Publications

30 publications, 19 as first author. Also on Google Scholar and ORCID.

Under review

  1. EviMamba

    An evidence-gated selective state-space model for brain-tumor segmentation under missing MRI sequences.

    M. A. Khan et al. Under review, IEEE Transactions on Medical Imaging.

  2. Dexterous Grasp Generation in the Age of Foundation Models

    A survey of grasp generation from parallel-jaw grippers to anthropomorphic hands, organized around analytical, generative, reinforcement-learning and foundation-model paradigms, with a quantitative analysis of why reported success rates are not mutually comparable.

    M. A. Khan et al. Under review, Elsevier Engineering Applications of Artificial Intelligence.

2026

  1. Multi-THuMBS: Multi-person Tracking of 3D Human Meshes Beyond Video Shots

    J. On, M. S. Ali, M. A. Khan, S. Park, I. Moon, H. J. Chang, J. Kim, S. J. Ha, S. Baek

    European Conference on Computer Vision (ECCV), 2026

    arXiv

  2. FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

    Y. Y. Tiruneh, M. S. Ali, U. Jeong, M. A. Khan, M. K. C. Sayem, A. Bayramgeldiyev, B. Bhattarai, S. Baek

    European Conference on Computer Vision (ECCV), 2026

    arXiv

  3. 2nd Place Solution to the HANDS 2026 Workshop Challenge – Dexterous Grasp Motion Track: Single-Shot Trajectory Warping for Grasp Motion Generation

    M. A. Khan, W. Kim, S. Kim, M. Munsif, B. Bhattarai, S. Baek

    ECCV 2026 DexHAND Workshop, technical report (non-archival), 2026. 2nd place, Dexterous Grasp Motion Challenge

    arXiv

  4. HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

    M. K. C. Sayem, M. T. Chowdhury, Y. Y. Tiruneh, M. A. Khan, M. S. Ali, B. Bhattarai, S. Baek

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

    arXiv

  5. Pathology-Aware Hierarchical Transformers for Multi-Label Thoracic Disease Classification Using Chest X-Rays

    M. A. Khan, H. Park, K. Zagarzusem, S. Paek

    Discover Computing 29, 230, 2026 (open access)

    paper

  6. Crane Spreader Rotation Estimation for Vision-Based Automated Container Handling

    T. Chum, M. A. Khan, J. Bang, Y. Ahn, C.-U. Kim, S. Baek

    IEEE Access, 2026 (open access)

    paper

  7. Explainable Prediction of Crowdfunding Success Using Hierarchical Attention Network

    S. H. Lee, M. A. Khan, H. Kim

    Electronics 15(3), 570, 2026

    paper

2025

  1. MediFusionNet: A Novel Architecture for Multimodal Medical Image Analysis

    M. A. Khan, H. Park, D. Yamkhin, S. Paek

    International Journal of Imaging Systems and Technology 35, 2025

    paper

  2. Traffic Sign Recognition Under Visual Perturbations: Shadows, Light Patches, and Simulated Obstructions

    M. A. Khan, Y. Choi, J. Eum, H. Park

    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, SAIAD), 2025

    paper

  3. Adaptive Channel Attention and Multi-Path Convolutional Architecture for Brain Tumor Detection Using MRI Images

    M. A. Khan, H. Park

    Multimedia Tools and Applications 84, 44515–44542, 2025

    paper

  4. Multi-Path Convolutional Architecture with Channel-Wise Attention for Multiclass Brain Tumor Detection in Magnetic Resonance Imaging Scans

    M. A. Khan, T. Sugir, B. Dorj, G. Uuganchimeg, S. Paek, K. Zagarzusem, H. Park

    Electronics 14(9), 1741, 2025

    paper

  5. M-GAID: A Real-World Dataset for Ghosting Artifact Detection and Removal in Mobile Imaging

    M. A. Khan, H. Kim, J. Eum, Y. Myung, Y. Choi, H. Park

    IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW, WACI), pp. 1502–1511, 2025

    paper dataset

2024

  1. Regression Analysis of Ghosting Artifacts in Temporal Fusion Videos Using AutoML

    H. Kim, M. A. Khan, H. Park

    IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science (BCD), pp. 109–114, 2024

    paper

  2. TrafficXplainNet: An Advanced Deep Learning Framework for Traffic Sign Detection and Classification

    M. A. Khan et al.

    Korea Computer Congress (KCC), 2024

    paper

  3. FireXplainNet: Optimizing Convolution Block Architecture for Enhanced Wildfire Detection and Interpretability

    M. A. Khan, H. Park

    Electronics 13(10), 1881, 2024

    paper

  4. A Convolutional Block Base Architecture for Multiclass Brain Tumor Detection Using Magnetic Resonance Imaging

    M. A. Khan, H. Park

    Electronics 13(2), 364, 2024

    paper

  5. Exploring Explainable Artificial Intelligence Techniques for Interpretable Neural Networks in Traffic Sign Recognition Systems

    M. A. Khan, H. Park

    Electronics 13(2), 306, 2024

    paper

2023

  1. FireXplainer: An Interpretable Approach for Detection of Wildfires

    U. Ejaz, M. A. Khan, H. Park, H. Kim

    Korea Computer Congress (KCC), pp. 1109–1111, 2023. Best Paper Award

    paper

  2. An XAI-Based Framework for Interpretable Traffic Sign Recognition Using Deep Learning

    M. A. Khan, H. Park

    Korea Computer Congress (KCC), 2023

    paper

  3. A Lightweight Convolutional Neural Network (CNN) Architecture for Traffic Sign Recognition in Urban Road Networks

    M. A. Khan, H. Park, J. Chae

    Electronics 12(8), 1802, 2023

    paper

2022

  1. An Offline Signature Verification Leveraging One-Shot Learning

    U. Ejaz, M. A. Khan et al.

    Korea Computer Congress (KCC), pp. 1011–1013, 2022

    paper

  2. Leveraging Machine Learning for Fault-Tolerant Air Pollutants Monitoring for a Smart City Design

    M. A. Khan et al.

    Electronics 11(19), 3122, 2022

    paper

  3. Exploiting Neural Network for Temporal Multi-Variate Air Quality and Pollutant Prediction

    M. A. Khan et al.

    Journal of Korea Multimedia Society 25(2), 440–449, 2022

    paper

2021

  1. Evolution of Target Localization in Wireless Sensor Network (WSN): A Review

    M. A. Khan et al.

    IEEE International Congress of Advanced Technology and Engineering (ICOTEN), pp. 1–8, 2021

    paper

  2. Lightweight Convolutional Neural Network (CNN) Based COVID-19 Detection Using X-ray Images

    M. A. Khan, H. Park

    Journal of Multimedia Information System 8(4), 251–258, 2021

    paper

  3. Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review

    S. Usmani, A. Saboor, M. Haris, M. A. Khan, H. Park

    Sensors 21(15), 5134, 2021

    paper

  4. A Systematic Review of Location Aware Schemes in the Internet of Things

    M. A. Khan, A. Saboor, H. Kim, H. Park

    Sensors 21(9), 3228, 2021

    paper

2019

  1. Exploiting Cooperative Sensing for Accurate Target Tracking in Industrial Internet of Things

    M. A. Khan et al.

    International Journal of Distributed Sensor Networks 15(12), 2019

    paper

  2. Evolution of Wireless Standards for Health Monitoring

    A. Saboor, A. Mustafa, R. Ahmad, M. A. Khan, M. Haris, R. Hameed

    IEEE Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), pp. 268–272, 2019

    paper

2018

  1. Quality of Services in Warehouse Scale Computers

    M. A. K. Sherwani, M. A. Khan

    IEEE International Conference on Networking and Network Applications (NaNA), pp. 187–190, 2018

    paper