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Author search results
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- Christos-Savvas Bouganis
aka: Christos Bouganis
Imperial College London, UK
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Publication search results
found 189 matches
- 2024
- 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) - Omar Sharif, Christos-Savvas Bouganis:
A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. DATE 2024: 1-2 - Zhewen Yu, Christos-Savvas Bouganis:
Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. DATE 2024: 1-6 - Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras:
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. FCCM 2024: 185-196 - Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation. WACV (Workshops) 2024: 949-957 - 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) - 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) - 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) - 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
- 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) - Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition. ASAP 2023: 119-126 - Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides:
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. FCCM 2023: 121-132 - 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 - 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 - 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 - Zhewen Yu, Christos-Savvas Bouganis:
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. FPL 2023: 204-211 - 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 - 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 - Zhewen Yu, Christos-Savvas Bouganis:
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. WACV 2023: 1503-1512 - 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) - 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) - Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides:
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. CoRR abs/2304.08400 (2023) - 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) - 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) - Zhewen Yu, Christos-Savvas Bouganis:
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. CoRR abs/2306.05021 (2023) - 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) - 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) - 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) - Zhewen Yu, Christos-Savvas Bouganis:
AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators. CoRR abs/2311.04764 (2023) - 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: 29341-29356 (2022)
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