Background subtraction by modeling pixel and neighborhood information. - Shu-Jhen Fan-Jiang; Kahlil Muchtar; Chih-Yang Lin; Li-Wei Kang; Chia-Hung Yeh (APSIPA, 2012)

Abandoned object detection in complicated environments. - Kahlil Muchtar; Chih-Yang Lin; Li-Wei Kang; Chia-Hung Yeh (APSIPA, 2013)

Automated reconstruction of 3D object on embedded system for mobile apps. - Yu-Hsien Sung; Kahlil Muchtar; Hsiang-Erh Lai; Chia-Hung Yeh; Chia-Yen Chen (GCCE, 2014)

Heartbeat measurement based on laser speckle fingerprint. - Kahlil Muchtar; Chia-Hung Yeh; Cheng-Wei Lee 004; Wen-Hung Xu; Po-Yi Sung; Chia-Chen Kuo (ICS, 2014)

Grabcut-based abandoned object detection. - Kahlil Muchtar; Chih-Yang Lin; Chia-Hung Yeh (MMSP, 2014)

Real-time background modeling based on a multi-level texture description. - Chia-Hung Yeh; Chih-Yang Lin; Kahlil Muchtar; Li-Wei Kang (Inf. Sci., 2014)

Robust techniques for abandoned and removed object detection based on Markov random field. - Chih-Yang Lin; Kahlil Muchtar; Chia-Hung Yeh (J. Vis. Commun. Image Represent., 2016)

Secure multicasting of images via joint privacy-preserving fingerprinting, decryption, and authentication. - Chih-Yang Lin; Kahlil Muchtar; Chia-Hung Yeh; Chun-Shien Lu (J. Vis. Commun. Image Represent., 2016)

Moving object detection in the encrypted domain. - Chih-Yang Lin; Kahlil Muchtar; Jia-Ying Lin; Yu-Hsien Sung; Chia-Hung Yeh (Multim. Tools Appl., 2017)

Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance. - Chia-Hung Yeh; Chih-Yang Lin; Kahlil Muchtar; Hsiang-Erh Lai; Ming-Ting Sun (IEEE Trans. Ind. Electron., 2017)

An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter. - Kahlil Muchtar; Faris Rahman; Tjeng Wawan Cenggoro; Arif Budiarto; Bens Pardamean (ICCSCI, 2018)

An Efficient Event Detection Through Background Subtraction and Deep Convolutional Nets. - Kahlil Muchtar; Faris Rahman; Muhammad Rizky Munggaran; Alvin Prayuda Juniarta Dwiyantoro; Richard Dharmadi; Indra Nugraha; Chuan-Yu Chang (ICS, 2018)

Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability. - Chia-Hung Yeh; Wen-Yu Tseng; Li-Wei Kang; Cheng-Wei Lee 004; Kahlil Muchtar; Mei-Juan Chen (J. Vis. Commun. Image Represent., 2018)

Rain streak removal based on non-negative matrix factorization. - Chia-Hung Yeh; Chih-Yang Lin; Kahlil Muchtar; Pin-Hsian Liu (Multim. Tools Appl., 2018)

High Efficient Single-stage Steel Surface Defect Detection. - Fityanul Akhyar; Chih-Yang Lin; Kahlil Muchtar; Tung-Ying Wu; Hui-Fuang Ng (AVSS, 2019)

Coarse-to-Fine Object Detection for Ride-Hailing Market Analysis. - Alvin Prayuda Juniarta Dwiyantoro; Kahlil Muchtar; Faris Rahman; Muhammad Wiryahardiyanto; Reynaldy Hardiyanto (AVSS, 2019)

A unified smart surveillance system incorporating adaptive foreground extraction and deep learning-based classification. - Kahlil Muchtar; Faris Rahman; Muhammad Rizky Munggaran; Alvin Prayuda Juniarta Dwiyantoro; Richard Dharmadi; Indra Nugraha (ICAIIC, 2019)

Attention-based Approach for Efficient Moving Vehicle Classification. - Kahlil Muchtar; Nasaruddin; Afdhal; Indra Nugraha (ICCSCI, 2019)

A Lightweight Moving Vehicle Classification System Through Attention-Based Method and Deep Learning. - Nasaruddin Nasaruddin; Kahlil Muchtar; Afdhal Afdhal (IEEE Access, 2019)

Performance Evaluation of Binary Classification of Tuberculosis through Unsharp Masking and Deep Learning Technique. - Kahlil Muchtar; Khairul Munadi; Novi Maulina; Biswajeet Pradhan; Fitri Arnia; Budi Yanti (APSIPA, 2020)

Image Enhancement for Tuberculosis Detection Using Deep Learning. - Khairul Munadi; Kahlil Muchtar; Novi Maulina; Biswajeet Pradhan (IEEE Access, 2020)

Deep anomaly detection through visual attention in surveillance videos. - Nasaruddin Nasaruddin; Kahlil Muchtar; Afdhal Afdhal; Alvin Prayuda Juniarta Dwiyantoro (J. Big Data, 2020)

Moving Object Detection Through Image Bit-Planes Representation Without Thresholding. - Chih-Yang Lin; Kahlil Muchtar; Wei-Yang Lin; Zhi-Yao Jian (IEEE Trans. Intell. Transp. Syst., 2020)

Embedded-based Tomato Septoria Leaf Detection with Intel Movidius Neural Compute Stick. - Kahlil Muchtar; Chairuman Chairuman; Maya Fitria; Muhammad Yusuf Kardawi; Alifya Febriana; Nona Zarima; Chih-Yang Lin (GCCE, 2021)

Lightweight Pedestrian Detection through Guided Filtering and Deep Learning. - Kahlil Muchtar; Khairun Saddami; Akhyar Bintang; Tjeng Wawan Cenggoro; Bens Pardamean; Chih-Yang Lin; Tia Ernita (GCCE, 2021)

A Unified Video Summarization for Video Anomalies Through Deep Learning. - Kahlil Muchtar; Muhammad Rizky Munggaran; Adhiguna Mahendra; Khairul Anwar; Chih-Yang Lin (ICME Workshops, 2022)

Moving Pedestrian Localization and Detection With Guided Filtering. - Kahlil Muchtar; Al Bahri; Maya Fitria; Tjeng Wawan Cenggoro; Bens Pardamean; Adhiguna Mahendra; Muhammad Rizky Munggaran; Chih-Yang Lin (IEEE Access, 2022)

A Low-cost Raspberry Pi and Deep Learning System for Customer Analysis. - Muhammad Jurej Al Hamdi; Wildan Mumtaz; Nizam Albar; Teuku Abrar Mifta; Jamalur Ridha; Kahlil Muchtar (GCCE, 2023)

Effect of CLAHE-based Enhancement on Bean Leaf Disease Classification through Explainable AI. - Teuku Rizky Noviandy; Aga Maulana; Faris Khowarizmi; Kahlil Muchtar (GCCE, 2023)

Moving Object Detection for Complex Scenes by Merging BG Modeling and Deep Learning Method. - Chih-Yang Lin; Han-Yi Huang; Wei-Yang Lin; Hui-Fuang Ng; Kahlil Muchtar; Nadhila Nurdin (J. Artif. Intell. Soft Comput. Res., 2023)

EdANo-Vision: An Edge AI-Powered Anomaly Detector using Flask Web-App Framework. - Kahlil Muchtar; Adhiguna Mahendra; Muhammad Rizky Munggaran; Maya Fitria; Al Bahri; Fitri Arnia; Chih-Yang Lin (AVSS, 2024)

Utilizing Edge Device and Streamlit for Comparative Evaluation of CLAHE-Based Underwater Image Enhancement Techniques. - Nurul Asmi Amalia; Aida Afira; Maria Ulfa; Kahlil Muchtar (GCCE, 2024)

An Edge AI-Powered Defect Coffee Detector Using Streamlit Web App. - Rauzatul Jannah; Akbar Maulana Putra; Kahlil Muchtar; Safrizal Razali; Rika Sri Utami (GCCE, 2024)

Web-App based Melanoma Skin Cancer Classification through Streamlit and Deep Learning. - Muhammad Rizki Satria; Yulia Sufani; Kahlil Muchtar; Fathurrahman Fathurrahman; Yunida Yunida (GCCE, 2024)

Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language. - Hendri Ahmadian; Taufik Fuadi Abidin; Hammam Riza; Kahlil Muchtar (Appl. Comput. Intell. Soft Comput., 2024)

Evaluating the Impact of Data Cleaning for Improving Road Damage Detection Through Vision Transformer. - Andy Desman; Kahlil Muchtar; Maulisa Oktiana; Maya Fitria; Yuwaldi Away; Fardian Fardian; Hammam Riza (ICCE, 2025)

Edge AI-Based Detection for Defective Coffee Beans Using Deep Learning and Streamlit Framework. - Kahlil Muchtar; Yayang Hafifah; Alifya Febriana; Rahmad Dawood; Ahmadiar Ahmadiar; Al Bahri; Chih-Yang Lin; Ervin Yohannes (IEEE Access, 2025)

Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation. - Muhammad Chaidir; Taufik Fuadi Abidin; Hizir Sofyan; Kahlil Muchtar (Appl. Comput. Intell. Soft Comput., 2025)