Mustaqeem Khan
Orcid: 0000-0002-8020-3590Affiliations:
- United Arab Emirates University, Al Ain, UAE
- Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Department of Computer Vision, Abu Dhabi, UAE
- Sejong University, Seoul, South Korea (PhD 2019)
According to our database1,
Mustaqeem Khan authored at least 52 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Distilling Knowledge to Efficient Transformer for Semi-Supervised Citrus Maturity Detection Using Consumer UAVs.
IEEE Trans. Consumer Electron., May, 2026
CoRR, April, 2026
BiCLIP: Bidirectional and Consistent Language-Image Processing for Robust Medical Image Segmentation.
CoRR, March, 2026
IEEE Open J. Comput. Soc., 2026
Multi-plane multi-slice longitudinal MRI for deep ensemble progression detection based on enhanced residual multi-head self-attention.
Knowl. Based Syst., 2026
ST-GCVA: Hierarchical graph-based spatio-temporal reasoning for robust violence detection.
Intell. Syst. Appl., 2026
Proceedings of the IEEE International Conference on Consumer Electronics, 2026
Proceedings of the 2026 7th International Conference on Advancements in Computational Sciences (ICACS), 2026
2025
IEEE Consumer Electron. Mag., September, 2025
ACM Trans. Multim. Comput. Commun. Appl., July, 2025
IEEE Consumer Electron. Mag., July, 2025
IEEE Trans. Consumer Electron., February, 2025
IEEE Consumer Electron. Mag., January, 2025
Multi-Relay UAV-RIS Digital Twin-Based Framework for User Fairness and Load Balancing Using Multi-Tasking DRL.
IEEE Access, 2025
Proceedings of the 2025 7th International Conference on Image, Video and Signal Processing, 2025
Robosurg: Resilience of Vision-Language Models Against Adversarial Attacks in Robotic Surgery.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025
FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Proceedings of the 2025 Computing, 2025
TRUSS-Med: Medical Question Answering via Transformers, Retrieval, and Unified State Space Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Expert Syst. Appl., 2024
IEEE Access, 2024
CamoFocus: Enhancing Camouflage Object Detection with Split-Feature Focal Modulation and Context Refinement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
SSIVD-Net: A Novel Salient Super Image Classification and Detection Technique for Weaponized Violence.
Proceedings of the Intelligent Computing, 2024
HuBERT-CLAP: Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
Deepskinformer: Skin Lesion Segmentation Using Hierarchical Transformers And Edge Enhancement.
Proceedings of the IEEE International Conference on Image Processing, 2024
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
SpotCrack: Leveraging a Lightweight Framework for Crack Segmentation in Infrastructure.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
Drone-HAT: Hybrid Attention Transformer for Complex Action Recognition in Drone Surveillance Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network.
Knowl. Based Syst., 2023
J. Intell. Fuzzy Syst., 2023
TC-Net: A Modest & Lightweight Emotion Recognition System Using Temporal Convolution Network.
Comput. Syst. Sci. Eng., 2023
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
DDNet: Diabetic Retinopathy Detection System Using Skip Connection-based Upgraded Feature Block.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
ARTriViT: Automatic Face Recognition System Using ViT-Based Siamese Neural Networks with a Triplet Loss.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023
Gaming-Based Education System for Children on Road Safety in Metaverse Towards Smart Cities.
Proceedings of the IEEE International Smart Cities Conference, 2023
Proceedings of the IEEE International Smart Cities Conference, 2023
RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications.
Proceedings of the IEEE International Smart Cities Conference, 2023
Proceedings of the IEEE International Smart Cities Conference, 2023
PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2021
Age and Gender Recognition Using a Convolutional Neural Network with a Specially Designed Multi-Attention Module through Speech Spectrograms.
Sensors, 2021
Optimal feature selection based speech emotion recognition using two-stream deep convolutional neural network.
Int. J. Intell. Syst., 2021
Human action recognition using attention based LSTM network with dilated CNN features.
Future Gener. Comput. Syst., 2021
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach.
Expert Syst. Appl., 2021
Att-Net: Enhanced emotion recognition system using lightweight self-attention module.
Appl. Soft Comput., 2021
IEEE Access, 2021
2020
Sensors, 2020
Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features.
Sensors, 2020
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM.
IEEE Access, 2020