Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Christos Kyrkou

C^3Net: End-to-End deep learning for efficient real-time visual active camera control


Jul 28, 2021
Christos Kyrkou

* Journal of Real-Time Image Processing , 2021. Real-time active vision, Smart camera, Deep learning, End-to-end learning https://www.youtube.com/watch?v=UuepDtWUpsg&ab_channel=ChristosKyrkou. arXiv admin note: text overlap with arXiv:2012.06428 

  Access Paper or Ask Questions

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report


May 17, 2021
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui

* Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/. arXiv admin note: substantial text overlap with arXiv:2105.08630; text overlap with arXiv:2105.07825, arXiv:2105.07809, arXiv:2105.08629 

  Access Paper or Ask Questions

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion


Apr 28, 2021
Christos Kyrkou, Theocharis Theocharides

* IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( Volume: 13), Page(s): 1687 - 1699, 2020 
* C.Kyrkou and T. Theocharides, "EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion," in IEEE J Sel Top Appl Earth Obs Remote Sens. (JSTARS), vol. 13, pp. 1687-1699, 2020. arXiv admin note: substantial text overlap with arXiv:1906.08716 

  Access Paper or Ask Questions

Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead


Jan 04, 2021
Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi

* IEEE Design and Test (Volume: 37, Issue: 2, April 2020): 30-57 
* Final version appears in https://ieeexplore.ieee.org/document/8979377 

  Access Paper or Ask Questions

Imitation-Based Active Camera Control with Deep Convolutional Neural Network


Dec 11, 2020
Christos Kyrkou

* Paper accepted in Fourth IEEE International Conference on Image Processing, Applications, and Systems (IEEE IPAS 2020) 

  Access Paper or Ask Questions

YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications


Jul 27, 2020
Christos Kyrkou


  Access Paper or Ask Questions

EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors


Nov 14, 2019
George Plastiras, Christos Kyrkou, Theocharis Theocharides

* In Proceedings of the 13th International Conference on Distributed Smart Cameras (ICDSC 2019) 
* George Plastiras, Christos Kyrkou, and Theocharis Theocharides. 2019. EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors. In Proceedings of the 13th International Conference on Distributed Smart Cameras (ICDSC 2019). ACM, New York, NY, USA, Article 8, 6 pages 

  Access Paper or Ask Questions

Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing


Nov 14, 2019
George Plastiras, Christos Kyrkou, Theocharis Theocharides

* In Proceedings of the 12th International Conference on Distributed Smart Cameras (ICDSC 2018) 
* George Plastiras, Christos Kyrkou, and Theocharis Theocharides. 2018. Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing. In Proceedings of the 12th International Conference on Distributed Smart Cameras (ICDSC '18). ACM, New York, NY, USA, Article 3, 6 pages 

  Access Paper or Ask Questions

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles


Jun 20, 2019
Christos Kyrkou, Theocharis Theocharides

* CVPR International Workshop on Computer Vision for UAVs (UAVision2019), 16 June 2019 

  Access Paper or Ask Questions

DroNet: Efficient convolutional neural network detector for real-time UAV applications


Jul 18, 2018
Christos Kyrkou, George Plastiras, Stylianos Venieris, Theocharis Theocharides, Christos-Savvas Bouganis

* 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE) 
* C. Kyrkou, G. Plastiras, T. Theocharides, S. I. Venieris and C. S. Bouganis, "DroNet: Efficient convolutional neural network detector for real-time UAV applications," 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, 2018, pp. 967-972. Keywords: Convolutional neural networks, Machine learning, autonomous aerial vehicles, computer vision, embedded systems 

  Access Paper or Ask Questions