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Habib Ullah
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2020 – today
- 2025
- [c33]Fadi Al Machot, Habib Ullah, Florenc Demrozi:
Recognizing Hand-Based Micro Activities Using Wrist-Worn Inertial Sensors: A Zero-Shot Learning Approach. The Combined Power of Research, Education, and Dissemination 2025: 215-234 - 2024
- [j24]Mahrin Tasfe, Akm Nivrito, Fadi Al Machot, Mohib Ullah, Habib Ullah:
Deep Learning Based Models for Paddy Disease Identification and Classification: A Systematic Survey. IEEE Access 12: 100862-100891 (2024) - [j23]Habib Ullah, Muhammad Uzair, Zohaib Jan, Mohib Ullah:
Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities. Array 23: 100358 (2024) - [i9]William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot:
RevCD - Reversed Conditional Diffusion for Generalized Zero-Shot Learning. CoRR abs/2409.00511 (2024) - [i8]Fadi Al Machot, Martin Thomas Horsch, Habib Ullah:
Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach. CoRR abs/2411.08463 (2024) - [i7]Fadi Al Machot, Martin Thomas Horsch, Habib Ullah:
Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet). CoRR abs/2411.08469 (2024) - 2023
- [j22]William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot:
An Integral Projection-Based Semantic Autoencoder for Zero-Shot Learning. IEEE Access 11: 85351-85360 (2023) - [j21]Habib Ullah, Qunsheng Cao, Saeed Ur Rahman, Ijaz Khan, Inam Ullah:
Design and performance evaluation of SWB MIMO antenna with tri-notch functionality and mutual coupling suppression. IEICE Electron. Express 20(17): 20230246 (2023) - [c32]Thinh Pham-Duc, Mohib Ullah, Muhammad Mudassar Yamin, Adane Nega Tarekegn, Azeddine Beghdadi, Faouzi Alaya Cheikh, Habib Ullah:
Attention Guided Deep Neural Network for Animal Ear Tag Classification in Low-Resolution Images. FIT 2023: 61-66 - [c31]Maryam Hassan, Farhan Hussain, Sultan Daud Khan, Mohib Ullah, Muhammad Mudassar Yamin, Habib Ullah:
Crowd counting using deep learning based head detection. Image Processing: Algorithms and Systems 2023: 293-1 - [i6]William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot:
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning. CoRR abs/2306.14628 (2023) - [i5]William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot:
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning. CoRR abs/2312.13100 (2023) - 2022
- [j20]Rafi Ullah, Sultan Daud Khan, Mohib Ullah, Fadi Al Machot, Habib Ullah:
Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking. IEEE Access 10: 75063-75073 (2022) - [j19]Salman Khaleghian, Habib Ullah, Einar Broch Johnsen, Anders Andersen, Andrea Marinoni:
AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning. IEEE Access 10: 84569-84578 (2022) - [j18]Abbas Anwar, Saira Kanwal, Muhammad Tahir, Muhammad Saqib, Muhammad Uzair, Mohammad Khalid Imam Rahmani, Habib Ullah:
Image Aesthetic Assessment: A Comparative Study of Hand-Crafted & Deep Learning Models. IEEE Access 10: 101770-101789 (2022) - [j17]Fadi Al Machot, Mohib Ullah, Habib Ullah:
HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning. J. Imaging 8(6): 171 (2022) - [j16]Mohib Ullah, Sareer Ul Amin, Muhammad Munsif, Utkurbek Safaev, Habib Khan, Salman Khan, Habib Ullah:
Serious Games in Science Education. A Systematic Literature Review. Virtual Real. Intell. Hardw. 4(3): 189-209 (2022) - [c30]Sultan Daud Khan, Rafi Ullah, Mussadiq Abdul Rahim, Muhammad Rashid, Zulfiqar Ali, Mohib Ullah, Habib Ullah:
An Efficient Deep Learning Framework for Face Mask Detection in Complex Scenes. AIAI (1) 2022: 159-169 - [c29]Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal:
One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders. Computer-Aided Diagnosis 2022 - [c28]Mohib Ullah, Zolbayar Shagdar, Habib Ullah, Faouzi Alaya Cheikh:
Semi-Supervised Principal Neighbourhood Aggregation Model For Sar Image Classification. SITIS 2022: 211-217 - 2021
- [j15]Abdulaziz Salamah Aljaloud, Habib Ullah:
IA-SSLM: Irregularity-Aware Semi-Supervised Deep Learning Model for Analyzing Unusual Events in Crowds. IEEE Access 9: 73327-73334 (2021) - [j14]Muhammad Nauman, Nadeem Akhtar, Omar Hussain Alhazmi, Mustafa Hameed, Habib Ullah, Nadia Khan:
Improving the Correctness of Medical Diagnostics Based on Machine Learning With Coloured Petri Nets. IEEE Access 9: 143434-143447 (2021) - [j13]Muhammad Mudassar Yamin, Mohib Ullah, Habib Ullah, Basel Katt:
Weaponized AI for cyber attacks. J. Inf. Secur. Appl. 57: 102722 (2021) - [j12]Habib Ullah, Ihtesham Ul Islam, Mohib Ullah, Muhammad Afaq, Sultan Daud Khan, Javed Iqbal:
Multi-feature-based crowd video modeling for visual event detection. Multim. Syst. 27(4): 589-597 (2021) - [j11]Salman Khaleghian, Habib Ullah, Thomas Krämer, Nick Hughes, Torbjørn Eltoft, Andrea Marinoni:
Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks. Remote. Sens. 13(9): 1734 (2021) - [j10]Salman Khaleghian, Habib Ullah, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni:
Deep Semisupervised Teacher-Student Model Based on Label Propagation for Sea Ice Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10761-10772 (2021) - [c27]Habib Ullah, Mohib Ullah, Sultan Daud Khan, Faouzi Alaya Cheikh:
Evaluating Deep Semi-Supervised Learning Methods for Computer Vision Applications. IRIACV 2021: 1-7 - [c26]Mohib Ullah, Muhammad Mudassar Yamin, Ahmed Kedir Mohammed, Sultan Daud Khan, Habib Ullah, Faouzi Alaya Cheikh:
Attention-based LSTM Network for Action Recognition in Sports. IRIACV 2021: 1-6 - [c25]Hamza Riaz, Muhammad Uzair, Habib Ullah, Mohib Ullah:
Anomalous Human Action Detection Using a Cascade of Deep Learning Models. EUVIP 2021: 1-5 - [c24]Zolbayar Shagdar, Mohib Ullah, Habib Ullah, Faouzi Alaya Cheikh:
Geometric Deep Learning for Multi-Object Tracking: A Brief Review. EUVIP 2021: 1-6 - [c23]Habib Ullah, Tawsin Uddin Ahmed, Mohib Ullah, Faouzi Alaya Cheikh:
IR-SSL: Improved Regularization Based Semi-Supervised Learning For Land Cover Classification. ICIP 2021: 874-878 - [c22]Habib Ullah, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni:
A Noise-Aware Deep Learning Model for Sea Ice Classification Based on Sentinel-1 Sar Imagery. IGARSS 2021: 816-819 - [i4]Hamza Riaz, Muhammad Uzair, Habib Ullah:
Anomalous entities detection using a cascade of deep learning models. CoRR abs/2103.05164 (2021) - [i3]Saira Kanwal, Muhammad Uzair, Habib Ullah:
A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment. CoRR abs/2103.11616 (2021) - 2020
- [j9]Sultan Daud Khan, Ahmed B. Altamimi, Mohib Ullah, Habib Ullah, Faouzi Alaya Cheikh:
TCM: Temporal Consistency Model for Head Detection in Complex Videos. J. Sensors 2020: 8861296:1-8861296:13 (2020) - [j8]Sher Ali, Ayaz Ahmad, Yasir Faheem, Muhammad Altaf, Habib Ullah:
Energy-efficient RRH-association and resource allocation in D2D enabled multi-tier 5G C-RAN. Telecommun. Syst. 74(2): 129-143 (2020) - [c21]Sultan Daud Khan, Maqsood Mahmud, Habib Ullah, Mohib Ullah, Faouzi Alaya Cheikh:
Crowd Congestion Detection in Videos. IRIACV 2020: 1-7 - [c20]Mohib Ullah, Maqsood Mahmud, Habib Ullah, Kashif Ahmad, Ali Shariq Imran, Faouzi Alaya Cheikh:
Head based tracking. IRIACV 2020: 1-6 - [c19]Habib Ullah, Sultan Daud Khan, Mohib Ullah, Faouzi Alaya Cheikh:
Social Modeling Meets Virtual Reality: An Immersive Implication. ICPR Workshops (4) 2020: 131-140 - [c18]Habib Ullah, Sultan Daud Khan, Mohib Ullah, Maqsood Mahmud, Faouzi Alaya Cheikh:
Generative Adversarial Networks: A Short Review. Image Processing: Algorithms and Systems 2020 - [c17]Sumit Sood, Belkacem Ould Bouamama, Jean-Yves Dieulot, Mathieu Bressel, Xiaohong Li, Habib Ullah, Adeline Loh:
Bond Graph based Multiphysic Modelling of Anion Exchange Membrane Water Electrolysis Cell. MED 2020: 752-757 - [i2]Mohib Ullah, Maqsood Mahmud, Habib Ullah, Kashif Ahmad, Ali Shariq Imran, Faouzi Alaya Cheikh:
Kalman Filter Based Multiple Person Head Tracking. CoRR abs/2006.06134 (2020)
2010 – 2019
- 2019
- [j7]Habib Ullah, Muhammad Uzair, Arif Mahmood, Mohib Ullah, Sultan Daud Khan, Faouzi Alaya Cheikh:
Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble. IEEE Access 7: 40144-40153 (2019) - [j6]Saleh M. Basalamah, Sultan Daud Khan, Habib Ullah:
Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes. IEEE Access 7: 71576-71584 (2019) - [j5]Sultan Daud Khan, Habib Ullah:
A survey of advances in vision-based vehicle re-identification. Comput. Vis. Image Underst. 182: 50-63 (2019) - [j4]Habib Ullah, Mohib Ullah, Muhammad Uzair:
A hybrid social influence model for pedestrian motion segmentation. Neural Comput. Appl. 31(11): 7317-7333 (2019) - [c16]Sultan Daud Khan, Habib Ullah, Mohib Ullah, Nicola Conci, Faouzi Alaya Cheikh, Azeddine Beghdadi:
Person Head Detection Based Deep Model for People Counting in Sports Videos. AVSS 2019: 1-8 - [c15]Mohib Ullah, Habib Ullah, Faouzi Alaya Cheikh:
Single Shot Appearance Model (Ssam) for Multi-target tracking. IRIACV 2019: 1-6 - [c14]Habib Ullah, Sultan Daud Khan, Mohib Ullah, Faouzi Alaya Cheikh, Muhammad Uzair:
Two Stream Model for Crowd Video Classification. EUVIP 2019: 93-98 - [c13]Sultan Daud Khan, Habib Ullah, Mohib Ullah, Faouzi Alaya Cheikh, Azeddine Beghdadi:
Dimension Invariant Model for Human Head Detection. EUVIP 2019: 99-104 - [c12]Mohib Ullah, Habib Ullah, Sultan Daud Khan, Faouzi Alaya Cheikh:
Stacked Lstm Network for Human Activity Recognition Using Smartphone Data. EUVIP 2019: 175-180 - [c11]Saira Kanwal, Muhammad Uzair, Habib Ullah, Sultan Daud Khan, Mohib Ullah, Faouzi Alaya Cheikh:
An Image Based Prediction Model for Sleep Stage Identification. ICIP 2019: 1366-1370 - [c10]Sultan Daud Khan, Habib Ullah, Mohammad Uzair, Mohib Ullah, Rehan Ullah Khan, Faouzi Alaya Cheikh:
Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization. ICIP 2019: 4474-4478 - [c9]Asad Masood Khattak, Habib Ullah, Hassan Ali Khalid, Ammara Habib, Muhammad Zubair Asghar, Fazal Masud Kundi:
Stock Market Trend Prediction using Supervised Learning. SoICT 2019: 85-91 - [c8]Muhammad Bilal, Mohib Ullah, Habib Ullah:
Chemometric Data Analysis with Autoencoder Neural Network. Visualization and Data Analysis 2019 - [i1]Sultan Daud Khan, Habib Ullah:
A survey of advances in vision-based vehicle re-identification. CoRR abs/1905.13258 (2019) - 2018
- [j3]Wilayat Khan, Habib Ullah, Aakash Ahmad, Khalid Sultan, Abdullah J. Alzahrani, Sultan Daud Khan, Mohammad Alhumaid, Sultan Abdulaziz:
CrashSafe: a formal model for proving crash-safety of Android applications. Hum. centric Comput. Inf. Sci. 8: 21 (2018) - [j2]Habib Ullah, Ahmed B. Altamimi, Muhammad Uzair, Mohib Ullah:
Anomalous entities detection and localization in pedestrian flows. Neurocomputing 290: 74-86 (2018) - 2017
- [j1]Habib Ullah, Muhammad Uzair, Mohib Ullah, Asif Khan, Ayaz Ahmad, Wilayat Khan:
Density independent hydrodynamics model for crowd coherency detection. Neurocomputing 242: 28-39 (2017) - 2016
- [c7]Mohib Ullah, Habib Ullah, Nicola Conci, Francesco G. B. De Natale:
Crowd behavior identification. ICIP 2016: 1195-1199 - 2015
- [b1]Habib Ullah:
Crowd Motion Analysis: Segmentation, Anomaly Detection, and Behavior Classification. University of Trento, Italy, 2015 - [c6]Habib Ullah, Mohib Ullah, Hina Afridi, Nicola Conci, Francesco G. B. De Natale:
Traffic accident detection through a hydrodynamic lens. ICIP 2015: 2470-2474 - 2014
- [c5]Habib Ullah, Mohib Ullah, Nicola Conci:
Real-time anomaly detection in dense crowded scenes. Video Surveillance and Transportation Imaging Applications 2014: 902608 - [c4]Habib Ullah, Mohib Ullah, Nicola Conci:
Dominant Motion Analysis in Regular and Irregular Crowd Scenes. HBU 2014: 62-72 - 2013
- [c3]Habib Ullah, Lorenza Tenuti, Nicola Conci:
Gaussian mixtures for anomaly detection in crowded scenes. Video Surveillance and Transportation Imaging Applications 2013: 866303 - [c2]Paolo Rota, Habib Ullah, Nicola Conci, Nicu Sebe, Francesco G. B. De Natale:
Particles cross-influence for entity grouping. EUSIPCO 2013: 1-5 - [c1]Habib Ullah, Nicola Conci:
Structured learning for crowd motion segmentation. ICIP 2013: 824-828
Coauthor Index
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last updated on 2025-01-13 21:33 CET by the dblp team
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