Class-based Multiple Light Detection: An Application to Faces. - Christos-Savvas Bouganis; Mike Brookes (BMVC, 2003)

A Steerable Complex Wavelet Construction and Its Implementation on FPGA. - Christos-Savvas Bouganis; Peter Y. K. Cheung; Jeffrey Ng; Anil A. Bharath (FPL, 2004)

Multiple Light Source Detection. - Christos-Savvas Bouganis; Mike Brookes (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Multiple light source detection with application to face recognition. - Christos-Savvas Bouganis (2004)

A Novel 2D Filter Design Methodology for Heterogeneous Devices. - Christos-Savvas Bouganis; George A. Constantinides; Peter Y. K. Cheung (FCCM, 2005)

Heterogeneity Exploration for Multiple 2D Filter Designs. - Christos-Savvas Bouganis; Peter Y. K. Cheung; George A. Constantinides (FPL, 2005)

FPGA-Accelerated Reconstruction of Gene Regulatory Networks. - Iosifina Pournara; Christos-Savvas Bouganis; George A. Constantinides (FPL, 2005)

A novel 2D filter design methodology. - Christos-Savvas Bouganis; George A. Constantinides; Peter Y. K. Cheung (ISCAS (1), 2005)

Hardware efficient architectures for Eigenvalue computation. - Yang Liu; Christos-Savvas Bouganis; Peter Y. K. Cheung; Philip Heng Wai Leong; Stephen J. Motley (DATE, 2006)

FPGA-Accelerated Pre-Attentive Segmentation in Primary Visual Cortex. - Christos-Savvas Bouganis; Peter Y. K. Cheung; Zhaoping Li 001 (FPL, 2006)

Efficient Realtime FPGA Implementation of the Trace Transform. - Suhaib A. Fahmy; Christos-Savvas Bouganis; Peter Y. K. Cheung; Wayne Luk (FPL, 2006)

An FPGA implementation of the simplex algorithm. - Samuel Bayliss; Christos-Savvas Bouganis; George A. Constantinides; Wayne Luk (FPT, 2006)

A statistical framework for dimensionality reduction implementation in FPGAs. - Christos-Savvas Bouganis; Iosifina Pournara; Peter Y. K. Cheung (FPT, 2006)

A Spatiotemporal Saliency Framework. - Yang Liu; Christos-Savvas Bouganis; Peter Y. K. Cheung (ICIP, 2006)

Efficient Mapping of Dimensionality Reduction Designs onto Heterogeneous FPGAs. - Christos-Savvas Bouganis; Iosifina Pournara; Peter Y. K. Cheung (FCCM, 2007)

Efficient mapping of a Kalman filter into an FPGA using Taylor Expansion. - Yang Liu; Christos-Savvas Bouganis; Peter Y. K. Cheung (FPL, 2007)

Real-time hardware acceleration of the trace transform. - Suhaib A. Fahmy; Christos-Savvas Bouganis; Peter Y. K. Cheung; Wayne Luk (J. Real Time Image Process., 2007)

FPGA-based Real-time Super-Resolution on an Adaptive Image Sensor. - Maria E. Angelopoulou; Christos-Savvas Bouganis; Peter Y. K. Cheung; George A. Constantinides (ARC, 2008)

Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA. - Chalermpol Saiprasert; Christos-Savvas Bouganis; George A. Constantinides (ARC, 2008)

Real-time image super resolution using an FPGA. - Oliver Bowen; Christos-Savvas Bouganis (FPL, 2008)

Efficient FPGA mapping of Gilbert's algorithm for SVM training on large-scale classification problems. - Markos Papadonikolakis; Christos-Savvas Bouganis (FPL, 2008)

A scalable FPGA architecture for non-linear SVM training. - Markos Papadonikolakis; Christos-Savvas Bouganis (FPT, 2008)

Video enhancement on an adaptive image sensor. - Maria E. Angelopoulou; Christos-Savvas Bouganis; Peter Y. K. Cheung (ICIP, 2008)

Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator. - Chalermpol Saiprasert; Christos-Savvas Bouganis; George A. Constantinides (ARC, 2009)

Implementation of a foveal vision mapping. - Donald G. Bailey; Christos-Savvas Bouganis (FPT, 2009)

Tracking performance of a foveated vision system. - Donald G. Bailey; Christos-Savvas Bouganis (ICARA, 2009)

A sensor-based approach to linear blur identification for real-time video enhancement. - Maria E. Angelopoulou; Christos-Savvas Bouganis; Peter Y. K. Cheung (ICIP, 2009)

Hardware architectures for eigenvalue computation of real symmetric matrices. - Yang Liu; Christos-Savvas Bouganis; Peter Y. K. Cheung (IET Comput. Digit. Tech., 2009)

Robust Real-Time Super-Resolution on FPGA and an Application to Video Enhancement. - Maria E. Angelopoulou; Christos-Savvas Bouganis; Peter Y. K. Cheung; George A. Constantinides (ACM Trans. Reconfigurable Technol. Syst., 2009)

Synthesis and Optimization of 2D Filter Designs for Heterogeneous FPGAs. - Christos-Savvas Bouganis; Sung-Boem Park; George A. Constantinides; Peter Y. K. Cheung (ACM Trans. Reconfigurable Technol. Syst., 2009)

Introduction to the Special Issue ARC'08. - Katherine Compton; Roger F. Woods; Christos-Savvas Bouganis; Pedro C. Diniz (ACM Trans. Reconfigurable Technol. Syst., 2009)

Design of a Financial Application Driven Multivariate Gaussian Random Number Generator for an FPGA. - Chalermpol Saiprasert; Christos-Savvas Bouganis; George A. Constantinides (ARC, 2010)

A Heterogeneous FPGA Architecture for Support Vector Machine Training. - Markos Papadonikolakis; Christos-Savvas Bouganis (FCCM, 2010)

GPU Versus FPGA for High Productivity Computing. - David Huw Jones; Adam Powell; Christos-Savvas Bouganis; Peter Y. K. Cheung (FPL, 2010)

Mapping Multiple Multivariate Gaussian Random Number Generators on an FPGA. - Chalermpol Saiprasert; Christos-Savvas Bouganis; George A. Constantinides (FPL, 2010)

A novel FPGA-based SVM classifier. - Markos Papadonikolakis; Christos-Savvas Bouganis (FPT, 2010)

A Salient Region Detector for GPU Using a Cellular Automata Architecture. - David Huw Jones; Adam Powell; Christos-Savvas Bouganis; Peter Y. K. Cheung (ICONIP (2), 2010)

An Optimized Hardware Architecture of a Multivariate Gaussian Random Number Generator. - Chalermpol Saiprasert; Christos-Savvas Bouganis; George A. Constantinides (ACM Trans. Reconfigurable Technol. Syst., 2010)

Exploration of Heterogeneous FPGAs for Mapping Linear Projection Designs. - Christos-Savvas Bouganis; Iosifina Pournara; Peter Y. K. Cheung (IEEE Trans. Very Large Scale Integr. Syst., 2010)

A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations. - Xiang Tian; Christos-Savvas Bouganis (FPL, 2011)

An FPGA-based object detector with dynamic workload balancing. - Chuan Cheng; Christos-Savvas Bouganis (FPT, 2011)

Feature selection with geometric constraints for vision-based Unmanned Aerial Vehicle navigation. - Maria E. Angelopoulou; Christos-Savvas Bouganis (ICIP, 2011)

Blur identification with assumption validation for sensor-based video reconstruction and its implementation on field programmable gate array. - Maria E. Angelopoulou; Christos-Savvas Bouganis; Peter Y. K. Cheung (IET Comput. Digit. Tech., 2011)

Parallel Tempering MCMC Acceleration Using Reconfigurable Hardware. - Grigorios Mingas; Christos-Savvas Bouganis (ARC, 2012)

The DeSyRe Project: On-Demand System Reliability. - Ioannis Sourdis; Christos Strydis; Christos-Savvas Bouganis; Babak Falsafi; Georgi Nedeltchev Gaydadjiev; Alirad Malek; R. Mariani; Dionisios N. Pnevmatikatos; Dhiraj K. Pradhan; Gerard K. Rauwerda; Kim Sunesen; Stavros Tzilis (DSD, 2012)

A Custom Precision Based Architecture for Accelerating Parallel Tempering MCMC on FPGAs without Introducing Sampling Error. - Grigorios Mingas; Christos-Savvas Bouganis (FCCM, 2012)

High-level linear projection circuit design optimization framework for FPGAs under over-clocking. - Rui Policarpo Duarte; Christos-Savvas Bouganis (FPL, 2012)

Early performance estimation of image compression methods on soft processors. - Adam Powell; Christos-Savvas Bouganis; Peter Y. K. Cheung (FPL, 2012)

Novel Cascade FPGA Accelerator for Support Vector Machines Classification. - Markos Papadonikolakis; Christos-Savvas Bouganis (IEEE Trans. Neural Networks Learn. Syst., 2012)

On Optimizing the Arithmetic Precision of MCMC Algorithms. - Grigorios Mingas; Farhan Rahman; Christos-Savvas Bouganis (FCCM, 2013)

FPGA-based acceleration of cascaded support vector machines for embedded applications (abstract only). - Christos Kyrkou; Christos-Savvas Bouganis; Theocharis Theocharides (FPGA, 2013)

Accelerating Random Forest training process using FPGA. - Chuan Cheng; Christos-Savvas Bouganis (FPL, 2013)

Domain-specific progressive sampling of face images. - Jianxiong Liu; Christos Bouganis; Peter Y. K. Cheung (GlobalSIP, 2013)

A hardware-efficient architecture for embedded real-time cascaded support vector machines classification. - Christos Kyrkou; Theocharis Theocharides; Christos-Savvas Bouganis (ACM Great Lakes Symposium on VLSI, 2013)

Face hallucination revisited: A joint framework. - Yonggang Jin; Christos Bouganis (ICIP, 2013)

An embedded hardware-efficient architecture for real-time cascade Support Vector Machine classification. - Christos Kyrkou; Theocharis Theocharides; Christos-Savvas Bouganis (ICSAMOS, 2013)

High-level power and performance estimation of FPGA-based soft processors and its application to design space exploration. - Adam Powell; Christos-Savvas Bouganis; Peter Y. K. Cheung (J. Syst. Archit., 2013)

Guest editorial: Workshop on Reconfigurable Computing. - Ioannis Sourdis; Christos-Savvas Bouganis; Miquel Pericàs (J. Syst. Archit., 2013)

DeSyRe: On-demand system reliability. - Ioannis Sourdis; Christos Strydis; Antonino Armato; Christos-Savvas Bouganis; Babak Falsafi; Georgi Nedeltchev Gaydadjiev; Sebastián Isaza; Alirad Malek; R. Mariani; Dionisios N. Pnevmatikatos; Dhiraj K. Pradhan; Gerard K. Rauwerda; et al. (Microprocess. Microsystems, 2013)

A Unified Framework for Over-Clocking Linear Projections on FPGAs under PVT Variation. - Rui Policarpo Duarte; Christos-Savvas Bouganis (ARC, 2014)

FPGA-Based Parallel DBSCAN Architecture. - Neil Scicluna; Christos-Savvas Bouganis (ARC, 2014)

DeSyRe: On-Demand Adaptive and Reconfigurable Fault-Tolerant SoCs. - Ioannis Sourdis; Christos Strydis; Antonino Armato; Christos-Savvas Bouganis; Babak Falsafi; Georgi Nedeltchev Gaydadjiev; Sebastián Isaza; Alirad Malek; R. Mariani; Samuel N. Pagliarini; Dionisios N. Pnevmatikatos; Dhiraj K. Pradhan; et al. (ARC, 2014)

Image progressive acquisition for hardware systems. - Jianxiong Liu; Christos-Savvas Bouganis; Peter Y. K. Cheung (DATE, 2014)

Pushing the performance boundary of linear projection designs through device specific optimisations (abstract only). - Rui Policarpo Duarte; Christos-Savvas Bouganis (FPGA, 2014)

Parallel resampling for particle filters on FPGAs. - Shuanglong Liu; Grigorios Mingas; Christos-Savvas Bouganis (FPT, 2014)

Over-clocking of Linear Projection Designs through Device Specific Optimisations. - Rui Policarpo Duarte; Christos-Savvas Bouganis (IPDPS Workshops, 2014)

Memory optimisation for hardware induction of axis-parallel decision tree. - Chuan Cheng; Christos-Savvas Bouganis (ReConFig, 2014)

Zero-latency datapath error correction framework for over-clocking DSP applications on FPGAs. - Rui Policarpo Duarte; Christos-Savvas Bouganis (ReConFig, 2014)

Kernel-based Adaptive Image Sampling. - Jianxiong Liu; Christos Bouganis; Peter Y. K. Cheung (VISAPP (1), 2014)

Vision-Based Egomotion Estimation on FPGA for Unmanned Aerial Vehicle Navigation. - Maria E. Angelopoulou; Christos-Savvas Bouganis (IEEE Trans. Circuits Syst. Video Technol., 2014)

Robust multi-image based blind face hallucination. - Yonggang Jin; Christos-Savvas Bouganis (CVPR, 2015)

FPGA based nonlinear Support Vector Machine training using an ensemble learning. - Mudhar Bin Rabieah; Christos-Savvas Bouganis (FPL, 2015)

Towards heterogeneous solvers for large-scale linear systems. - Stylianos I. Venieris; Grigorios Mingas; Christos-Savvas Bouganis (FPL, 2015)

An exact MCMC accelerator under custom precision regimes. - Shuanglong Liu; Grigorios Mingas; Christos-Savvas Bouganis (FPT, 2015)

ARC 2014 Over-Clocking KLT Designs on FPGAs under Process, Voltage, and Temperature Variation. - Rui Policarpo Duarte; Christos-Savvas Bouganis (ACM Trans. Reconfigurable Technol. Syst., 2015)

ARC 2014: A Multidimensional FPGA-Based Parallel DBSCAN Architecture. - Neil Scicluna; Christos-Savvas Bouganis (ACM Trans. Reconfigurable Technol. Syst., 2015)

fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs. - Stylianos I. Venieris; Christos-Savvas Bouganis (FCCM, 2016)

Semi-dense SLAM on an FPGA SoC. - Konstantinos Boikos; Christos-Savvas Bouganis (FPL, 2016)

Variation-Aware Optimisation for Reconfigurable Cyber-Physical Systems. - Rui Policarpo Duarte; Christos-Savvas Bouganis (DoCEIS, 2016)

FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine. - Mudhar Bin Rabieah; Christos-Savvas Bouganis (BigMine, 2016)

Area-driven partial reconfiguration for SEU mitigation on SRAM-based FPGAs. - Michail S. Vavouras; Christos-Savvas Bouganis (ReConFig, 2016)

A hybrid ASIC/FPGA fault-tolerant artificial pancreas. - Michail S. Vavouras; Rui Policarpo Duarte; Antonino Armato; Christos-Savvas Bouganis (SAMOS, 2016)

Population-Based MCMC on Multi-Core CPUs, GPUs and FPGAs. - Grigorios Mingas; Christos-Savvas Bouganis (IEEE Trans. Computers, 2016)

Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines. - Christos Kyrkou; Christos-Savvas Bouganis; Theocharis Theocharides; Marios M. Polycarpou (IEEE Trans. Neural Networks Learn. Syst., 2016)

Communication-Aware MCMC Method for Big Data Applications on FPGAs. - Shuanglong Liu; Christos-Savvas Bouganis (FCCM, 2017)

fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). - Stylianos I. Venieris; Christos-Savvas Bouganis (FPGA, 2017)

A high-performance system-on-chip architecture for direct tracking for SLAM. - Konstantinos Boikos; Christos-Savvas Bouganis (FPL, 2017)

Latency-driven design for FPGA-based convolutional neural networks. - Stylianos I. Venieris; Christos-Savvas Bouganis (FPL, 2017)

Robust Human Pose Tracking For Realistic Service Robot Applications. - Manolis Vasileiadis; Sotiris Malassiotis; Dimitrios Giakoumis; Christos-Savvas Bouganis; Dimitrios Tzovaras (ICCV Workshops, 2017)

fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs. - Stylianos I. Venieris; Christos-Savvas Bouganis (CoRR, 2017)

Particle MCMC algorithms and architectures for accelerating inference in state-space models. - Grigorios Mingas; Leonardo Bottolo; Christos-Savvas Bouganis (Int. J. Approx. Reason., 2017)

Special issue on applied reconfigurable computing. - Christos-Savvas Bouganis; Marek Gorgon; Vanderlei Bonato (Microprocess. Microsystems, 2017)

An Unbiased MCMC FPGA-Based Accelerator in the Land of Custom Precision Arithmetic. - Shuanglong Liu; Grigorios Mingas; Christos-Savvas Bouganis (IEEE Trans. Computers, 2017)

Approximate FPGA-Based LSTMs Under Computation Time Constraints. - Michalis Rizakis; Stylianos I. Venieris; Alexandros Kouris; Christos-Savvas Bouganis (ARC, 2018)

An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. - Muhammad Shafique 001; Theocharis Theocharides; Christos-Savvas Bouganis; Muhammad Abdullah Hanif; Faiq Khalid; Rehan Hafiz; Semeen Rehman (DATE, 2018)

DroNet: Efficient convolutional neural network detector for real-time UAV applications. - Christos Kyrkou; George Plastiras; Theocharis Theocharides; Stylianos I. Venieris; Christos-Savvas Bouganis (DATE, 2018)

Spike Rate Estimation Using Bayesian Adaptive Kernel Smoother (BAKS) and Its Application to Brain Machine Interfaces. - Nur Ahmadi; Timothy G. Constandinou; Christos-Savvas Bouganis (EMBC, 2018)

Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. - Alexandros Kouris; Stylianos I. Venieris; Christos-Savvas Bouganis (FPL, 2018)

f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. - Stylianos I. Venieris; Christos-Savvas Bouganis (FPL, 2018)

Scaling Up Loop Pipelining for High-Level Synthesis: A Non-iterative Approach. - Leandro de Souza Rosa; Vanderlei Bonato; Christos-Savvas Bouganis (FPT, 2018)

Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. - Alexandros Kouris; Christos-Savvas Bouganis (IROS, 2018)

CascadeCNN: Pushing the performance limits of quantisation. - Alexandros Kouris; Stylianos I. Venieris; Christos-Savvas Bouganis (CoRR, 2018)

f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. - Stylianos I. Venieris; Christos-Savvas Bouganis (CoRR, 2018)

Deploying Deep Neural Networks in the Embedded Space. - Stylianos I. Venieris; Alexandros Kouris; Christos-Savvas Bouganis (CoRR, 2018)

CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. - Alexandros Kouris; Stylianos I. Venieris; Christos-Savvas Bouganis (CoRR, 2018)

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. - Stylianos I. Venieris; Alexandros Kouris; Christos-Savvas Bouganis (ACM Comput. Surv., 2018)

Boosting the Hardware-Efficiency of Cascade Support Vector Machines for Embedded Classification Applications. - Christos Kyrkou; Theocharis Theocharides; Christos-Savvas Bouganis; Marios M. Polycarpou (Int. J. Parallel Program., 2018)

A Scalable FPGA-Based Architecture for Depth Estimation in SLAM. - Konstantinos Boikos; Christos-Savvas Bouganis (ARC, 2019)

End-to-End Hand Kinematic Decoding from LFPs Using Temporal Convolutional Network. - Nur Ahmadi; Timothy G. Constandinou; Christos-Savvas Bouganis (BioCAS, 2019)

Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices. - Manolis Vasileiadis; Christos-Savvas Bouganis; Georgios Stavropoulos; Dimitrios Tzovaras (BMVC, 2019)

Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization. - Ameer M. S. Abdelhadi; Christos-Savvas Bouganis; George A. Constantinides (FPT, 2019)

Power-Aware FPGA Mapping of Convolutional Neural Networks. - Alexander Montgomerie-Corcoran; Stylianos I. Venieris; Christos-Savvas Bouganis (FPT, 2019)

Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset. - Alexandros Kouris; Christos Kyrkou; Christos-Savvas Bouganis (IROS, 2019)

Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. - Alexandros Kouris; Stylianos I. Venieris; Christos-Savvas Bouganis (ISVLSI, 2019)

Decoding Hand Kinematics from Local Field Potentials Using Long Short-Term Memory (LSTM) Network. - Nur Ahmadi; Timothy G. Constandinou; Christos-Savvas Bouganis (NER, 2019)

Towards a Distributed, Chronically-Implantable Neural Interface. - 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 001; Timothy G. Constandinou (NER, 2019)

Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks. - Manolis Vasileiadis; Christos-Savvas Bouganis; Dimitrios Tzovaras (Comput. Vis. Image Underst., 2019)

Understanding of Human Behavior with a Robotic Agent Through Daily Activity Analysis. - Ioannis Kostavelis; Manolis Vasileiadis; Evangelos Skartados; Andreas Kargakos; Dimitrios Giakoumis; Christos-Savvas Bouganis; Dimitrios Tzovaras (Int. J. Soc. Robotics, 2019)

Context-based image acquisition from memory in digital systems. - Jianxiong Liu; Christos Bouganis; Peter Y. K. Cheung (J. Real Time Image Process., 2019)

Scaling Up Modulo Scheduling for High-Level Synthesis. - Leandro de Souza Rosa; Christos-Savvas Bouganis; Vanderlei Bonato (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs. - Stylianos I. Venieris; Christos-Savvas Bouganis (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny. - Zhewen Yu; Christos-Savvas Bouganis (ARC, 2020)

Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. - Aditya Rajagopal; Christos-Savvas Bouganis (CVPR Workshops, 2020)

A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. - Alexandros Kouris; Stylianos I. Venieris; Christos-Savvas Bouganis (DATE, 2020)

Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. - Diederik Adriaan Vink; Aditya Rajagopal; Stylianos I. Venieris; Christos-Savvas Bouganis (FPL, 2020)

Mapping Multiple LSTM models on FPGAs. - Stefano Ribes; Pedro Trancoso; Ioannis Sourdis; Christos-Savvas Bouganis (FPT, 2020)

Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. - Aditya Rajagopal; Diederik Adriaan Vink; Stylianos I. Venieris; Christos-Savvas Bouganis (ICML, 2020)

Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. - Alexandros Kouris; Stylianos I. Venieris; Michail Rizakis; Christos-Savvas Bouganis (IEEE Consumer Electron. Mag., 2020)

Real-Time Servo Press Force Estimation Based on Dual Particle Filter. - Jon Olaizola; Christos-Savvas Bouganis; Eneko Sáenz de Argandoña; Aitzol Iturrospe; José Manuel Abete (IEEE Trans. Ind. Electron., 2020)

Learning Boolean Circuits from Examples for Approximate Logic Synthesis. - Sina Boroumand; Christos-Savvas Bouganis; George A. Constantinides (ASP-DAC, 2021)

DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators. - Alexander Montgomerie-Corcoran; Christos-Savvas Bouganis (ASP-DAC, 2021)

POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators. - Alexander Montgomerie-Corcoran; Christos-Savvas Bouganis (DSD, 2021)

StreamSVD: Low-rank Approximation and Streaming Accelerator Co-design. - Zhewen Yu; Christos-Savvas Bouganis (FPT, 2021)

perf4sight: A toolflow to model CNN training performance on Edge GPUs. - Aditya Rajagopal; Christos-Savvas Bouganis (ICCVW, 2021)

Class-specific early exit design methodology for convolutional neural networks. - Vanderlei Bonato; Christos-Savvas Bouganis (Appl. Soft Comput., 2021)

Performance landscape of resource-constrained platforms targeting DNNs. - Panagiotis Miliadis; Christos-Savvas Bouganis; Dionisios N. Pnevmatikatos (CoRR, 2021)

Non-iterative SDC modulo scheduling for high-level synthesis. - Leandro de Souza Rosa; Christos-Savvas Bouganis; Vanderlei Bonato (Microprocess. Microsystems, 2021)

Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. - Guoxuan Xia; Christos-Savvas Bouganis (ACCV (6), 2022)

SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. - Alexander Montgomerie-Corcoran; Zhewen Yu; Christos-Savvas Bouganis (FPL, 2022)

MIDAS: Mutual Information Driven Approximate Synthesis. - Sina Boroumand; Christos-Savvas Bouganis; George A. Constantinides (ISVLSI, 2022)

Pushing the Efficiency of StereoNet: Exploiting Spatial Sparsity. - Georgios Zampokas; Christos-Savvas Bouganis; Dimitrios Tzovaras (VISIGRAPP (5: VISAPP), 2022)

Improved Spike-Based Brain-Machine Interface Using Bayesian Adaptive Kernel Smoother and Deep Learning. - Nur Ahmadi; Trio Adiono; Ayu Purwarianti; Timothy G. Constandinou; Christos-Savvas Bouganis (IEEE Access, 2022)

Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. - Aditya Rajagopal; Christos-Savvas Bouganis (CoRR, 2022)

Multi-DNN Accelerators for Next-Generation AI Systems. - Stylianos I. Venieris; Christos-Savvas Bouganis; Nicholas D. Lane (CoRR, 2022)

On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection. - Guoxuan Xia; Christos-Savvas Bouganis (CoRR, 2022)

FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition. - Petros Toupas; Christos-Savvas Bouganis; Dimitrios Tzovaras (ASAP, 2023)

ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. - Benjamin Biggs; Christos-Savvas Bouganis; George A. Constantinides (FCCM, 2023)

HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. - Petros Toupas; Alexander Montgomerie-Corcoran; Christos-Savvas Bouganis; Dimitrios Tzovaras (FCCM, 2023)

PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. - Alexander Montgomerie-Corcoran; Zhewen Yu; Jianyi Cheng; Christos-Savvas Bouganis (FPL, 2023)

fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs. - Petros Toupas; Christos-Savvas Bouganis; Dimitrios Tzovaras (FPL, 2023)

Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. - Zhewen Yu; Christos-Savvas Bouganis (FPL, 2023)

SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. - Alexander Montgomerie-Corcoran; Petros Toupas; Zhewen Yu; Christos-Savvas Bouganis (ICFPT, 2023)

Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. - Guoxuan Xia; Christos-Savvas Bouganis (ICCV, 2023)

SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. - Zhewen Yu; Christos-Savvas Bouganis (WACV, 2023)

Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration. - Jianyi Cheng; Cheng Zhang; Zhewen Yu; Alexander Montgomerie-Corcoran; Can Xiao; Christos-Savvas Bouganis; Yiren Zhao (CoRR, 2023)

AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators. - Zhewen Yu; Christos-Savvas Bouganis (CoRR, 2023)

Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. - Stylianos I. Venieris; Christos-Savvas Bouganis; Nicholas D. Lane (Computer, 2023)

Budget-aware Dynamic Spatially Adaptive Inference. - Georgios Zampokas; Christos-Savvas Bouganis; Dimitrios Tzovaras (BMVC, 2024)

A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. - Omar Sharif; Christos-Savvas Bouganis (DATE, 2024)

Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. - Zhewen Yu; Christos-Savvas Bouganis (DATE, 2024)

SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. - Petros Toupas; Zhewen Yu; Christos-Savvas Bouganis; Dimitrios Tzovaras (FCCM, 2024)

HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. - Zhewen Yu; Sudarshan Sreeram; Krish Agrawal; Junyi Wu; Alexander Montgomerie-Corcoran; Cheng Zhang; Jianyi Cheng; Christos-Savvas Bouganis; Yiren Zhao (FPL, 2024)

Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation. - Georgios Zampokas; Christos-Savvas Bouganis; Dimitrios Tzovaras (WACV (Workshops), 2024)

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. - Guoxuan Xia; Olivier Laurent 002; Gianni Franchi; Christos-Savvas Bouganis (CoRR, 2024)

Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. - Pengtao Chen; Mingzhu Shen; Peng Ye 006; Jianjian Cao; Chongjun Tu; Christos-Savvas Bouganis; Yiren Zhao; Tao Chen 003 (CoRR, 2024)

Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data. - Guoxuan Xia; Christos-Savvas Bouganis (Int. J. Comput. Vis., 2024)

A Resource-Aware Residual-Based Gaussian Belief Propagation Accelerator Toolflow. - Omar Sharif; Christos-Savvas Bouganis (DATE, 2025)

ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition. - Yinting Huang; Keran Zheng; Zhewen Yu; Christos-Savvas Bouganis (FCCM, 2025)

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. - Guoxuan Xia; Olivier Laurent 002; Gianni Franchi; Christos-Savvas Bouganis (ICLR, 2025)

Cached Multi-Lora Composition for Multi-Concept Image Generation. - Xiandong Zou; Mingzhu Shen; Christos-Savvas Bouganis; Yiren Zhao (ICLR, 2025)

Efficient Number of Functional Units and Loop Pipeline Design Space Exploration for High-Level Synthesis. - Leandro de Souza Rosa; Christos-Savvas Bouganis; Vanderlei Bonato (J. Braz. Comput. Soc., 2025)