Stylianos I. Venieris

Author Info

Name	Affiliation	Papers
STYLIANOS I. VENIERIS	Department of Electrical and Electronic Engineering, Imperial College London, London, UK	29
Collaborators	Citations	PageRank
38	106	12.98
Referers	Referees	References
366	908	298

Search Limit

100908

Publications (29 rows)

Collaborators (38 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design	0	0.34	2022
Adaptable mobile vision systems through multi-exit neural networks	0	0.34	2022
Multi-Exit Semantic Segmentation Networks.	0	0.34	2022
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation	2	0.40	2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout.	0	0.34	2021
HAPI: Hardware-Aware Progressive Inference	1	0.37	2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud	7	0.46	2020
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop	1	0.34	2020
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices	0	0.34	2020
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs	0	0.34	2020
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions	0	0.34	2020
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.	0	0.34	2019
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars.	0	0.34	2019
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices.	8	0.61	2019
Power-Aware FPGA Mapping of Convolutional Neural Networks	0	0.34	2019
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems	0	0.34	2019
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs.	13	0.62	2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors	8	0.48	2019
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions.	21	1.13	2018
Dronet: Efficient Convolutional Neural Network Detector For Real-Time Uav Applications	1	0.44	2018
Deploying Deep Neural Networks in the Embedded Space.	0	0.34	2018
Approximate FPGA-based LSTMs under Computation Time Constraints.	7	0.47	2018
f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs	0	0.34	2018
CascadeCNN: Pushing the performance limits of quantisation.	0	0.34	2018
Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks	0	0.34	2018
fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only).	2	0.39	2017
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs.	1	0.35	2017
fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs	34	1.48	2016
Towards heterogeneous solvers for large-scale linear systems	0	0.34	2015