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ORCIDMuhammad Shahzad 0002
Person information
- affiliation: Technical University of Munich (TUM), Data Science in Earth Observation, Munich, Germany
- affiliation: National University of Sciences and Technology (NUST), School of Electrical Engineering and Computer Science (SEECS), Islamabad, Pakistan
- affiliation (PhD 2016): Technical University of Munich (TUM), Chair of Remote Sensing Technology, Munich, Germany
Other persons with the same name
- Muhammad Shahzad — disambiguation page
- Muhammad Shahzad 0001
![[0000-0003-4342-7875]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4342-7875")
— North Carolina State University, Department of Computer Science, Raleigh, USA (and 1 more) - Muhammad Shahzad 0003 — Preston University, Karachi, Pakistan (and 1 more)
- Muhammad Shahzad 0004 — Hazara University, Department of Mathematics and Statistics, Mansehra, Pakistan (and 1 more)
2020 – today
- 2025
[j34]Yang Mu, Jianhua Guo, Muhammad Shahzad, Xiao Xiang Zhu:
National-scale tree species mapping with deep learning reveals forest management insights in Germany. Int. J. Appl. Earth Obs. Geoinformation 139: 104522 (2025)- [j33]Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz:
TransPose Re-ID: transformers for pose invariant person Re-identification. J. Exp. Theor. Artif. Intell. 37(3): 377-390 (2025) - [j32]Atif Khurshid, Bostan Khan, Muhammad Shahzad, Muhammad Moazam Fraz:
TVFace: towards large-scale unsupervised face recognition in video streams. Pattern Anal. Appl. 28(2): 88 (2025) - [c24]Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu:
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification. AAAI 2025: 19572-19580 - [i9]Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu:
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification. CoRR abs/2503.05582 (2025) - 2024
- [j31]Nazia Perwaiz, M. M. Fraz, Muhammad Shahzad:
Smart surveillance with simultaneous person detection and re-identification. Multim. Tools Appl. 83(5): 15461-15482 (2024) - [j30]M. Q. Khan, Muhammad Shahzad, Saqib Ali Khan, M. M. Fraz, Xiao Xiang Zhu:
Beyond local patches: Preserving global-local interactions by enhancing self-attention via 3D point cloud tokenization. Pattern Recognit. 155: 110712 (2024) - [j29]Mansoor Khurshid, Muhammad Shahzad, Hasan Ali Khattak, Muhammad Imran Malik, Muhammad Moazam Fraz:
Vision-Based 3-D Localization of UAV Using Deep Image Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12020-12030 (2024) - [i8]Yuanyuan Wang, Qian Song, Dawood Wasif, Muhammad Shahzad, Christoph Koller, Jonathan Bamber, Xiao Xiang Zhu:
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning. CoRR abs/2412.06451 (2024) - 2023
- [j28]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu:
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56(S1): 1513-1589 (2023) - [j27]G. Murtaza Dogar, Muhammad Shahzad, Muhammad Moazam Fraz:
Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images. Biomed. Signal Process. Control. 79(Part): 104199 (2023) - [j26]Rabbia Hassan, M. M. Fraz, A. Rajput, Muhammad Shahzad:
Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds. Neurocomputing 526: 96-108 (2023) - [j25]Nazia Perwaiz, Muhammad Shahzad, M. M. Fraz:
Ubiquitous vision of transformers for person re-identification. Mach. Vis. Appl. 34(2): 27 (2023) - [j24]Saba Mehmood, Muhammad Shahzad, Muhammad Moazam Fraz:
DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud. Neural Process. Lett. 55(2): 881-904 (2023) - [j23]Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz:
Person re-identification: A retrospective on domain specific open challenges and future trends. Pattern Recognit. 142: 109669 (2023) - [j22]N. Pervaiz, M. M. Fraz, Muhammad Shahzad:
Per-former: rethinking person re-identification using transformer augmented with self-attention and contextual mapping. Vis. Comput. 39(9): 4087-4102 (2023) - [c23]Vaneeza Mehmood, Ramesha Murtaza, Zuhair Zafar, Muhammad Shahzad, Karsten Berns, Muhammad Moazam Fraz:
Time Series-based Active Labeling Framework for Curating a Multispectral Sentinel 2 Imagery Dataset for Crop Type Mapping. IGARSS 2023: 3506-3509 - [c22]Dawood Wasif, Yuanyuan Wang, Muhammad Shahzad, Rudolph Triebel, Xiao Xiang Zhu:
Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification. IGARSS 2023: 5018-5021 - 2022
- [j21]Nazeef Ul Haq, M. M. Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad:
Orientation aware weapons detection in visual data: a benchmark dataset. Computing 104(12): 2581-2604 (2022) - [j20]Syed S. Ali Zaidi, Muhammad Moazam Fraz, Muhammad Shahzad, Sharifullah Khan:
A multiapproach generalized framework for automated solution suggestion of support tickets. Int. J. Intell. Syst. 37(6): 3654-3681 (2022) - [j19]Sudipan Saha, Muhammad Shahzad, Patrick Ebel, Xiao Xiang Zhu:
Supervised Change Detection Using Prechange Optical-SAR and Postchange SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8170-8178 (2022) - [j18]Sudipan Saha, Muhammad Shahzad, Lichao Mou, Qian Song, Xiao Xiang Zhu:
Unsupervised Single-Scene Semantic Segmentation for Earth Observation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c21]Sudipan Saha, Shan Zhao, Muhammad Shahzad, Xiao Xiang Zhu:
Mitigating Distribution Shift for Multi-Sensor Classification. IGARSS 2022: 1201-1204 - [c20]Dawood Wasif, M. Q. Khan, Ramesha Murtaza, M. Z. Ahmad, Zuhair Zafar, Muhammad Shahzad, Karsten Berns, M. M. Fraz:
Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery. SITIS 2022: 163-169 - [c19]Afzaal Hussain, Ifrah Maqsood, Muhammad Shahzad, Muhammad Moazam Fraz:
Multimodal Knowledge Reasoning for Enhanced Visual Question Answering. SITIS 2022: 224-230 - [i7]Asmat Zahra, Nazia Perwaiz, Muhammad Shahzad, Muhammad Moazam Fraz:
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends. CoRR abs/2202.13121 (2022) - [i6]Syeda Roshana Ali, Anis Ur Rahman, Muhammad Shahzad:
Deep dual stream residual network with contextual attention for pansharpening of remote sensing images. CoRR abs/2207.12004 (2022) - 2021
- [j17]Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait:
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 105: 102568 (2021) - [j16]Imran Khurram, M. M. Fraz, Muhammad Shahzad, Nasir M. Rajpoot:
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics. Cogn. Comput. 13(3): 595-611 (2021) - [j15]Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad:
Stochastic attentions and context learning for person re-identification. PeerJ Comput. Sci. 7: e447 (2021) - [j14]Muhammad Hamza Mughal, Muhammad Jawad Khokhar, Muhammad Shahzad:
Assisting UAV Localization Via Deep Contextual Image Matching. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2445-2457 (2021) - [c18]Nosheen Abid, Muhammad Imran Malik, Muhammad Shahzad, Faisal Shafait, Haider Ali, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Marcus Liwicki:
Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning. DICTA 2021: 1-8 - [c17]Muhammad Gohar Javed, Minahil Raza, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Muhammad Shahzad, Faisal Shafait:
QuantYOLO: A High-Throughput and Power-Efficient Object Detection Network for Resource and Power Constrained UAVs. DICTA 2021: 1-8 - [c16]Nouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu:
Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image. ICCVW 2021: 752-761 - [c15]Sudipan Saha, Lichao Mou, Muhammad Shahzad, Xiao Xiang Zhu:
Segmentation of VHR EO Images using Unsupervised Learning. MACLEAN@PKDD/ECML 2021 - [i5]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu:
A Survey of Uncertainty in Deep Neural Networks. CoRR abs/2107.03342 (2021) - [i4]Sudipan Saha, Lichao Mou, Muhammad Shahzad, Xiao Xiang Zhu:
Segmentation of VHR EO Images using Unsupervised Learning. CoRR abs/2108.04222 (2021) - [i3]Nazeef Ul Haq, Muhammad Moazam Fraz, Tufail Sajjad Shah Hashmi, Muhammad Shahzad:
Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset. CoRR abs/2112.02221 (2021) - 2020
- [j13]Maria Kanwal, Asad Waqar Malik, Anis Ur Rahman, Imran Mahmood, Muhammad Shahzad:
Sustainable Vehicle-Assisted Edge Computing for Big Data Migration in Smart Cities. IEEE Internet Things J. 7(3): 1857-1871 (2020) - [j12]Imad Gohar, Qaiser Riaz, Muhammad Shahzad, Muhammad Zeeshan Ul Hasnain Hashmi, Hasan Tahir, Muhammad Ehsan ul Haq:
Person Re-Identification Using Deep Modeling of Temporally Correlated Inertial Motion Patterns. Sensors 20(3): 949 (2020) - [j11]Muhammad Haroon, Muhammad Shahzad, Muhammad Moazam Fraz:
Multisized Object Detection Using Spaceborne Optical Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3032-3046 (2020) - [c14]Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu:
FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds. CVPR Workshops 2020: 778-787 - [i2]Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu:
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding. CoRR abs/2011.14358 (2020)
2010 – 2019
- 2019
- [j10]Qaiser Riaz, Muhammad Zeeshan Ul Hasnain Hashmi, Muhammad Arslan Hashmi, Muhammad Shahzad, Hassan Errami, Andreas Weber:
Move Your Body: Age Estimation Based on Chest Movement During Normal Walk. IEEE Access 7: 28510-28524 (2019) - [j9]Saira Arshad, Muhammad Shahzad, Qaiser Riaz, Muhammad Moazam Fraz:
DPRNet: Deep 3D Point Based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds. IEEE Access 7: 68892-68904 (2019) - [j8]Muhammad Kashif Ali, Asif Rajput, Muhammad Shahzad, Farhan Khan, Faheem Akhtar, Anko Börner:
Multi-Sensor Depth Fusion Framework for Real-Time 3D Reconstruction. IEEE Access 7: 136471-136480 (2019) - [j7]Raja Muhammad Saad Bashir, Muhammad Shahzad, M. M. Fraz:
VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture. Pattern Recognit. 90: 52-65 (2019) - [j6]Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu:
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks. IEEE Trans. Geosci. Remote. Sens. 57(2): 1100-1116 (2019) - 2018
- [j5]Nazia Perwaiz, Muhammad Moazam Fraz, Muhammad Shahzad:
Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning. IEEE Access 6: 77334-77349 (2018) - [c13]Wajeeha Ansar, M. M. Fraz, Muhammad Shahzad, Imad Gohar, Sajid Javed, Soon Ki Jung:
Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-Based Person Re-identification. CIARP 2018: 654-661 - [c12]Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu:
Extraction of Buildings in VHR SAR Images Using Fully Convolution Neural Networks. IGARSS 2018: 4367-4370 - [c11]Saadia Batool, Muhammad Zeeshan Ali, Muhammad Shahzad, Muhammad Moazam Fraz:
End to End Person Re-Identification for Automated Visual Surveillance. IPAS 2018: 220-225 - [c10]Raja Muhammad Saad Bashir, Muhammad Shahzad, Muhammad Moazam Fraz:
DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification. ISVC 2018: 286-295 - [c9]Imran Khurram, Muhammad Moazam Fraz, Muhammad Shahzad:
Detailed Sentence Generation Architecture for Image Semantics Description. ISVC 2018: 423-432 - [c8]Maryam Badar, Muhammad Shahzad, M. M. Fraz:
Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network. MIUA 2018: 313-324 - [i1]Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu:
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks. CoRR abs/1808.06155 (2018) - 2017
- [c7]Yao Sun, Muhammad Shahzad, Xiao Xiang Zhu:
Building height estimation in single SAR image using OSM building footprints. JURSE 2017: 1-4 - 2016
- [j4]Muhammad Shahzad, Xiaoxiang Zhu:
Automatic Detection and Reconstruction of 2-D/3-D Building Shapes From Spaceborne TomoSAR Point Clouds. IEEE Trans. Geosci. Remote. Sens. 54(3): 1292-1310 (2016) - [c6]Michael Schmitt, Muhammad Shahzad, Xiaoxiang Zhu:
Forest remote sensing on the individual tree level by airborne millimeterwave SAR. IGARSS 2016: 151-154 - 2015
- [j3]Xiaoxiang Zhu, Nan Ge, Muhammad Shahzad:
Joint Sparsity in SAR Tomography for Urban Mapping. IEEE J. Sel. Top. Signal Process. 9(8): 1498-1509 (2015) - [j2]Muhammad Shahzad, Xiaoxiang Zhu:
Robust Reconstruction of Building Facades for Large Areas Using Spaceborne TomoSAR Point Clouds. IEEE Trans. Geosci. Remote. Sens. 53(2): 752-769 (2015) - [c5]Muhammad Shahzad, Xiao Xiang Zhu:
Detection of buildings in spaceborne TomoSAR point clouds via hybrid region growing and energy minimization technique. JURSE 2015: 1-4 - 2014
- [j1]Xiaoxiang Zhu, Muhammad Shahzad:
Facade Reconstruction Using Multiview Spaceborne TomoSAR Point Clouds. IEEE Trans. Geosci. Remote. Sens. 52(6): 3541-3552 (2014) - [c4]Muhammad Shahzad, Xiaoxiang Zhu:
Automatic large area reconstruction of building façades from spaceborne TomoSAR point clouds. IGARSS 2014: 1548-1551 - 2013
- [c3]Muhammad Shahzad, Xiaoxiang Zhu:
Reconstruction of building façades using spaceborne multiview TomoSAR point clouds. IGARSS 2013: 624-627 - 2012
- [c2]Muhammad Shahzad, Xiaoxiang Zhu, Richard Bamler:
Façade structure reconstruction using spaceborne TomoSAR point clouds. IGARSS 2012: 467-470 - [c1]Xiao Xiang Zhu, Muhammad Shahzad, Richard Bamler:
From TomoSAR Point Clouds to Objects: Façade Reconstruction. TyWRRS 2012: 106-113
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