272 research outputs found
Mediapipe based Preprocessed VGGFace2 Dataset
No full textVGGFace2 Dataset and Face Mesh PreprocessingIntroductionThe VGGFace2 dataset is a large-scale face recognition dataset containing over 3.31 million images of 9,131 identities, with an average of 362 images per identity. The dataset is designed to include extensive variations in pose, age, illumination, ethnicity, and profession, making it one of the most diverse and challenging face recognition datasets available. For more details, please refer to the original publication:VGGFace2: A dataset for recognizing faces across pose and age - DOI: 10.48550/arXiv.1710.08092
Preprocessing Using MediaPipe 3D Face MeshOn this dataset, we applied the MediaPipe-based 3D face mesh algorithm to accurately detect faces while removing all background elements, including hair. Our preprocessing strictly retained facial landmarks, ensuring that only the essential facial features were preserved. This approach significantly enhanced the accuracy and generalization of our model, as the model was trained exclusively on landmark-based facial data.
Training and PerformanceThe preprocessed data was utilized to train Xception model, which resulted in remarkably accurate outcomes due to the strictly landmark-based facial representation. The model demonstrated robust performance including explainable-AI, proving that eliminating unnecessary background elements contributed positively to its efficiency and reliability.
CitationIf you use this dataset or the preprocessed version in your work, please cite both of the following:
VGGFace2 Dataset:
@article{Cao2018VGGFace2, title={VGGFace2: A dataset for recognizing faces across pose and age}, author={Cao, Qiong and Shen, Li and Xie, Weidi and Parkhi, Omkar M and Zisserman, Andrew}, journal={arXiv preprint arXiv:1710.08092}, year={2018}}
DOI: [10.48550/arXiv.1710.08092](https://doi.org/10.48550/arXiv.1710.08092) Preprocessed Dataset using MediaPipe:@dataset{Shah2025_MediaPipe_FaceMesh, title={MediaPipe-based 3D Face Mesh Preprocessed VGGFace2 Dataset}, author={Shah, Syed Taimoor Hussain and Shah, Syed Adil Hussain and Zamir, Ammara and Qayyum, Kainat and Shah, Syed Baqir Hussain and Fatima, Syeda Maryam and Deriu, Marco Agostino}, year={2025}, doi={10.5281/zenodo.15078557}} DOI: [10.5281/zenodo.15078557](https://doi.org/10.5281/zenodo.15078557)
ContactFor any questions or further details, please feel free to contact us.Syed Taimoor Hussain ShahPolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, ItalyEmail: [email protected]: 0000-0002-6010-677
Incompatibility of Laws and Natural Resources: A Case Study of Land Revenue Laws and Their Implications in Federal Areas of Pakistan
Get PDFSocio-economic determinants of household out-of-pocket payments on healthcare in Pakistan
Get PDFIn Pakistan, Out-of-pocket (OOP) payment on healthcare is 67% of total expenditure on healthcare. Analysis of determinants of OOP health expenditure is sparse, and this paper attempts to fill the research gap. Results show household non-food expenditure was the single highest significant predictor of household OOP health expenditure. Analysis confirms earlier findings that economic status and number of old aged members are significant positive predictors of OOP payments. This association can direct government where to enhance allocations to healthcare. The interaction between white collar professions and their economic status in predicting OOP payments is an area for further research
Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal
Get PDFIrrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal
Pioneers of Library Movement in Pakistan
Get PDFThe paper aims to describe in brief the contribution of seven leaders of Pakistan librarianship, viz. K.B. Khalifa M. Asadullah, Prof. Dr. Abdul Moid, Dr. Abdus Subuh Qasimi, Muhammad Shafi, Fazal Elahi, Khawaja Nur Elahi and S. V. Hussain. The early library developments are given for better understanding of the role of these leaders
Determinants of Willingness to Donate and Volunteer to Help their Poor Fellow Students in the University
No full textEach society consists of poor and rich. Those who are rich have more chances to have a better and more education, health facilities and other amenities of life but the poor segment of society is more likely to be deprived of these and get trapped in the vicious circle of poverty. Assuming that the government is unable to reach each citizen because of increasing proportion of the poor population. For the harmonious development of the society, it is the responsibility of every individual of society to contribute to the betterment of poor segment. Do people have such preferences? The current study is undertaken with the objectives to investigate the willingness to donate and volunteer behavior of the students and to find out the factors which help in the cause of educational uplift of the poor fellow students in the Quaid I Azam University, Islamabad. The study used primary data of 251 respondents. The study employed descriptive analysis, the logistic regression model for the realization of the mentioned objectives. The study found that 50% of the student is willing to contribute and help their poor colleagues financially. In addition, the study also demonstrates that extrinsic factors i.e., Gender, Income of family and living away from home, are more influencing on a willingness to donate as compare to intrinsic i.e., Satisfaction and Religiosity. The policy implication is that the government should fulfill her responsibility in contributing to the education of poor and there must be facilitation for organizing societies to channelize the donated funds for the betterment of society in letter and spirit
Spectrum Distribution in Cognitive Radio: Error Correcting Codes Perspective
No full textCognitive radio is a growing zone in wireless communication which offers an opening in complete utilization of incompetently used frequency spectrum: deprived of crafting interference for the primary (authorized) user, the secondary user is indorsed to use the frequency band. Though, scheming a model with the least interference produced by the secondary user for primary user is a perplexing job. In this study we proposed a transmission model based on error correcting codes dealing with a countable number of pairs of primary and secondary users. However, we obtain an effective utilization of spectrum by the transmission of the pairs of primary and secondary users' data through the linear codes with different given lengths. Due to the techniques of error correcting codes we developed a number of schemes regarding an appropriate bandwidth distribution in cognitive radio.Isra Univ, SEAS, Islamabad 44000, PakistanQuaid I Azam Univ, Dept Math, Islamabad 44000, PakistanGIK Inst, Topi 44000, Khyber Pakhtunk, PakistanUNESP, IBILCE, Dept Math, BR-15054000 Sao Jose Do Rio Preto, SP, BrazilUNESP, IBILCE, Dept Math, BR-15054000 Sao Jose Do Rio Preto, SP, Brazi
Trends of research productivity across author gender and research fields: A multidisciplinary and multi-country observational study
Get PDFBibliographic properties of more than 75 million scholarly articles, are examined and trends in overall research productivity are analysed as a function of research field (over the period of 1970–2020) and author gender (over the period of 2006–2020). Potential disruptive effects of the Covid-19 pandemic are also investigated. Over the last decade (2010–2020), the annual number of publications have invariably increased every year with the largest relative increase in a single year happening in 2019 (more than 6% relative growth). But this momentum was interrupted in 2020. Trends show that Environmental Sciences and Engineering Environmental have been the fastest growing research fields. The disruption in patterns of scholarly publication due to the Covid-19 pandemic was unevenly distributed across fields, with Computer Science, Engineering and Social Science enduring the most notable declines. The overall trends of male and female productivity indicate that, in terms of absolute number of publications, the gender gap does not seem to be closing in any country. The trends in absolute gap between male and female authors is either parallel (e.g., Canada, Australia, England, USA) or widening (e.g., majority of countries, particularly Middle Eastern countries). In terms of the ratio of female to male productivity, however, the gap is narrowing almost invariably, though at markedly different rates across countries. While some countries are nearing a ratio of .7 and are well on track for a 0.9 female to male productivity ratio, our estimates show that certain countries (particularly across the Middle East) will not reach such targets within the next 100 years. Without interventional policies, a significant gap will continue to exist in such countries. The decrease or increase in research productivity during the first year of the pandemic, in contrast to trends established before 2020, was generally parallel for male and female authors. There has been no substantial gender difference in the disruption due to the pandemic. However, opposite trends were found in a few cases. It was observed that, in some countries (e.g., The Netherlands, The United States and Germany), male productivity has been more negatively affected by the pandemic. Overall, female research productivity seems to have been more resilient to the disruptive effect of Covid-19 pandemic, although the momentum of female researchers has been negatively affected in a comparable manner to that of males
Industry, community, and alumni networking: MoU & MoA, MBSB Bank - UiTM
No full textOn February 14, 2023, a significant event took place in Shah Alam as Universiti Teknologi MARA (UiTM) partnered up with MBSB Bank Berhad to sign a momentous Memorandum of Understanding (MoU). The primary focus of this MoU is to foster financial education and enhance learning through various financial management programs, benefiting both academic and business development. The esteemed Vice Chancellor of UiTM, Professor Datuk Ts. Dr. Hajah Roziah Mohd Janor, had the honor of signing the MoU alongside the Chief Executive Officer of the MBSB Bank Group, Datuk Nor Azam M. Taib. This significant moment was witnessed by the respected Dean of FBM, Professor Dr. Firdaus Abdullah, and MBSB Bank's Head of Digital Business, Zainul Abidin Mustafa, at the distinguished Tuanku Syed Sirajuddin Chancellery Building, UiTM Shah Alam
Mn3O4@ZnO Hybrid Material: An Excellent Photocatalyst for the Degradation of Synthetic Dyes including Methylene Blue, Methyl Orange and Malachite Green
Get PDFIn this study, we synthesized hybrid systems based on manganese oxide@zinc oxide (Mn3O4@ZnO), using sol gel and hydrothermal methods. The hybrid materials exhibited hierarchical morphologies and structures characterized by the hexagonal phase of ZnO and the tetragonal phase of Mn3O4. The hybrid materials were tested for degradation of methylene blue (MB), methyl orange (MO), and malachite green (MG) under ultraviolet (UV) light illumination. The aim of this work was to observe the effect of various amounts of Mn3O4 in enhancing the photocatalytic properties of ZnO-based hybrid structures towards the degradation of MB, MO and MG. The ZnO photocatalyst showed better performance with an increasing amount of Mn3O4, and the degradation efficiency for the hybrid material containing the maximum amount of Mn3O4 was found to be 94.59%, 89.99%, and 97.40% for MB, MO and MG, respectively. The improvement in the performance of hybrid materials can be attributed to the high charge separation rate of electron-hole pairs, the co-catalytic role, the large number of catalytic sites, and the synergy for the production of high quantities of oxidizing radicals. The performance obtained from the various Mn3O4@ZnO hybrid materials suggest that Mn3O4 can be considered an effective co-catalyst for a wide range of photocatalytic materials such as titanium dioxide, tin oxide, and carbon-based materials, in developing practical hybrid photocatalysts for the degradation of dyes and for wastewater treatment
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