Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University
Via Vito Volterra 62, 00146, Rome, Italy
Kamal Lamichhane received the BSc in Electronics and Communication Engineering from Pokhara Engineering College of Pokhara Univiersity, Nepal in 2003 and the MSc in Information and Communication Engineering from Institute of Engineering , Pulchowk Campus, Nepal in 2010. He pursued a Master in Business Adminstration from Indira Gandhi National Open University (IGNOU) in 2014. He was a research fellow from La Sapienza University, Rome, Italy in 2018. From 2019 he is pursuing the PhD (XXXV° cycle) in Applied Electronics at Roma Tre University, Rome, Italy.
His research interests are related to immersive multimedia quality assessment (images and light fields) with the use of the saliency maps, machine learning, deep learning, and computer vision.
In: IEEE Transactions on Broadcasting, pp. 1-11, 2023.
In: Signal Processing: Image Communication, pp. 116899, 2022, ISSN: 0923-5965.
In: Electronics, vol. 8, no. 12, pp. 1538, 2019, ISSN: 2079-9292.
HEROES: a video-based Human Emotion Recognition database Proceedings Article
In: 10th European Workshop on Visual Information Processing (EUVIP), 2022.
Saliency-based deep blind image quality assessment Proceedings Article
In: IS and T International Symposium on Electronic Imaging Science and Technology, 2021, (cited By 0).
A No Reference Deep Learning Based Model for Quality Assessment of UGC Videos Proceedings Article
In: 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1-5, 2021.
Exploiting saliency in quality assessment for light field images Proceedings Article
In: 2021 Picture Coding Symposium (PCS), pp. 1-5, 2021.
Geometric feature based approach for 360° image saliency estimation Proceedings Article
In: International Symposium on Image and Signal Processing and Analysis, ISPA, pp. 228-233, 2019, (cited By 1).
In: 2019 42nd International Conference on Telecommunications and Signal Processing (TSP), pp. 580-584, 2019.