Christos Bouganis

Christos Bouganis

Imperial College London

H-index: 30

Europe-United Kingdom

About Christos Bouganis

Christos Bouganis, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Hardware Design, FPGAs, Machine Learning, Computer Vision, SLAM.

His recent articles reflect a diverse array of research interests and contributions to the field:

SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It

Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data

Latency driven spatially sparse optimization for multi-branch cnns for semantic segmentation

Window-based early-exit cascades for uncertainty estimation: When deep ensembles are more efficient than single models

SATAY: a streaming architecture toolflow for accelerating YOLO Models on FPGA Devices

Fast prototyping next-generation accelerators for new ml models using mase: Ml accelerator system exploration

Svd-nas: Coupling low-rank approximation and neural architecture search

Christos Bouganis Information

University

Position

___

Citations(all)

3518

Citations(since 2020)

2290

Cited By

2185

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

73

i10Index(since 2020)

49

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Christos Bouganis Skills & Research Interests

Hardware Design

FPGAs

Machine Learning

Computer Vision

SLAM

Top articles of Christos Bouganis

Title

Journal

Author(s)

Publication Date

SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction

arXiv preprint arXiv:2403.18921

Petros Toupas

Zhewen Yu

Christos-Savvas Bouganis

Dimitrios Tzovaras

2024/3/27

Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It

arXiv preprint arXiv:2403.14715

Guoxuan Xia

Olivier Laurent

Gianni Franchi

Christos-Savvas Bouganis

2024/3/19

Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data

International Journal of Computer Vision

Guoxuan Xia

Christos-Savvas Bouganis

2024/4/23

Latency driven spatially sparse optimization for multi-branch cnns for semantic segmentation

Georgios Zampokas

Christos-Savvas Bouganis

Dimitrios Tzovaras

2024

Window-based early-exit cascades for uncertainty estimation: When deep ensembles are more efficient than single models

Guoxuan Xia

Christos-Savvas Bouganis

2023

SATAY: a streaming architecture toolflow for accelerating YOLO Models on FPGA Devices

Alexander Montgomerie-Corcoran

Petros Toupas

Zhewen Yu

Christos-Savvas Bouganis

2023/12/12

Fast prototyping next-generation accelerators for new ml models using mase: Ml accelerator system exploration

arXiv preprint arXiv:2307.15517

Jianyi Cheng

Cheng Zhang

Zhewen Yu

Alex Montgomerie-Corcoran

Can Xiao

...

2023/7/28

Svd-nas: Coupling low-rank approximation and neural architecture search

Zhewen Yu

Christos-Savvas Bouganis

2023

AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators

arXiv preprint arXiv:2311.04764

Zhewen Yu

Christos-Savvas Bouganis

2023/11/8

FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition

Petros Toupas

Christos-Savvas Bouganis

Dimitrios Tzovaras

2023/7/19

PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration

Alexander Montgomerie-Corcoran

Zhewen Yu

Jianyi Cheng

Christos-Savvas Bouganis

2023/9/4

ATHEENA: A Toolflow for Hardware Early-Exit Network Automation

Benjamin Biggs

Christos-Savvas Bouganis

George Constantinides

2023/5/8

Harflow3d: A latency-oriented 3d-cnn accelerator toolflow for har on fpga devices

Petros Toupas

Alexander Montgomerie-Corcoran

Christos-Savvas Bouganis

Dimitrios Tzovaras

2023/5/8

Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition

Zhewen Yu

Christos-Savvas Bouganis

2023/9/4

Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems

Computer

Stylianos I Venieris

Christos-Savvas Bouganis

Nicholas D Lane

2023/3/3

fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs

Petros Toupas

Christos-Savvas Bouganis

Dimitrios Tzovaras

2023/9/4

Augmenting softmax information for selective classification with out-of-distribution data

Guoxuan Xia

Christos-Savvas Bouganis

2022

Wta/tla: A uav-captured dataset for semantic segmentation of energy infrastructure

Georgios Zampokas

Evangelos Skartados

Dimitrios Alexiou

Kosmas Tsiakas

Ioannis Tzanakis

...

2022/6/21

Multi-DNN accelerators for next-generation AI systems

arXiv preprint arXiv:2205.09376

Stylianos I Venieris

Christos-Savvas Bouganis

Nicholas D Lane

2022/5/19

Improved spike-based brain-machine interface using Bayesian adaptive kernel smoother and deep learning

IEEE Access

Nur Ahmadi

Trio Adiono

Ayu Purwarianti

Timothy G Constandinou

Christos-Savvas Bouganis

2022/3/14

See List of Professors in Christos Bouganis University(Imperial College London)

Co-Authors

H-index: 72
Wayne Luk

Wayne Luk

Imperial College London

H-index: 51
Peter Y K Cheung

Peter Y K Cheung

Imperial College London

H-index: 44
George Constantinides

George Constantinides

Imperial College London

H-index: 31
Theocharis (Theo) Theocharides

Theocharis (Theo) Theocharides

University of Cyprus

H-index: 29
Timothy G. Constandinou

Timothy G. Constandinou

Imperial College London

H-index: 20
Christos Kyrkou

Christos Kyrkou

University of Cyprus

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