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ORCIDChristos-Savvas Bouganis
Christos Bouganis
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- affiliation: Imperial College London, UK
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2020 – today
- 2024
[j35]Guoxuan Xia
, Christos-Savvas Bouganis:
Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data. Int. J. Comput. Vis. 132(9): 3714-3752 (2024)- [c116]Omar Sharif, Christos-Savvas Bouganis:
A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. DATE 2024: 1-2 - [c115]Zhewen Yu, Christos-Savvas Bouganis:
Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. DATE 2024: 1-6 - [c114]Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras:
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. FCCM 2024: 185-196 - [c113]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. FPL 2024: 257-263 - [c112]Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation. WACV (Workshops) 2024: 949-957 - [i35]Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis:
Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR abs/2403.14715 (2024) - [i34]Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras:
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. CoRR abs/2403.18921 (2024) - [i33]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 abs/2406.01125 (2024) - [i32]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 abs/2406.03088 (2024) - 2023
- [j34]Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane:
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer 56(3): 70-79 (2023) - [c111]Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition. ASAP 2023: 119-126 - [c110]Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides:
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. FCCM 2023: 121-132 - [c109]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: 144-154 - [c108]Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs. FPL 2023: 86-92 - [c107]Zhewen Yu, Christos-Savvas Bouganis:
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. FPL 2023: 204-211 - [c106]Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis:
PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. FPL 2023: 288-293 - [c105]Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis:
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. ICFPT 2023: 179-187 - [c104]Guoxuan Xia, Christos-Savvas Bouganis:
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. ICCV 2023: 17322-17334 - [c103]Zhewen Yu, Christos-Savvas Bouganis:
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. WACV 2023: 1503-1512 - [i31]Guoxuan Xia, Christos-Savvas Bouganis:
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. CoRR abs/2303.08010 (2023) - [i30]Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras:
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. CoRR abs/2303.17218 (2023) - [i29]Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides:
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. CoRR abs/2304.08400 (2023) - [i28]Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition. CoRR abs/2305.18479 (2023) - [i27]Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs. CoRR abs/2305.19896 (2023) - [i26]Zhewen Yu, Christos-Savvas Bouganis:
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. CoRR abs/2306.05021 (2023) - [i25]Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis:
PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. CoRR abs/2307.07821 (2023) - [i24]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 abs/2307.15517 (2023) - [i23]Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis:
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. CoRR abs/2309.01587 (2023) - [i22]Zhewen Yu, Christos-Savvas Bouganis:
AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators. CoRR abs/2311.04764 (2023) - 2022
- [j33]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: 29341-29356 (2022) - [c102]Guoxuan Xia, Christos-Savvas Bouganis:
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. ACCV (6) 2022: 664-680 - [c101]Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis:
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. FPL 2022: 418-424 - [c100]Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides:
MIDAS: Mutual Information Driven Approximate Synthesis. ISVLSI 2022: 50-55 - [c99]Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
Pushing the Efficiency of StereoNet: Exploiting Spatial Sparsity. VISIGRAPP (5: VISAPP) 2022: 757-766 - [i21]Aditya Rajagopal, Christos-Savvas Bouganis:
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. CoRR abs/2203.00772 (2022) - [i20]Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane:
Multi-DNN Accelerators for Next-Generation AI Systems. CoRR abs/2205.09376 (2022) - [i19]Guoxuan Xia, Christos-Savvas Bouganis:
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. CoRR abs/2207.07506 (2022) - [i18]Guoxuan Xia, Christos-Savvas Bouganis:
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection. CoRR abs/2207.07517 (2022) - [i17]Zhewen Yu, Christos-Savvas Bouganis:
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. CoRR abs/2208.10404 (2022) - 2021
- [j32]Vanderlei Bonato, Christos-Savvas Bouganis:
Class-specific early exit design methodology for convolutional neural networks. Appl. Soft Comput. 107: 107316 (2021) - [j31]Leandro de Souza Rosa, Christos-Savvas Bouganis, Vanderlei Bonato:
Non-iterative SDC modulo scheduling for high-level synthesis. Microprocess. Microsystems 86: 104334 (2021) - [c98]Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides:
Learning Boolean Circuits from Examples for Approximate Logic Synthesis. ASP-DAC 2021: 524-529 - [c97]Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis:
DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators. ASP-DAC 2021: 703-708 - [c96]Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis:
POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators. DSD 2021: 442-448 - [c95]Zhewen Yu, Christos-Savvas Bouganis:
StreamSVD: Low-rank Approximation and Streaming Accelerator Co-design. FPT 2021: 1-9 - [c94]Aditya Rajagopal, Christos-Savvas Bouganis:
perf4sight: A toolflow to model CNN training performance on Edge GPUs. ICCVW 2021: 963-971 - [i16]Panagiotis Miliadis, Christos-Savvas Bouganis, Dionisios N. Pnevmatikatos:
Performance landscape of resource-constrained platforms targeting DNNs. CoRR abs/2107.10047 (2021) - [i15]Aditya Rajagopal, Christos-Savvas Bouganis:
perf4sight: A toolflow to model CNN training performance on Edge GPUs. CoRR abs/2108.05580 (2021) - [i14]Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis:
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. CoRR abs/2112.00170 (2021) - 2020
- [j30]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): 11-26 (2020) - [j29]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): 4088-4097 (2020) - [c93]Zhewen Yu, Christos-Savvas Bouganis:
A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny. ARC 2020: 330-344 - [c92]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: 3058-3067 - [c91]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. DATE 2020: 1656-1661 - [c90]Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis:
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. FPL 2020: 317-322 - [c89]Stefano Ribes, Pedro Trancoso, Ioannis Sourdis, Christos-Savvas Bouganis:
Mapping Multiple LSTM models on FPGAs. FPT 2020: 1-9 - [c88]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: 7943-7952 - [i13]Aditya Rajagopal, Christos-Savvas Bouganis:
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CoRR abs/2006.08554 (2020) - [i12]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 abs/2006.09049 (2020) - [i11]Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis:
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. CoRR abs/2006.13829 (2020)
2010 – 2019
- 2019
- [j28]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: 12-23 (2019) - [j27]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): 437-462 (2019) - [j26]Jianxiong Liu, Christos Bouganis, Peter Y. K. Cheung:
Context-based image acquisition from memory in digital systems. J. Real Time Image Process. 16(4): 1057-1076 (2019) - [j25]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): 912-925 (2019) - [j24]Stylianos I. Venieris, Christos-Savvas Bouganis:
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. 30(2): 326-342 (2019) - [c87]Konstantinos Boikos, Christos-Savvas Bouganis:
A Scalable FPGA-Based Architecture for Depth Estimation in SLAM. ARC 2019: 181-196 - [c86]Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis:
End-to-End Hand Kinematic Decoding from LFPs Using Temporal Convolutional Network. BioCAS 2019: 1-4 - [c85]Manolis Vasileiadis, Christos-Savvas Bouganis, Georgios Stavropoulos, Dimitrios Tzovaras:
Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices. BMVC 2019: 42 - [c84]Ameer M. S. Abdelhadi, Christos-Savvas Bouganis, George A. Constantinides:
Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization. FPT 2019: 90-98 - [c83]Alexander Montgomerie-Corcoran, Stylianos I. Venieris, Christos-Savvas Bouganis:
Power-Aware FPGA Mapping of Convolutional Neural Networks. FPT 2019: 327-330 - [c82]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: 51-58 - [c81]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. ISVLSI 2019: 568-573 - [c80]Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis:
Decoding Hand Kinematics from Local Field Potentials Using Long Short-Term Memory (LSTM) Network. NER 2019: 415-419 - [c79]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: 719-724 - [e3]Ioannis Sourdis, Christos-Savvas Bouganis, Carlos Álvarez, Leonel Antonio Toledo Díaz, Pedro Valero-Lara, Xavier Martorell:
29th International Conference on Field Programmable Logic and Applications, FPL 2019, Barcelona, Spain, September 8-12, 2019. IEEE 2019, ISBN 978-1-7281-4884-7 [contents] - [i10]Konstantinos Boikos, Christos-Savvas Bouganis:
A Scalable FPGA-based Architecture for Depth Estimation in SLAM. CoRR abs/1902.04907 (2019) - [i9]Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis:
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. CoRR abs/1905.00689 (2019) - 2018
- [j23]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): 56:1-56:39 (2018) - [j22]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): 1220-1246 (2018) - [c78]Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Approximate FPGA-Based LSTMs Under Computation Time Constraints. ARC 2018: 3-15 - [c77]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: 827-832 - [c76]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: 967-972 - [c75]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: 2547-2550 - [c74]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. FPL 2018: 155-162 - [c73]Stylianos I. Venieris, Christos-Savvas Bouganis:
f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. FPL 2018: 381-388 - [c72]Leandro de Souza Rosa, Vanderlei Bonato, Christos-Savvas Bouganis:
Scaling Up Loop Pipelining for High-Level Synthesis: A Non-iterative Approach. FPT 2018: 62-69 - [c71]Alexandros Kouris, Christos-Savvas Bouganis:
Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. IROS 2018: 1-9 - [i8]Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Approximate FPGA-based LSTMs under Computation Time Constraints. CoRR abs/1801.02190 (2018) - [i7]Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. CoRR abs/1803.05900 (2018) - [i6]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
CascadeCNN: Pushing the performance limits of quantisation. CoRR abs/1805.08743 (2018) - [i5]Stylianos I. Venieris, Christos-Savvas Bouganis:
f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. CoRR abs/1805.10174 (2018) - [i4]Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis:
Deploying Deep Neural Networks in the Embedded Space. CoRR abs/1806.08616 (2018) - [i3]Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. CoRR abs/1807.05053 (2018) - [i2]Christos Kyrkou, George Plastiras, Stylianos I. Venieris, Theocharis Theocharides, Christos-Savvas Bouganis:
DroNet: Efficient convolutional neural network detector for real-time UAV applications. CoRR abs/1807.06789 (2018) - 2017
- [j21]Grigorios Mingas, Leonardo Bottolo, Christos-Savvas Bouganis:
Particle MCMC algorithms and architectures for accelerating inference in state-space models. Int. J. Approx. Reason. 83: 413-433 (2017) - [j20]Christos-Savvas Bouganis, Marek Gorgon, Vanderlei Bonato:
Special issue on applied reconfigurable computing. Microprocess. Microsystems 52: 1 (2017) - [j19]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): 745-758 (2017) - [c70]Shuanglong Liu, Christos-Savvas Bouganis:
Communication-Aware MCMC Method for Big Data Applications on FPGAs. FCCM 2017: 9-16 - [c69]Stylianos I. Venieris, Christos-Savvas Bouganis:
fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). FPGA 2017: 291-292 - [c68]Konstantinos Boikos, Christos-Savvas Bouganis:
A high-performance system-on-chip architecture for direct tracking for SLAM. FPL 2017: 1-7 - [c67]Stylianos I. Venieris, Christos-Savvas Bouganis:
Latency-driven design for FPGA-based convolutional neural networks. FPL 2017: 1-8 - [c66]Manolis Vasileiadis, Sotiris Malassiotis, Dimitrios Giakoumis, Christos-Savvas Bouganis, Dimitrios Tzovaras:
Robust Human Pose Tracking For Realistic Service Robot Applications. ICCV Workshops 2017: 1363-1372 - [i1]Stylianos I. Venieris, Christos-Savvas Bouganis:
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs. CoRR abs/1711.08740 (2017) - 2016
- [j18]Grigorios Mingas, Christos-Savvas Bouganis:
Population-Based MCMC on Multi-Core CPUs, GPUs and FPGAs. IEEE Trans. Computers 65(4): 1283-1296 (2016) - [j17]Christos Kyrkou, Christos-Savvas Bouganis, Theocharis Theocharides, Marios M. Polycarpou:
Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 27(1): 99-112 (2016) - [c65]Stylianos I. Venieris, Christos-Savvas Bouganis:
fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs. FCCM 2016: 40-47 - [c64]Konstantinos Boikos, Christos-Savvas Bouganis:
Semi-dense SLAM on an FPGA SoC. FPL 2016: 1-4 - [c63]Rui Policarpo Duarte, Christos-Savvas Bouganis:
Variation-Aware Optimisation for Reconfigurable Cyber-Physical Systems. DoCEIS 2016: 237-252 - [c62]Mudhar Bin Rabieah, Christos-Savvas Bouganis:
FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine. BigMine 2016: 68-84 - [c61]Michail S. Vavouras, Christos-Savvas Bouganis:
Area-driven partial reconfiguration for SEU mitigation on SRAM-based FPGAs. ReConFig 2016: 1-6 - [c60]Michail S. Vavouras, Rui Policarpo Duarte, Antonino Armato, Christos-Savvas Bouganis:
A hybrid ASIC/FPGA fault-tolerant artificial pancreas. SAMOS 2016: 261-267 - [e2]Vanderlei Bonato, Christos Bouganis, Marek Gorgon:
Applied Reconfigurable Computing - 12th International Symposium, ARC 2016, Mangaratiba, RJ, Brazil, March 22-24, 2016, Proceedings. Lecture Notes in Computer Science 9625, Springer 2016, ISBN 978-3-319-30480-9 [contents] - 2015
- [j16]Neil Scicluna, Christos-Savvas Bouganis:
ARC 2014: A Multidimensional FPGA-Based Parallel DBSCAN Architecture. ACM Trans. Reconfigurable Technol. Syst. 9(1): 2:1-2:15 (2015) - [j15]Rui Policarpo Duarte, Christos-Savvas Bouganis:
ARC 2014 Over-Clocking KLT Designs on FPGAs under Process, Voltage, and Temperature Variation. ACM Trans. Reconfigurable Technol. Syst. 9(1): 7:1-7:17 (2015) - [c59]Yonggang Jin, Christos-Savvas Bouganis:
Robust multi-image based blind face hallucination. CVPR 2015: 5252-5260 - [c58]Mudhar Bin Rabieah, Christos-Savvas Bouganis:
FPGA based nonlinear Support Vector Machine training using an ensemble learning. FPL 2015: 1-4 - [c57]Stylianos I. Venieris, Grigorios Mingas, Christos-Savvas Bouganis:
Towards heterogeneous solvers for large-scale linear systems. FPL 2015: 1-8 - [c56]Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis:
An exact MCMC accelerator under custom precision regimes. FPT 2015: 120-127 - 2014
- [j14]Maria E. Angelopoulou, Christos-Savvas Bouganis:
Vision-Based Egomotion Estimation on FPGA for Unmanned Aerial Vehicle Navigation. IEEE Trans. Circuits Syst. Video Technol. 24(6): 1070-1083 (2014) - [c55]Neil Scicluna, Christos-Savvas Bouganis:
FPGA-Based Parallel DBSCAN Architecture. ARC 2014: 1-12 - [c54]Rui Policarpo Duarte, Christos-Savvas Bouganis:
A Unified Framework for Over-Clocking Linear Projections on FPGAs under PVT Variation. ARC 2014: 49-60 - [c53]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, Gerard K. Rauwerda, Robert M. Seepers, Rishad Ahmed Shafik, Georgios Smaragdos, Dimitris Theodoropoulos, Stavros Tzilis, Michalis Vavouras:
DeSyRe: On-Demand Adaptive and Reconfigurable Fault-Tolerant SoCs. ARC 2014: 312-317 - [c52]Jianxiong Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung:
Image progressive acquisition for hardware systems. DATE 2014: 1-6 - [c51]Rui Policarpo Duarte, Christos-Savvas Bouganis:
Pushing the performance boundary of linear projection designs through device specific optimisations (abstract only). FPGA 2014: 245 - [c50]Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis:
Parallel resampling for particle filters on FPGAs. FPT 2014: 191-198 - [c49]Rui Policarpo Duarte, Christos-Savvas Bouganis:
Over-clocking of Linear Projection Designs through Device Specific Optimisations. IPDPS Workshops 2014: 189-198 - [c48]Chuan Cheng, Christos-Savvas Bouganis:
Memory optimisation for hardware induction of axis-parallel decision tree. ReConFig 2014: 1-5 - [c47]Rui Policarpo Duarte, Christos-Savvas Bouganis:
Zero-latency datapath error correction framework for over-clocking DSP applications on FPGAs. ReConFig 2014: 1-7 - [c46]Jianxiong Liu, Christos Bouganis, Peter Y. K. Cheung:
Kernel-based Adaptive Image Sampling. VISAPP (1) 2014: 25-32 - 2013
- [j13]Ioannis Sourdis, Christos-Savvas Bouganis, Miquel Pericàs:
Guest editorial: Workshop on Reconfigurable Computing. J. Syst. Archit. 59(2): 77 (2013) - [j12]Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung:
High-level power and performance estimation of FPGA-based soft processors and its application to design space exploration. J. Syst. Archit. 59(10-D): 1144-1156 (2013) - [j11]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, Robert M. Seepers, Rishad A. Shafik, Kim Sunesen, Dimitris Theodoropoulos, Stavros Tzilis, Michalis Vavouras:
DeSyRe: On-demand system reliability. Microprocess. Microsystems 37(8-C): 981-1001 (2013) - [c45]Grigorios Mingas, Farhan Rahman, Christos-Savvas Bouganis:
On Optimizing the Arithmetic Precision of MCMC Algorithms. FCCM 2013: 181-188 - [c44]Christos Kyrkou, Christos-Savvas Bouganis, Theocharis Theocharides:
FPGA-based acceleration of cascaded support vector machines for embedded applications (abstract only). FPGA 2013: 267 - [c43]Chuan Cheng, Christos-Savvas Bouganis:
Accelerating Random Forest training process using FPGA. FPL 2013: 1-7 - [c42]Jianxiong Liu, Christos Bouganis, Peter Y. K. Cheung:
Domain-specific progressive sampling of face images. GlobalSIP 2013: 1021-1024 - [c41]Christos Kyrkou, Theocharis Theocharides, Christos-Savvas Bouganis:
A hardware-efficient architecture for embedded real-time cascaded support vector machines classification. ACM Great Lakes Symposium on VLSI 2013: 341-342 - [c40]Yonggang Jin, Christos Bouganis:
Face hallucination revisited: A joint framework. ICIP 2013: 981-985 - [c39]Christos Kyrkou, Theocharis Theocharides, Christos-Savvas Bouganis:
An embedded hardware-efficient architecture for real-time cascade Support Vector Machine classification. ICSAMOS 2013: 129-136 - 2012
- [j10]Markos Papadonikolakis, Christos-Savvas Bouganis:
Novel Cascade FPGA Accelerator for Support Vector Machines Classification. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1040-1052 (2012) - [c38]Grigorios Mingas, Christos-Savvas Bouganis:
Parallel Tempering MCMC Acceleration Using Reconfigurable Hardware. ARC 2012: 227-238 - [c37]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:
The DeSyRe Project: On-Demand System Reliability. DSD 2012: 335-342 - [c36]Grigorios Mingas, Christos-Savvas Bouganis:
A Custom Precision Based Architecture for Accelerating Parallel Tempering MCMC on FPGAs without Introducing Sampling Error. FCCM 2012: 153-156 - [c35]Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung:
Early performance estimation of image compression methods on soft processors. FPL 2012: 587-590 - [c34]Rui Policarpo Duarte, Christos-Savvas Bouganis:
High-level linear projection circuit design optimization framework for FPGAs under over-clocking. FPL 2012: 723-726 - 2011
- [j9]Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung:
Blur identification with assumption validation for sensor-based video reconstruction and its implementation on field programmable gate array. IET Comput. Digit. Tech. 5(4): 271-286 (2011) - [c33]Xiang Tian, Christos-Savvas Bouganis:
A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations. FPL 2011: 116-122 - [c32]Chuan Cheng, Christos-Savvas Bouganis:
An FPGA-based object detector with dynamic workload balancing. FPT 2011: 1-4 - [c31]Maria E. Angelopoulou, Christos-Savvas Bouganis:
Feature selection with geometric constraints for vision-based Unmanned Aerial Vehicle navigation. ICIP 2011: 2357-2360 - 2010
- [j8]Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides:
An Optimized Hardware Architecture of a Multivariate Gaussian Random Number Generator. ACM Trans. Reconfigurable Technol. Syst. 4(1): 2:1-2:21 (2010) - [j7]Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung:
Exploration of Heterogeneous FPGAs for Mapping Linear Projection Designs. IEEE Trans. Very Large Scale Integr. Syst. 18(3): 436-449 (2010) - [c30]Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides:
Design of a Financial Application Driven Multivariate Gaussian Random Number Generator for an FPGA. ARC 2010: 182-193 - [c29]Markos Papadonikolakis, Christos-Savvas Bouganis:
A Heterogeneous FPGA Architecture for Support Vector Machine Training. FCCM 2010: 211-214 - [c28]Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides:
Mapping Multiple Multivariate Gaussian Random Number Generators on an FPGA. FPL 2010: 89-94 - [c27]David Huw Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung:
GPU Versus FPGA for High Productivity Computing. FPL 2010: 119-124 - [c26]Markos Papadonikolakis, Christos-Savvas Bouganis:
A novel FPGA-based SVM classifier. FPT 2010: 283-286 - [c25]David Huw Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung:
A Salient Region Detector for GPU Using a Cellular Automata Architecture. ICONIP (2) 2010: 501-508
2000 – 2009
- 2009
- [j6]Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung:
Hardware architectures for eigenvalue computation of real symmetric matrices. IET Comput. Digit. Tech. 3(1): 72-84 (2009) - [j5]Christos-Savvas Bouganis, Sung-Boem Park, George A. Constantinides, Peter Y. K. Cheung:
Synthesis and Optimization of 2D Filter Designs for Heterogeneous FPGAs. ACM Trans. Reconfigurable Technol. Syst. 1(4): 24:1-24:28 (2009) - [j4]Katherine Compton, Roger F. Woods, Christos-Savvas Bouganis, Pedro C. Diniz:
Introduction to the Special Issue ARC'08. ACM Trans. Reconfigurable Technol. Syst. 2(4): 20:1 (2009) - [j3]Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides:
Robust Real-Time Super-Resolution on FPGA and an Application to Video Enhancement. ACM Trans. Reconfigurable Technol. Syst. 2(4): 22:1-22:29 (2009) - [c24]Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides:
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator. ARC 2009: 231-242 - [c23]Donald G. Bailey, Christos-Savvas Bouganis:
Implementation of a foveal vision mapping. FPT 2009: 22-29 - [c22]Donald G. Bailey, Christos-Savvas Bouganis:
Tracking performance of a foveated vision system. ICARA 2009: 414-419 - [c21]Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung:
A sensor-based approach to linear blur identification for real-time video enhancement. ICIP 2009: 141-144 - 2008
- [c20]Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides:
FPGA-based Real-time Super-Resolution on an Adaptive Image Sensor. ARC 2008: 124-135 - [c19]Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides:
Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA. ARC 2008: 231-242 - [c18]Oliver Bowen, Christos-Savvas Bouganis:
Real-time image super resolution using an FPGA. FPL 2008: 89-94 - [c17]Markos Papadonikolakis, Christos-Savvas Bouganis:
Efficient FPGA mapping of Gilbert's algorithm for SVM training on large-scale classification problems. FPL 2008: 385-390 - [c16]Markos Papadonikolakis, Christos-Savvas Bouganis:
A scalable FPGA architecture for non-linear SVM training. FPT 2008: 337-340 - [c15]Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung:
Video enhancement on an adaptive image sensor. ICIP 2008: 681-684 - [e1]Roger F. Woods, Katherine Compton, Christos-Savvas Bouganis, Pedro C. Diniz:
Reconfigurable Computing: Architectures, Tools and Applications, 4th International Workshop, ARC 2008, London, UK, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4943, Springer 2008, ISBN 978-3-540-78609-2 [contents] - 2007
- [j2]Suhaib A. Fahmy, Christos-Savvas Bouganis, Peter Y. K. Cheung, Wayne Luk:
Real-time hardware acceleration of the trace transform. J. Real Time Image Process. 2(4): 235-248 (2007) - [c14]Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung:
Efficient Mapping of Dimensionality Reduction Designs onto Heterogeneous FPGAs. FCCM 2007: 141-150 - [c13]Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung:
Efficient mapping of a Kalman filter into an FPGA using Taylor Expansion. FPL 2007: 345-350 - 2006
- [c12]Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung, Philip Heng Wai Leong, Stephen J. Motley:
Hardware efficient architectures for Eigenvalue computation. DATE 2006: 953-958 - [c11]Christos-Savvas Bouganis, Peter Y. K. Cheung, Zhaoping Li:
FPGA-Accelerated Pre-Attentive Segmentation in Primary Visual Cortex. FPL 2006: 1-6 - [c10]Suhaib A. Fahmy, Christos-Savvas Bouganis, Peter Y. K. Cheung, Wayne Luk:
Efficient Realtime FPGA Implementation of the Trace Transform. FPL 2006: 1-6 - [c9]Samuel Bayliss, Christos-Savvas Bouganis, George A. Constantinides, Wayne Luk:
An FPGA implementation of the simplex algorithm. FPT 2006: 49-56 - [c8]Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung:
A statistical framework for dimensionality reduction implementation in FPGAs. FPT 2006: 365-368 - [c7]Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung:
A Spatiotemporal Saliency Framework. ICIP 2006: 437-440 - 2005
- [c6]Christos-Savvas Bouganis, George A. Constantinides, Peter Y. K. Cheung:
A Novel 2D Filter Design Methodology for Heterogeneous Devices. FCCM 2005: 13-22 - [c5]Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides:
Heterogeneity Exploration for Multiple 2D Filter Designs. FPL 2005: 263-268 - [c4]Iosifina Pournara, Christos-Savvas Bouganis, George A. Constantinides:
FPGA-Accelerated Reconstruction of Gene Regulatory Networks. FPL 2005: 323-328 - [c3]Christos-Savvas Bouganis, George A. Constantinides, Peter Y. K. Cheung:
A novel 2D filter design methodology. ISCAS (1) 2005: 532-535 - 2004
- [b1]Christos-Savvas Bouganis:
Multiple light source detection with application to face recognition. Imperial College London, UK, 2004 - [j1]Christos-Savvas Bouganis, Mike Brookes:
Multiple Light Source Detection. IEEE Trans. Pattern Anal. Mach. Intell. 26(4): 509-514 (2004) - [c2]Christos-Savvas Bouganis, Peter Y. K. Cheung, Jeffrey Ng, Anil A. Bharath:
A Steerable Complex Wavelet Construction and Its Implementation on FPGA. FPL 2004: 394-403 - 2003
- [c1]Christos-Savvas Bouganis, Mike Brookes:
Class-based Multiple Light Detection: An Application to Faces. BMVC 2003: 1-10
Coauthor Index
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