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Hamza Mukhtar
Hamza Mukhtar
Research Officer at KICS UET Lahore
Verified email at kics.edu.pk
Title
Cited by
Cited by
Year
Wheat plant counting using UAV images based on semi-supervised semantic segmentation
H Mukhtar, MZ Khan, MUG Khan, T Saba, R Latif
2021 1st International conference on artificial intelligence and data …, 2021
132021
Robust optimization of mobilenet for plant disease classification with fine tuned parameters
H Younis, MZ Khan, MUG Khan, H Mukhtar
2021 International Conference on Artificial Intelligence (ICAI), 146-151, 2021
112021
Wheat disease recognition through one-shot learning using fields images
H Mukhtar, MZ Khan, MUG Khan, H Younis
2021 International Conference on Artificial Intelligence (ICAI), 229-233, 2021
112021
CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor
H Mukhtar, A Afzal, S Alahmari, S Yonbawi
Neural Networks 166, 396-409, 2023
42023
CMOT: A cross-modality transformer for RGB-D fusion in person re-identification with online learning capabilities
H Mukhtar, MUG Khan
Knowledge-Based Systems 283, 111155, 2024
32024
STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids
H Mukhtar, MUG Khan
Neural Networks 168, 363-379, 2023
32023
ROS-Based Global Path Planning for Autonomous Ground Robot Using the Pre-Built Map of the Environment
H Mukhtar, MA Hasan, MUG Khan
2021 International Conference on Robotics and Automation in Industry (ICRAI …, 2021
22021
Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment
H Mukhtar, MUG Khan
arXiv preprint arXiv:2312.11929, 2023
2023
Scene Graph Generation With Structured Aspect of Segmenting the Big Distributed Clusters
AR Khan, H Mukhtar, T Saba, O Riaz, MUG Khan, SA Bahaj
IEEE Access 10, 24264-24272, 2022
2022
Progressive Learning in Cross-Modal Cross-Scale Fusion Transformer for Visible-Infrared Video-Based Person Reidentification
H Mukhtar, MU Ghani Khan
Available at SSRN 4656067, 0
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