Joao Amaro, Gabriel Falcão, David Moloney:
1.2 Watt Classification of 3D Voxel Based Point-clouds using a CNN on a Neural Compute Stick. Neurocomputing 393: 165-174 (2020) - [j10]David Rijlaarsdam, Hamza Yous, Jonathan Byrne, Davide Oddenino, Gianluca Furano, David Moloney:
A Survey of Lost-in-Space Star Identification Algorithms Since 2009. Sensors 20(9): 2579 (2020) - [j9]David Rijlaarsdam, Hamza Yous, Jonathan Byrne, Davide Oddenino, Gianluca Furano, David Moloney:
Efficient Star Identification Using a Neural Network. Sensors 20(13): 3684 (2020) - [j8]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 58(2): 971-981 (2020) - [c35]Monodeep Kar, Amit Agarwal, Steven Hsu, David Moloney, Gregory K. Chen, Raghavan Kumar, Huseyin Sumbul, Phil C. Knag, Mark A. Anders, Himanshu Kaul, Jonathan Byrne, Luca Sarti, Ram Krishnamurthy, Vivek De:
A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications. VLSI Circuits 2020: 1-2 - [i3]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. CoRR abs/2006.05560 (2020)
2010 – 2019
- 2019
- [c34]Tomaso Cetto, Jonathan Byrne, Xiaofan Xu, David Moloney:
Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach. INNSBDDL 2019: 17-26 - 2018
- [j7]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:
Smart Doll: Emotion Recognition Using Embedded Deep Learning. Symmetry 10(9): 387 (2018) - [c33]Athanasios Xygkis, Lazaros Papadopoulos, David Moloney, Dimitrios Soudris, Sofiane Yous:
Efficient winograd-based convolution kernel implementation on edge devices. DAC 2018: 136:1-136:6 - [c32]Kevin Lee, Anton Shmatov, Jonathan Byrne, David Moloney:
Digital Scene Augmentation Techniques for Generating Photo-Realistic Virtual Crowds. GEM 2018: 299-305 - [c31]Léonie Buckley, Jonathan Byrne, David Moloney:
Investigating the Impact of Suboptimal Hashing Functions. GEM 2018: 324-331 - [c30]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Automatic Tree Annotation in LiDAR Data. GISTAM 2018: 36-41 - [c29]Jonathan Byrne, Léonie Buckley, Sam Caulfield, David Moloney:
VOLA: A Compact Volumetric Format for 3D Mapping and Embedded Systems. GISTAM 2018: 129-137 - [c28]Léonie Buckley, Jonathan Byrne, David Moloney:
Investigating the Use of Primes in Hashing for Volumetric Data. GISTAM 2018: 304-312 - [c27]Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis:
Exploring the Vision Processing Unit as Co-Processor for Inference. IPDPS Workshops 2018: 589-598 - [i2]Jelena Milosevic, Dexmont Peña, Andrew Forembsky, David Moloney, Miroslaw Malek:
It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems. CoRR abs/1807.00046 (2018) - [i1]Sergio Rivas-Gomez, Antonio J. Peña, David Moloney, Erwin Laure, Stefano Markidis:
Exploring the Vision Processing Unit as Co-processor for Inference. CoRR abs/1810.04150 (2018) - 2017
- [j6]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, Martin Waeny, Matteo Sorci, Tim Llewellynn, Christian Fedorczak, Thierry Larmoire, Marco Herbst, Andre Seirafi, Kasra Seirafi:
Eyes of Things. Sensors 17(5): 1173 (2017) - [c26]Xiaofan Xu, Joao Amaro, Sam Caulfield, Andrew Forembski, Gabriel Falcão, David Moloney:
Convolutional neural network on neural compute stick for voxelized point-clouds classification. CISP-BMEI 2017: 1-7 - [c25]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, Dexmont Peña, Martin Waeny, Pedro Santos, Matteo Sorci, Tim Llewellynn, Christian Fedorczak, Thierry Larmoire, Elodie Roche, Marco Herbst, Andre Seirafi, Kasra Seirafi:
Eyes of Things. IC2E 2017: 292-297 - [c24]Alessandro Palla, David Moloney, Luca Fanucci:
Scene Reconstruction from a Single Depth Image Using 3D CNN. ICCBB 2017: 85-88 - [c23]Xiaofan Xu, Joao Amaro, Sam Caulfield, Gabriel Falcão, David Moloney:
Classify 3D voxel based point-cloud using convolutional neural network on a neural compute stick. ICNC-FSKD 2017: 37-43 - [c22]Jonathan Byrne, Sam Caulfield, Léonie Buckley, Xiaofan Xu, Dexmont Peña, Gary Baugh, David Moloney:
Applications of the VOLA format for 3D data knowledge discovery. ICNC-FSKD 2017: 1794-1801 - [c21]Kevin Lee, David Moloney:
Evaluation of synthetic data for deep learning stereo depth algorithms on embedded platforms. ICSAI 2017: 170-176 - [c20]Alessandro Palla, David Moloney, Luca Fanucci:
Fully convolutional denoising autoencoder for 3D scene reconstruction from a single depth image. ICSAI 2017: 566-575 - [c19]Alireza Dehghani, David Moloney, Xiaofan Xu:
Face detection speed improvement using bitmap-based Histogram of Oriented gradien. IWSSIP 2017: 1-5 - 2016
- [c18]Xiaofan Xu, David Corrigan, Alireza Dehghani, Sam Caulfield, David Moloney:
3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks. AMDO 2016: 147-156 - [c17]Léonie Buckley, Sam Caulfield, David Moloney:
MvEcho - acoustic response modelling for auralisation. Hot Chips Symposium 2016: 1 - [c16]Léonie Buckley, Sam Caulfield, David Moloney:
MvEcho. Hot Chips Symposium 2016: 1-6 - [c15]David Moloney:
HW acceleration for volumetric applications. Hot Chips Symposium 2016: 1-19 - [c14]David Moloney:
Embedded deep neural networks: "The cost of everything and the value of nothing". Hot Chips Symposium 2016: 1-20 - [c13]Luca Puglia, Mircea Ionica, Giancarlo Raiconi, David Moloney:
Passive dense stereo vision on the Myriad2 VPU. Hot Chips Symposium 2016: 1-5 - [c12]Alireza Dehghani, David Moloney, Ivan Griffin:
Object recognition speed improvement using BITMAP-HoG. ICIP 2016: 659-663 - [c11]Xiaofan Xu, Alireza Dehghani, David Corrigan, Sam Caulfield, David Moloney:
Convolutional Neural Network for 3D object recognition using volumetric representation. SPLINE 2016: 1-5 - 2015
- [j5]David Moloney, Oscar Déniz-Suárez:
A Vision for the Future [Soapbox]. IEEE Consumer Electron. Mag. 4(2): 40-45 (2015) - [j4]Brendan Barry, Cormac Brick, Fergal Connor, David Donohoe, David Moloney, Richard Richmond, Martin J. O'Riordan, Vasile Toma:
Always-on Vision Processing Unit for Mobile Applications. IEEE Micro 35(2): 56-66 (2015) - [c10]Erkan Diken, Martin J. O'Riordan, Roel Jordans, Lech Józwiak, Henk Corporaal, David Moloney:
Mixed-length SIMD code generation for VLIW architectures with multiple native vector-widths. ASAP 2015: 181-188 - 2014
- [c9]David Moloney, Brendan Barry, Richard Richmond, Fergal Connor, Cormac Brick, David Donohoe:
Myriad 2: Eye of the computational vision storm. Hot Chips Symposium 2014: 1-18 - [c8]Tomasz Szydzik, Marius Farcas, Valeriu Ohan, David Moloney:
Level-3 BLAS on myriad multi-core media-processor SoC. Hot Chips Symposium 2014: 1 - [c7]Tomasz Szydzik, David Moloney:
Precision refinement for media-processor SoCs: fp32 -> fp64 on myriad. Hot Chips Symposium 2014: 1 - [c6]Alireza Dehghani, Alistair Sutherland, David Moloney, Dexmont Peña:
An improved interest point matching algorithm for human body tracking. IPAS 2014: 1-6 - 2011
- [j3]Siegfried Benkner, Sabri Pllana, Jesper Larsson Träff, Philippas Tsigas, Uwe Dolinsky, Cédric Augonnet, Beverly Bachmayer, Christoph W. Kessler, David Moloney, Vitaly Osipov:
PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems. IEEE Micro 31(5): 28-41 (2011) - [c5]David Moloney:
1TOPS/W software programmable media processor. Hot Chips Symposium 2011: 1-24 - [c4]Siegfried Benkner, Sabri Pllana, Jesper Larsson Träff, Philippas Tsigas, Andrew Richards, Raymond Namyst, Beverly Bachmayer, Christoph W. Kessler, David Moloney, Peter Sanders:
The PEPPHER Approach to Programmability and Performance Portability for Heterogeneous many-core Architectures. PARCO 2011: 361-368
2000 – 2009
- 2007
- [c3]David Gregg, Colm McSweeney, Ciarán McElroy, Fergal Connor, Séamas McGettrick, David Moloney, Dermot Geraghty:
FPGA based Sparse Matrix Vector Multiplication using Commodity DRAM Memory. FPL 2007: 786-791 - 2005
- [c2]David Moloney, Dermot Geraghty, Colm McSweeney, Ciarán McElroy:
Streaming Sparse Matrix Compression/Decompression. HiPEAC 2005: 116-129 - 2000
- [c1]Jin Ding, David Moloney, Xiaojun Wang:
Aliasing-Free Space and Time Compactions with Limited Overhead. ISQED 2000: 355-360
1990 – 1999
- 1998
- [j2]David Moloney, Jerry O'Brien, Eugene O'Rourke, Francesco Brianti:
Low-power 200-Msps, area-efficient, five-tap programmable FIR filter [in BiCMOS]. IEEE J. Solid State Circuits 33(7): 1134-1138 (1998) - 1995
- [j1]Maurizio Zuffada, Roberto Alini, Paolo Colletti, Marco Demicheli, Marco Gregori, David Moloney, Salvatore Portaluri, Fabrizio Sacchi, Sadik O. Arf, Vincent Condito, Rinaldo Castello:
A single-chip 9-32 mb/s read/write channel for disk-drive applications. IEEE J. Solid State Circuits 30(6): 650-659 (1995)
Coauthor Index
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last updated on 2024-11-13 23:52 CET by the dblp team
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