Alexandros Kouris
Alexandros Kouris
Samsung AI Center, Cambridge; Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Toolflows for mapping convolutional neural networks on FPGAs: A survey and future directions
SI Venieris, A Kouris, CS Bouganis
ACM Computing Surveys (CSUR), 2018
1222018
Learning to Fly by MySelf: A Self-Supervised CNN-based Approach for Autonomous Navigation
A Kouris, CS Bouganis
Intelligent Robots and Systems (IROS 2018), 2018 IEEE/RSJ International …, 2018
372018
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks
A Kouris, SI Venieris, CS Bouganis
Field Programmable Logic and Applications (FPL), 2018 IEEE 28th …, 2018
252018
Cascade CNN: Pushing the performance limits of quantisation
A Kouris, SI Venieris, CS Bouganis
Conference on Systems and Machine Learning (SysML), 2018, 2018
25*2018
Approximate FPGA-based LSTMs under computation time constraints
M Rizakis, SI Venieris, A Kouris, CS Bouganis
Applied Reconfigurable Computing (ARC), 2018 International Symposium on, 2018
242018
A frequency domain approach for contact type distinction in human–robot collaboration
A Kouris, F Dimeas, N Aspragathos
IEEE Robotics and Automation Letters (RA-L) 3 (2), 720-727, 2018
202018
Contact distinction in human-robot cooperation with admittance control
A Kouris, F Dimeas, N Aspragathos
Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on …, 2016
132016
A direct tridiagonal solver based on Givens rotations for GPU architectures
IE Venetis, A Kouris, A Sobczyk, E Gallopoulos, AH Sameh
Parallel Computing 49, 101-116, 2015
132015
Deploying deep neural networks in the embedded space
SI Venieris, A Kouris, CS Bouganis
arXiv preprint arXiv:1806.08616, 2018
112018
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars
A Kouris, SI Venieris, M Rizakis, CS Bouganis
IEEE Consumer Electronics Magazine 9 (4), 2019
92019
Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset
A Kouris, C Kyrkou, CS Bouganis
Intelligent Robots and Systems (IROS 2019), 2019 IEEE/RSJ International …, 2019
82019
A throughput-latency co-optimised cascade of convolutional neural network classifiers
A Kouris, S Venieris, CS Bouganis
Design, Automation and Test in Europe Conference (DATE 2020), 2020
72020
A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi
IE Venetis, A Sobczyk, A Kouris, A Nakos, N Nikoloutsakos, E Gallopoulos
Parallel Computing: On the Road to Exascale 27, 371, 2016
62016
Toolflows for mapping convolutional neural networks on FPGAs: A survey and future directions
SI Venieris, A Kouris, CS Bouganis
arXiv preprint arXiv:1803.05900, 0
5
Control of a line following robot based on FSM estimation
A Toumpa, A Kouris, F Dimeas, N Aspragathos
12th IFAC Symposium on Robot Control (SYROCO) 51 (22), 542-547, 2018
32018
Multi-Exit Semantic Segmentation Networks
A Kouris, SI Venieris, S Laskaridis, ND Lane
arXiv preprint arXiv:2106.03527, 2021
22021
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems
A Kouris, SI Venieris, CS Bouganis
IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2019
22019
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
S Laskaridis, A Kouris, ND Lane
arXiv preprint arXiv:2106.05022, 2021
12021
Revisiting the Spike-based framework for GPU banded solvers: A Givens rotation approach for tridiagonal systems in CUDA
A Kouris, A Sobczyk, I Venetis, E Gallopoulos, A Sameh
8th International Workshop on Parallel Matrix Algorithms and Applications (PMAA), 2014
12014
Exploring Vectorization Possibilities on the Intel Xeon Phi for Solving Tridiagonal Systems
IE Venetis, A Nakos, A Kouris, E Gallopoulos
9th International Workshop on Parallel Matrix Algorithms and Applications (PMAA), 2016
2016
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Articles 1–20