Laksono Kurnianggoro

University of Ulsan — South Korea

Computer Science · Physical Sciences

12h-index517citations59works0.02yr avg
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Research Topics

Video Surveillance and Tracking Methods(27), Advanced Image and Video Retrieval Techniques(13), Autonomous Vehicle Technology and Safety(9), Robotics and Sensor-Based Localization(7), Advanced Neural Network Applications(6)

Publications59 total

High Performance and Efficient Real-Time Face Detector on Central Processing Unit Based on Convolutional Neural Network
IEEE Transactions on Industrial Informatics·2020· 28 cited
Obstacle Classification Based on Laser Scanner for Intelligent Vehicle Systems
Advances in computational intelligence and robotics book series·2019
Optimized Latent Features for Deep Image Compression
2019
Moving Object Detection for a Moving Camera Based on Global Motion Compensation and Adaptive Background Model
International Journal of Control Automation and Systems·2019· 45 cited
Classification of sports videos with combination of deep learning models and transfer learning
2019· 46 cited
Attention-Guided Model for Robust Face Detection System
Lecture notes in computer science·2019
Ensemble of Predictions from Augmented Input as Adversarial Defense for Face Verification System
Lecture notes in computer science·2019· 4 cited
深部画像圧縮のための最適化潜在特徴【JST・京大機械翻訳】
IEEE Conference Proceedings·2019
An Optimal Stock Market Portfolio Proportion Model Using Genetic Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)·2018· 4 citedOpen Access
Towards an Integrated Method of Detection and Description for Face Authentication System
2018· 3 cited
Traffic sign classification with dataset augmentation and convolutional neural network
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)·2018· 4 cited
A survey of 2D shape representation: Methods, evaluations, and future research directions
Neurocomputing·2018· 50 cited
Identification of pedestrian attributes using deep network
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society·2017· 10 cited
Comparative study of modern convolutional neural networks for smoke detection on image data
2017· 56 cited
Object classification for LIDAR data using encoded features
2017· 5 cited
A fuzzy model-based integration framework for vision-based intelligent surveillance systems
2017· 10 cited
Shape Classification Using Combined Features
Lecture notes in computer science·2017· 2 cited
Improving Traffic Sign Recognition Using Low Dimensional Features
Lecture notes in computer science·2017· 2 cited
Recent Advances in the Field of Foreground Detection: An Overview
Studies in computational intelligence·2017· 12 cited
Smoke Detection on Video Sequences Using Convolutional and Recurrent Neural Networks
Lecture notes in computer science·2017· 23 cited
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Frequent Co-authors

Kang-Hyun Jo(48), Wahyono Wahyono(18), Joko Hariyono(9), Alexander Filonenko(8), Danilo Cáceres Hernández(8), Ajmal Shahbaz(8), Dong-Wook Seo(6), Van-Dung Hoang(4), Yang Yu(2), Qing Tang(2), Ashraf Uddin Russo(1), Muhamad Dwisnanto Putro(1), Yang Yu(1), Chasandra Puspitasari(1), Muhammad Dzulfikar Fauzi(1), Kasliono Kasliono(1), Wahyu Sri Mulyani(1), Yu Yang(1), Yang Yu(1), Lukito Edi Nugroho(1)