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Bilel Benjdira - IEEE Xplore Author Profile

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Author details

Bilel Benjdira

Publications

11

Citations

274

Publications by Year

20192024

Co-Authors:

Sharif S. M. A.Ahmed AbdallahMohammad AbdelkaderNikhil AkalwadiAbdullatif Al-Hadid

Show All Co-Authors (187)

Bilel Benjdira

Affiliation

Robotics and Internet of Things Laboratory (RIOTU Lab)

College of Computer and Information Sciences

Prince Sultan University (PSU), Riyadh, Saudi Arabia

Publication Topics

Deep Learning,
Semantic Segmentation,
Feature Maps,
Global Features,
High-resolution Images,
Input Image,
L1 Loss,
Mean Opinion Score,
Receptive Field,
Reference Image,
Traffic Congestion,
User Study

Biography

Bilel Benjdira (Senior Member, IEEE) received the Ph.D. degree from the University of Carthage, Carthage, Tunisia, in 2021. He is currently an Artificial Intelligence Researcher with RIOTU Lab, Prince Sultan University, Riyadh, Saudi Arabia. His research interests include artificial intelligence, deep learning, and smart transportation systems.(Based on document published on 18 April 2024).

Publications

11

Citations

274

Publications by Year

20192024

Co-Authors:

Sharif S. M. A.
Ahmed Abdallah
Mohammad Abdelkader
Nikhil Akalwadi
Abdullatif Al-Hadid

Show All Co-Authors (187)

Author's Published Works

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Showing 1-11 of 11 results

Conferences (10)

Journals (1)

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Single Year
Anis Koubaa(11)
Bilel Benjdira(11)
Adel Ammar(7)
Anas M. Ali(3)
Zhao Zhang(2)
RIOTU Lab, Prince Sultan University, Riyadh, Saudi Arabia(2)
Prince Sultan University, Riyadh, Saudi Arabia(2)
Prince Sultan University, Saudi Arabia(2)
Gaitech Robotics, China(2)
CISTER, INESC-TEC, ISEP, Polytechnic Institute of Porto, Portugal(2)
2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)(3)
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS)(1)
2020 6th Conference on Data Science and Machine Learning Applications (CDMA)(1)
2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH)(1)
IEEE(11)
Riyadh, Saudi Arabia(5)
Vancouver, BC, Canada(2)
Atlanta, GA, USA(1)
Muscat, Oman(1)
Seattle, WA, USA(1)
Deep Learning(7)
Convolutional Neural Network(5)
Bounding Box(4)
Input Image(4)
Object Detection(4)

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Results

NTIRE 2024 Image Shadow Removal Challenge Report

Florin-Alexandru Vasluianu;Tim Seizinger;Zhuyun Zhou;Zongwei Wu;Cailian Chen;Radu Timofte;Wei Dong;Han Zhou;Yuqiong Tian;Jun Chen;Xueyang Fu;Xin Lu;Yurui Zhu;Xi Wang;Dong Li;Jie Xiao;Yunpeng Zhang;Zheng-Jun Zha;Zhao Zhang;Suiyi Zhao;Bo Wang;Yan Luo;Yanyan Wei;Zhihao Zhao;Long Sun;Tingting Yang;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Bilel Benjdira;Mohammed Nassif;Anis Koubaa;Ahmed Elhayek;Anas M. Ali;Kyotaro Tokoro;Kento Kawai;Kaname Yokoyama;Takuya Seno;Yuki Kondo;Norimichi Ukita;Chenghua Li;Bo Yang;Zhiqi Wu;Gao Chen;Yihan Yu;Sixiang Chen;Kai Zhang;Tian Ye;Wenbin Zou;Yunlong Lin;Zhaohu Xing;Jinbin Bai;Wenhao Chai;Lei Zhu;Ritik Maheshwari;Rakshank Verma;Rahul Tekchandani;Praful Hambarde;Satya Narayan Tazi;Santosh Kumar Vipparthi;Subrahmanyam Murala;Jaeho Lee;Seongwan Kim;Sharif S M A;Nodirkhuja Khujaev;Roman Tsoy;Fan Gao;Weidan Yan;Wenze Shao;Dengyin Zhang;Bin Chen;Siqi Zhang;Yanxin Qian;Yuanbin Chen;Yuanbo Zhou;Tong Tong;Rongfeng Wei;Ruiqi Sun;Yue Liu;Nikhil Akalwadi;Amogh Joshi;Sampada Malagi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Ali Murtaza;Uswah Khairuddin;Ahmad ’Athif Mohd Faudzi;Adinath Dukre;Vivek Deshmukh;Shruti S. Phutke;Ashutosh Kulkarni;Santosh Kumar Vipparthi;Anil Gonde;Subrahmanyam Murala;Arun karthik K;Manasa N;Shri Hari Priya;Wei Hao;Xingzhuo Yan;Minghan Fu

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Cited by: Papers (21)

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This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building on the last year edition, the current challenge was organized in two tracks, with a track focused on increased fidelity reconstruction, and a separate ranking for high performing perceptual quality solutions. Track 1 (fidelity) had 214 registered participants, with 17 teams submitting in the final phase, while Tr...Show More

NTIRE 2024 Image Shadow Removal Challenge Report

Florin-Alexandru Vasluianu;Tim Seizinger;Zhuyun Zhou;Zongwei Wu;Cailian Chen;Radu Timofte;Wei Dong;Han Zhou;Yuqiong Tian;Jun Chen;Xueyang Fu;Xin Lu;Yurui Zhu;Xi Wang;Dong Li;Jie Xiao;Yunpeng Zhang;Zheng-Jun Zha;Zhao Zhang;Suiyi Zhao;Bo Wang;Yan Luo;Yanyan Wei;Zhihao Zhao;Long Sun;Tingting Yang;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Bilel Benjdira;Mohammed Nassif;Anis Koubaa;Ahmed Elhayek;Anas M. Ali;Kyotaro Tokoro;Kento Kawai;Kaname Yokoyama;Takuya Seno;Yuki Kondo;Norimichi Ukita;Chenghua Li;Bo Yang;Zhiqi Wu;Gao Chen;Yihan Yu;Sixiang Chen;Kai Zhang;Tian Ye;Wenbin Zou;Yunlong Lin;Zhaohu Xing;Jinbin Bai;Wenhao Chai;Lei Zhu;Ritik Maheshwari;Rakshank Verma;Rahul Tekchandani;Praful Hambarde;Satya Narayan Tazi;Santosh Kumar Vipparthi;Subrahmanyam Murala;Jaeho Lee;Seongwan Kim;Sharif S M A;Nodirkhuja Khujaev;Roman Tsoy;Fan Gao;Weidan Yan;Wenze Shao;Dengyin Zhang;Bin Chen;Siqi Zhang;Yanxin Qian;Yuanbin Chen;Yuanbo Zhou;Tong Tong;Rongfeng Wei;Ruiqi Sun;Yue Liu;Nikhil Akalwadi;Amogh Joshi;Sampada Malagi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Ali Murtaza;Uswah Khairuddin;Ahmad ’Athif Mohd Faudzi;Adinath Dukre;Vivek Deshmukh;Shruti S. Phutke;Ashutosh Kulkarni;Santosh Kumar Vipparthi;Anil Gonde;Subrahmanyam Murala;Arun karthik K;Manasa N;Shri Hari Priya;Wei Hao;Xingzhuo Yan;Minghan Fu

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

A Heuristic Route Planning Scheme in Scalable VANET-Oriented Evolving Grid Graph (S-VoEGG)

Zahid Khan;Anis Koubaa;Bilel Benjdira

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Cited by: Papers (1)

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Clustering is an excellent solution to divide the network into manageable groups to reduce the excessive overhead. However, the number of clusters can lead to MAC contention (in dense clusters) and network disconnection (in sparse clusters) problems. This paper proposes a heuristic and scalable route planning scheme for traffic congestion avoidance and optimal data communications. The contribution...Show More

A Heuristic Route Planning Scheme in Scalable VANET-Oriented Evolving Grid Graph (S-VoEGG)

Zahid Khan;Anis Koubaa;Bilel Benjdira

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing

Bilel Benjdira;Anas M. Ali;Anis Koubaa

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (6)

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Image Dehazing aims to remove atmospheric fog or haze from an image. Although the Dehazing models have evolved a lot in recent years, few have precisely tackled the problem of High-Resolution hazy images. For this kind of image, the model needs to work on a downscaled version of the image or on cropped patches from it. In both cases, the accuracy will drop. This is primarily due to the inherent fa...Show More

Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing

Bilel Benjdira;Anas M. Ali;Anis Koubaa

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report

Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte;Han Zhou;Wei Dong;Yangyi Liu;Jun Chen;Yangyi Liu;Huan Liu;Liangyan Li;Zijun Wu;Jun Chen;Yubo Dong;Yuyan Li;Tian Qiu;Yu He;Yonghong Lu;Yinwei Wu;Zhenxiang Jiang;Songhua Liu;Xingyi Yang;Yongcheng Jing;Bilel Benjdira;Anas M. Ali;Anis Koubaa;Hao-Hsiang Yang;I-Hsiang Chen;Wei-Ting Chen;Zhi-Kai Huang;Yi-Chung Chen;Chia-Hsuan Hsieh;Hua-En Chang;Yuan-Chun Chiang;Sy-Yen Kuo;Yu Guo;Yuan Gao;Ryan Wen Liu;Yuxu Lu;Jingxiang Qu;Shengfeng He;Wenqi Ren;Trung Hoang;Haichuan Zhang;Amirsaeed Yazdani;Vishal Monga;Lehan Yang;Alex Jiahao Wu;Tiancheng Mai;Xiaofeng Cong;Xuemeng Yin;Xuefei Yin;Hazim Emad;Ahmed Abdallah;Yahya Yasser;Dalia Elshahat;Esraa Elbaz;Zhan Li;Wenqing Kuang;Ziwei Luo;Fredrik K. Gustafsson;Zheng Zhao;Jens Sjölund;Thomas B. Schön;Zhao Zhang;Yanyan Wei;Junhu Wang;Suiyi Zhao;Huan Zheng;Jin Guo;Yangfan Sun;Tianli Liu;Dejun Hao;Kui Jiang;Anjali Sarvaiya;Kalpesh Prajapati;Ratnadeep Patra;Pragnesh Barik;Chaitanya Rathod;Kishor Upla;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (6)

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This study assesses the outcomes of the NTIRE 2023 Challenge on Non-Homogeneous Dehazing, wherein novel techniques were proposed and evaluated on new image dataset called HD-NH-HAZE. The HD-NH-HAZE dataset contains 50 high resolution pairs of real-life outdoor images featuring nonhomogeneous hazy images and corresponding haze-free images of the same scene. The nonhomogeneous haze was simulated usi...Show More

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report

Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte;Han Zhou;Wei Dong;Yangyi Liu;Jun Chen;Yangyi Liu;Huan Liu;Liangyan Li;Zijun Wu;Jun Chen;Yubo Dong;Yuyan Li;Tian Qiu;Yu He;Yonghong Lu;Yinwei Wu;Zhenxiang Jiang;Songhua Liu;Xingyi Yang;Yongcheng Jing;Bilel Benjdira;Anas M. Ali;Anis Koubaa;Hao-Hsiang Yang;I-Hsiang Chen;Wei-Ting Chen;Zhi-Kai Huang;Yi-Chung Chen;Chia-Hsuan Hsieh;Hua-En Chang;Yuan-Chun Chiang;Sy-Yen Kuo;Yu Guo;Yuan Gao;Ryan Wen Liu;Yuxu Lu;Jingxiang Qu;Shengfeng He;Wenqi Ren;Trung Hoang;Haichuan Zhang;Amirsaeed Yazdani;Vishal Monga;Lehan Yang;Alex Jiahao Wu;Tiancheng Mai;Xiaofeng Cong;Xuemeng Yin;Xuefei Yin;Hazim Emad;Ahmed Abdallah;Yahya Yasser;Dalia Elshahat;Esraa Elbaz;Zhan Li;Wenqing Kuang;Ziwei Luo;Fredrik K. Gustafsson;Zheng Zhao;Jens Sjölund;Thomas B. Schön;Zhao Zhang;Yanyan Wei;Junhu Wang;Suiyi Zhao;Huan Zheng;Jin Guo;Yangfan Sun;Tianli Liu;Dejun Hao;Kui Jiang;Anjali Sarvaiya;Kalpesh Prajapati;Ratnadeep Patra;Pragnesh Barik;Chaitanya Rathod;Kishor Upla;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach

Wadii Boulila;Adel Ammar;Bilel Benjdira;Anis Koubaa

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2022 | Conference Paper |

Cited by: Papers (10)

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Deep learning (DL) is being increasingly utilized in healthcare-related fields due to its outstanding efficiency. However, we have to keep the individual health data used by DL models private and secure. Protecting data and preserving the privacy of individuals has become an increasingly prevalent issue. The gap between the DL and privacy communities must be bridged. In this paper, we propose priv...Show More

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach

Wadii Boulila;Adel Ammar;Bilel Benjdira;Anis Koubaa

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2022 | Conference Paper |

Deep Neural Network based Secured Control of Flying Vehicle in Urban Environment

Adeel Zaidi;Muhammad Kazim;Lixian Zhang;Ahmad Taher Azar;Anis Koubaa;Bilel Benjdira;Adel Ammar;Mohammad Abdelkader

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Aerial transport for daily inter- and intra-urban passenger mobility has been a human dream for decades ago. Now, the dream is near to be realized after the great technological advances achieved recently. As urban populations' size increases, traffic congestion and air pollution remain major threats to economic growth. However, questions concerning safe and secure autonomous flying vehicles remain...Show More

Deep Neural Network based Secured Control of Flying Vehicle in Urban Environment

Adeel Zaidi;Muhammad Kazim;Lixian Zhang;Ahmad Taher Azar;Anis Koubaa;Bilel Benjdira;Adel Ammar;Mohammad Abdelkader

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2022 | Conference Paper |

Parking Analytics Framework using Deep Learning

Bilel Benjdira;Anis Koubaa;Wadii Boulila;Adel Ammar

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

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With the number of vehicles continuously increasing, parking monitoring and analysis are becoming a substantial feature of modern cities. In this study, we present a methodology to monitor car parking areas and to analyze their occupancy in real-time. The solution is based on a combination between image analysis and deep learning techniques. It incorporates four building blocks put inside a pipeli...Show More

Parking Analytics Framework using Deep Learning

Bilel Benjdira;Anis Koubaa;Wadii Boulila;Adel Ammar

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2022 | Conference Paper |

A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions

Alam Noor;Kai Li;Adel Ammar;Anis Koubaa;Bilel Benjdira;Eduardo Tovar

2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Unmanned Aerial Vehicle (UAV) detection for public safety protection is becoming a critical issue in non-fly zones. There are plenty of attempts of the UAV detection using single stream (day or night vision). In this paper, we propose a new hybrid deep learning model to detect the UAV s in day and night visions with a high detection precision and accurate bounding box localization. The proposed hy...Show More

A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions

Alam Noor;Kai Li;Adel Ammar;Anis Koubaa;Bilel Benjdira;Eduardo Tovar

2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI)

Year: 2021 | Conference Paper |

DriftNet: Aggressive Driving Behaviour Detection using 3D Convolutional Neural Networks

Alam Noor;Bilel Benjdira;Adel Ammar;Anis Koubaa

2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2020 | Conference Paper |

Cited by: Papers (6)

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Aggressive driving (i.e., car drifting) is a dangerous behavior that puts human safety and life into a significant risk. In this paper, we targeted this issue and proposed DriftNet, a deep learning model to detect aggressive driving behavior automatically from videos. It is built upon a DenseNet 3D backbone. DrifNet has proven the ability to learn both spatial and temporal features related to car ...Show More

DriftNet: Aggressive Driving Behaviour Detection using 3D Convolutional Neural Networks

Alam Noor;Bilel Benjdira;Adel Ammar;Anis Koubaa

2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

Year: 2020 | Conference Paper |

Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning

Anis Koubaa;Adel Ammar;Bilel Benjdira;Abdullatif Al-Hadid;Belal Kawaf;Saleh Ali Al-Yahri;Abdelrahman Babiker;Koutaiba Assaf;Mohannad Ba Ras

2020 6th Conference on Data Science and Machine Learning Applications (CDMA)

Year: 2020 | Conference Paper |

Cited by: Papers (20)

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In the Muslim community, the prayer (i.e. Salat) is the second pillar of Islam, and it is the most essential and fundamental worshiping activity that believers have to perform five times a day. From a gestures' perspective, there are predefined human postures that must be performed in a precise manner. However, for several people, these postures are not correctly performed, due to being new to Sal...Show More

Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning

Anis Koubaa;Adel Ammar;Bilel Benjdira;Abdullatif Al-Hadid;Belal Kawaf;Saleh Ali Al-Yahri;Abdelrahman Babiker;Koutaiba Assaf;Mohannad Ba Ras

2020 6th Conference on Data Science and Machine Learning Applications (CDMA)

Year: 2020 | Conference Paper |

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Bilel Benjdira;Taha Khursheed;Anis Koubaa;Adel Ammar;Kais Ouni

2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS)

Year: 2019 | Conference Paper |

Cited by: Papers (195)

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Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring thanks to their high mobility and ability to cover areas at different altitudes and locations. One of the major challenges is to use aerial images to accurately detect cars and count-them in real-time for traffic monitoring purposes. Several deep learning techniques were recently proposed based on convoluti...Show More

Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Bilel Benjdira;Taha Khursheed;Anis Koubaa;Adel Ammar;Kais Ouni

2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS)

Year: 2019 | Conference Paper |

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