Search Results for author: Fady Alnajjar

Found 3 papers, 2 papers with code

The 8th AI City Challenge

no code implementations • 15 Apr 2024 • Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa

The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (ITS), presenting significant research opportunities.

Dense Video Captioning

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FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection

1 code implementation • 27 May 2023 • Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Byambaa Dorj, Hamad Al Jassmi, Ganzorig Batnasan, Fady Alnajjar, Mohammed Abduljabbar, Fang-Pang Lin

With the advance of AI, road object detection has been a prominent topic in computer vision, mostly using perspective cameras.

Ranked #1 on 2D Object Detection on FishEye8K

object-detection Object Detection

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SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection

1 code implementation • MDPI Sensors 2022 • Munkh-Erdene Otgonbold, Munkhjargal Gochoo, Fady Alnajjar, Luqman Ali, Tan-Hsu Tan, Jun-Wei Hsieh and Ping-Yang Chen

The SHEL5K dataset had an advantage over other safety helmet datasets as it contains fewer images with better labels and more classes, making helmet detection more accurate.

Ranked #1 on Object Detection on SHEL5K

Benchmarking Object Detection

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