Christos-Savvas Bouganis

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 107

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao
HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. CoRR (2024)
Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. CoRR (2024)
Zhewen Yu, Christos-Savvas Bouganis
Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. DATE (2024)
Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. CoRR (2024)
Omar Sharif, Christos-Savvas Bouganis
A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. DATE (2024)
Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras
Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation. WACV (Workshops) (2024)
Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR (2024)
Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer 56 (3) (2023)
Jianyi Cheng, Cheng Zhang, Zhewen Yu, Alexander Montgomerie-Corcoran, Can Xiao, Christos-Savvas Bouganis, Yiren Zhao
Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration. CoRR (2023)
Guoxuan Xia, Christos-Savvas Bouganis
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. CoRR (2023)
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition. CoRR (2023)
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs. CoRR (2023)
Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. CoRR (2023)
Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. CoRR (2023)
Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. CoRR (2023)
Zhewen Yu, Christos-Savvas Bouganis
AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators. CoRR (2023)
Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. ICFPT (2023)
Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. FCCM (2023)
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs. FPL (2023)
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition. ASAP (2023)
Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis
PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. CoRR (2023)
Zhewen Yu, Christos-Savvas Bouganis
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. CoRR (2023)
Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis
PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. FPL (2023)
Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. FCCM (2023)
Guoxuan Xia, Christos-Savvas Bouganis
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. ICCV (2023)
Zhewen Yu, Christos-Savvas Bouganis
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. WACV (2023)
Zhewen Yu, Christos-Savvas Bouganis
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. FPL (2023)
Guoxuan Xia, Christos-Savvas Bouganis
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. CoRR (2022)
Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides
MIDAS: Mutual Information Driven Approximate Synthesis. ISVLSI (2022)
Nur Ahmadi, Trio Adiono, Ayu Purwarianti, Timothy G. Constandinou, Christos-Savvas Bouganis
Improved Spike-Based Brain-Machine Interface Using Bayesian Adaptive Kernel Smoother and Deep Learning. IEEE Access 10 (2022)
Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
Multi-DNN Accelerators for Next-Generation AI Systems. CoRR (2022)
Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras
Pushing the Efficiency of StereoNet: Exploiting Spatial Sparsity. VISIGRAPP (5: VISAPP) (2022)
Guoxuan Xia, Christos-Savvas Bouganis
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. ACCV (6) (2022)
Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. FPL (2022)
Aditya Rajagopal, Christos-Savvas Bouganis
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. CoRR (2022)
Zhewen Yu, Christos-Savvas Bouganis
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. CoRR (2022)
Guoxuan Xia, Christos-Savvas Bouganis
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection. CoRR (2022)
Panagiotis Miliadis, Christos-Savvas Bouganis, Dionisios N. Pnevmatikatos
Performance landscape of resource-constrained platforms targeting DNNs. CoRR (2021)
Leandro de Souza Rosa, Christos-Savvas Bouganis, Vanderlei Bonato
Non-iterative SDC modulo scheduling for high-level synthesis. Microprocess. Microsystems 86 (2021)
Aditya Rajagopal, Christos-Savvas Bouganis
perf4sight: A toolflow to model CNN training performance on Edge GPUs. ICCVW (2021)
Zhewen Yu, Christos-Savvas Bouganis
StreamSVD: Low-rank Approximation and Streaming Accelerator Co-design. FPT (2021)
Vanderlei Bonato, Christos-Savvas Bouganis
Class-specific early exit design methodology for convolutional neural networks. Appl. Soft Comput. 107 (2021)
Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis
DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators. ASP-DAC (2021)
Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides
Learning Boolean Circuits from Examples for Approximate Logic Synthesis. ASP-DAC (2021)
Aditya Rajagopal, Christos-Savvas Bouganis
perf4sight: A toolflow to model CNN training performance on Edge GPUs. CoRR (2021)
Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis
POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators. DSD (2021)
Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. CoRR (2021)
Jon Olaizola, Christos-Savvas Bouganis, Eneko Sáenz de Argandoña, Aitzol Iturrospe, José Manuel Abete
Real-Time Servo Press Force Estimation Based on Dual Particle Filter. IEEE Trans. Ind. Electron. 67 (5) (2020)
Aditya Rajagopal, Christos-Savvas Bouganis
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CVPR Workshops (2020)
Stefano Ribes, Pedro Trancoso, Ioannis Sourdis, Christos-Savvas Bouganis
Mapping Multiple LSTM models on FPGAs. FPT (2020)
Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. FPL (2020)
Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs. CoRR (2020)
Zhewen Yu, Christos-Savvas Bouganis
A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny. ARC (2020)
Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. CoRR (2020)
Aditya Rajagopal, Christos-Savvas Bouganis
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CoRR (2020)
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)
Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. ICML (2020)
Leandro de Souza Rosa, Christos-Savvas Bouganis, Vanderlei Bonato
Scaling Up Modulo Scheduling for High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (5) (2019)
Konstantinos Boikos, Christos-Savvas Bouganis
A Scalable FPGA-Based Architecture for Depth Estimation in SLAM. ARC (2019)
Manolis Vasileiadis, Christos-Savvas Bouganis, Georgios Stavropoulos, Dimitrios Tzovaras
Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices. BMVC (2019)
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)
Ioannis Kostavelis, Manolis Vasileiadis, Evangelos Skartados, Andreas Kargakos, Dimitrios Giakoumis, Christos-Savvas Bouganis, Dimitrios Tzovaras
Understanding of Human Behavior with a Robotic Agent Through Daily Activity Analysis. Int. J. Soc. Robotics 11 (3) (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)
Alexander Montgomerie-Corcoran, Stylianos I. Venieris, Christos-Savvas Bouganis
Power-Aware FPGA Mapping of Convolutional Neural Networks. FPT (2019)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. ISVLSI (2019)
Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
Decoding Hand Kinematics from Local Field Potentials Using Long Short-Term Memory (LSTM) Network. NER (2019)
Nur Ahmadi, Matthew L. Cavuto, Peilong Feng, Lieuwe B. Leene, Michal Maslik, Federico Mazza, Oscar Savolainen, Katarzyna M. Szostak, Christos-Savvas Bouganis, Jinendra Ekanayake, Andrew Jackson, Timothy G. Constandinou
Towards a Distributed, Chronically-Implantable Neural Interface. NER (2019)
Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
End-to-End Hand Kinematic Decoding from LFPs Using Temporal Convolutional Network. BioCAS (2019)
Manolis Vasileiadis, Christos-Savvas Bouganis, Dimitrios Tzovaras
Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks. Comput. Vis. Image Underst. 185 (2019)
Konstantinos Boikos, Christos-Savvas Bouganis
A Scalable FPGA-based Architecture for Depth Estimation in SLAM. CoRR (2019)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Ameer M. S. Abdelhadi, Christos-Savvas Bouganis, George A. Constantinides
Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization. FPT (2019)
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Approximate FPGA-Based LSTMs Under Computation Time Constraints. ARC (2018)
Christos Kyrkou, Theocharis Theocharides, Christos-Savvas Bouganis, Marios M. Polycarpou
Boosting the Hardware-Efficiency of Cascade Support Vector Machines for Embedded Classification Applications. Int. J. Parallel Program. 46 (6) (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
CascadeCNN: Pushing the performance limits of quantisation. CoRR (2018)
Leandro de Souza Rosa, Vanderlei Bonato, Christos-Savvas Bouganis
Scaling Up Loop Pipelining for High-Level Synthesis: A Non-iterative Approach. FPT (2018)
Stylianos I. Venieris, Christos-Savvas Bouganis
f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. FPL (2018)
Alexandros Kouris, Christos-Savvas Bouganis
Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. IROS (2018)
Christos Kyrkou, George Plastiras, Theocharis Theocharides, Stylianos I. Venieris, Christos-Savvas Bouganis
DroNet: Efficient convolutional neural network detector for real-time UAV applications. DATE (2018)
Stylianos I. Venieris, Christos-Savvas Bouganis
: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. CoRR (2018)
Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
Spike Rate Estimation Using Bayesian Adaptive Kernel Smoother (BAKS) and Its Application to Brain Machine Interfaces. EMBC (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)
Christos Kyrkou, George Plastiras, Stylianos I. Venieris, Theocharis Theocharides, Christos-Savvas Bouganis
DroNet: Efficient convolutional neural network detector for real-time UAV applications. CoRR (2018)
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
Approximate FPGA-based LSTMs under Computation Time Constraints. CoRR (2018)
Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman
An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE (2018)
Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. CoRR (2018)
Shuanglong Liu, Christos-Savvas Bouganis
Communication-Aware MCMC Method for Big Data Applications on FPGAs. FCCM (2017)
Grigorios Mingas, Leonardo Bottolo, Christos-Savvas Bouganis
Particle MCMC algorithms and architectures for accelerating inference in state-space models. Int. J. Approx. Reason. 83 (2017)
Manolis Vasileiadis, Sotiris Malassiotis, Dimitrios Giakoumis, Christos-Savvas Bouganis, Dimitrios Tzovaras
Robust Human Pose Tracking For Realistic Service Robot Applications. ICCV Workshops (2017)
Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis
An Unbiased MCMC FPGA-Based Accelerator in the Land of Custom Precision Arithmetic. IEEE Trans. Computers 66 (5) (2017)
Stylianos I. Venieris, Christos-Savvas Bouganis
Latency-driven design for FPGA-based convolutional neural networks. FPL (2017)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). FPGA (2017)
Konstantinos Boikos, Christos-Savvas Bouganis
A high-performance system-on-chip architecture for direct tracking for SLAM. FPL (2017)
Stylianos I. Venieris, Christos-Savvas Bouganis
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs. CoRR (2017)
Christos-Savvas Bouganis, Marek Gorgon, Vanderlei Bonato
Special issue on applied reconfigurable computing. Microprocess. Microsystems 52 (2017)
Mudhar Bin Rabieah, Christos-Savvas Bouganis
FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine. BigMine (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christos-Savvas Bouganis