Alexandros Kouris

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 29

Top Topics

Convolutional Neural Networks

Future Directions

Autonomous Navigation

Semantic Segmentation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR (2023)
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR (2022)
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
The Future of Consumer Edge-AI Computing. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Adaptable mobile vision systems through multi-exit neural networks. MobiSys (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. ECCV (21) (2022)
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. CoRR (2021)
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. CoRR (2021)
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. EMDL@MobiSys (2021)
Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. IEEE Consumer Electron. Mag. 9 (4) (2020)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. DATE (2020)
Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. CoRR (2019)
Alexandros Kouris, Christos Kyrkou, Christos-Savvas Bouganis
Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset. IROS (2019)
Christos Kopanos, Vasilis Tsiolkas, Alexandros Kouris, Charles E. Chapple, Monica Albarca Aguilera, Richard Meyer, Andreas Massouras
VarSome: the human genomic variant search engine. Bioinform. 35 (11) (2019)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. ISVLSI (2019)
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Approximate FPGA-Based LSTMs Under Computation Time Constraints. ARC (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
CascadeCNN: Pushing the performance limits of quantisation. CoRR (2018)
Alexandros Kouris, Christos-Savvas Bouganis
Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. IROS (2018)
Alexandros Kouris, Fotios Dimeas, Nikos A. Aspragathos
A Frequency Domain Approach for Contact Type Distinction in Human-Robot Collaboration. IEEE Robotics Autom. Lett. 3 (2) (2018)
Alexia Toumpa, Alexandros Kouris, Fotios Dimeas, Nikos A. Aspragathos
Control of a line following robot based on FSM estimation. SyRoCo (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. FPL (2018)
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Deploying Deep Neural Networks in the Embedded Space. CoRR (2018)
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. CoRR (2018)
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. ACM Comput. Surv. 51 (3) (2018)
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Approximate FPGA-based LSTMs under Computation Time Constraints. CoRR (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. CoRR (2018)
Alexandros Kouris, Fotios Dimeas, Nikos A. Aspragathos
Contact distinction in human-robot cooperation with admittance control. SMC (2016)
Ioannis E. Venetis, Alexandros Kouris, Alexandros Sobczyk, Efstratios Gallopoulos, Ahmed H. Sameh
A direct tridiagonal solver based on Givens rotations for GPU architectures. Parallel Comput. 49 (2015)
Ioannis E. Venetis, Alexandros Sobczyk, Alexandros Kouris, Alexandros Nakos, Nikolaos Nikoloutsakos, Efstratios Gallopoulos
A general tridiagonal solver for coprocessors: Adapting g-Spike for the Intel Xeon Phi. PARCO (2015)