Merge pull request #1 from hafizas101/update-people-and-publications

update

content/authors/arslan-siddique/_index.md

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+---
+# Display name
+title: Arslan Siddique
+
+# delete the following three lines if you want that your page appears:
+# _build:
+#   render: always
+#   list: never
+
+
+# Is this the primary user of the site?
+superuser: false
+
+# Role/position
+role: PhD Student 
+
+# Organizations/Affiliations
+organizations:
+  - name: ISTI-CNR
+    url: 'https://www.isti.cnr.it/it/'
+
+# Short bio (displayed in user profile at end of posts)
+bio: 
+
+interests:
+  - Structure from Motion
+  - 3D Reconstruction
+  - Geometric Deep Learning
+
+education:
+  courses:
+    # - course: PhD in ...
+    #   institution: University ...
+    #   year: xxxxx
+    - course: Master's Degree in Computer Science and informatics
+      institution: Innopolis University
+      year: 2020
+    - course: Bachelor's Degree in Electrical Engineering
+      institution: University of Engineering and Technology, Lahore
+      year: 2018
+
+
+
+# Social/Academic Networking
+# For available icons, see: https://wowchemy.com/docs/getting-started/page-builder/#icons
+#   For an email link, use "fas" icon pack, "envelope" icon, and a link in the
+#   form "mailto:[email protected]" or "#contact" for contact widget.
+social:
+  - icon: envelope
+    icon_pack: fas
+    link: 'mailto:[email protected]'
+  - icon: google-scholar
+    icon_pack: ai
+    link: https://scholar.google.com/citations?user=RbFGDWsAAAAJ&hl=en
+  - icon: orcid
+    icon_pack: fab
+    link: https://orcid.org/0000-0003-0128-8563
+  - icon: github
+    icon_pack: fab
+    link: https://github.com/hafizas101/
+  - icon: twitter
+    icon_pack: fab
+    link: https://twitter.com/ArslanS38350763
+# Link to a PDF of your resume/CV from the About widget.
+# To enable, copy your resume/CV to `static/files/cv.pdf` and uncomment the lines below.
+# - icon: cv
+#   icon_pack: ai
+#   link: files/cv.pdf
+
+# Enter email to display Gravatar (if Gravatar enabled in Config)
+# email: ''
+
+# Highlight the author in author lists? (true/false)
+highlight_name: false
+
+# Organizational groups that you belong to (for People widget)
+#   Set this to `[]` or comment out if you are not using People widget.
+user_groups:
+  - PhD Students
+---
+
+Arslan Siddique joined Visual Computing Lab as a Marie Curie PhD fellow in EVOCATION ITN. Currently, he is in the final year of his PhD Computer Science at University of Pisa. His research focuses on Structure from Motion and 3D reconstruction. He is working on the development of MoReLab, which is a software for user-assisted 3D reconstruction.

content/publication/2023/SBC23-MoReLab/cite.bib

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+@article{SBC23-MoReLab,
+  title = {MoReLab: A Software for User-Assisted 3D Reconstruction},
+  author={Siddique, Arslan and Banterle, Francesco and Corsini, Massimiliano and Cignoni, Paolo and Sommerville, Daniel and Joffe, Chris},
+  journal = {Sensors},
+  year    = 2023,
+  volume  = 23,
+  number  = 14,
+ARTICLE-NUMBER = {6456},
+URL = {https://www.mdpi.com/1424-8220/23/14/6456},
+PubMedID = {37514750},
+ISSN = {1424-8220},
+ABSTRACT = {We present MoReLab, a tool for user-assisted 3D reconstruction. This reconstruction requires an understanding of the shapes of the desired objects. Our experiments demonstrate that existing Structure from Motion (SfM) software packages fail to estimate accurate 3D models in low-quality videos due to several issues such as low resolution, featureless surfaces, low lighting, etc. In such scenarios, which are common for industrial utility companies, user assistance becomes necessary to create reliable 3D models. In our system, the user first needs to add features and correspondences manually on multiple video frames. Then, classic camera calibration and bundle adjustment are applied. At this point, MoReLab provides several primitive shape tools such as rectangles, cylinders, curved cylinders, etc., to model different parts of the scene and export 3D meshes. These shapes are essential for modeling industrial equipment whose videos are typically captured by utility companies with old video cameras (low resolution, compression artifacts, etc.) and in disadvantageous lighting conditions (low lighting, torchlight attached to the video camera, etc.). We evaluate our tool on real industrial case scenarios and compare it against existing approaches. Visual comparisons and quantitative results show that MoReLab achieves superior results with regard to other user-interactive 3D modeling tools.},
+DOI = {10.3390/s23146456}
+}

content/publication/2023/SBC23-MoReLab/index.md

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+---
+# delete the following three lines if you want that your page appears:
+# _build:
+#  render: always
+#  list: never
+
+title: 'MoReLab: A Software for User-Assisted 3D Reconstruction'
+authors:
+  - Arslan Siddique
+  - Francesco Banterle
+  - Massimiliano Corsini
+  - Paolo Cignoni
+  - Daniel Sommerville
+  - Chris Joffe
+
+date: '2023-07-17T00:00:00Z'
+doi: 'https://doi.org/10.3390/s23146456'
+
+publication_types: ['2']
+
+# Publication name and optional abbreviated publication name.
+publication: '*Sensors, 23*(14)'
+
+abstract: We present MoReLab, a tool for user-assisted 3D reconstruction. This reconstruction requires an understanding of the shapes of the desired objects. Our experiments demonstrate that existing Structure from Motion (SfM) software packages fail to estimate accurate 3D models in low-quality videos due to several issues such as low resolution, featureless surfaces, low lighting, etc. In such scenarios, which are common for industrial utility companies, user assistance becomes necessary to create reliable 3D models. In our system, the user first needs to add features and correspondences manually on multiple video frames. Then, classic camera calibration and bundle adjustment are applied. At this point, MoReLab provides several primitive shape tools such as rectangles, cylinders, curved cylinders, etc., to model different parts of the scene and export 3D meshes. These shapes are essential for modeling industrial equipment whose videos are typically captured by utility companies with old video cameras (low resolution, compression artifacts, etc.) and in disadvantageous lighting conditions (low lighting, torchlight attached to the video camera, etc.). We evaluate our tool on real industrial case scenarios and compare it against existing approaches. Visual comparisons and quantitative results show that MoReLab achieves superior results with regard to other user-interactive 3D modeling tools.
+
+# Summary. An optional shortened abstract.
+summary: A software for user-assisted 3D reconstruction.
+
+tags:
+  - Source Themes
+featured: false
+
+# links:
+# - name: ""
+url_pdf: https://www.mdpi.com/1424-8220/23/14/6456
+
+
+# Featured image
+# To use, add an image named `featured.jpg/png` to your page's folder.
+image:
+  caption: 'Graphical User Interface of MoReLab'
+  focal_point: ''
+  preview_only: false
+
+---
+
+The source code for MoReLab can be found on our [Github repository](https://github.com/cnr-isti-vclab/MoReLab).