Moonisa Ahsan

Moonisa Ahsan is a Marie Curie Early Stage Researcher in the Visual Computing (ViC) group at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4). She holds a bachelor degree in information technology from the University of Gujrat (Pakistan), and a masters degree in information technology from the University of Lahore (Pakistan). She is awarded a fellowship (2019-2022) from the EVOCATION innovative training network.

Contact

moonisacrs4.it

Projects

EVOCATION: Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication Funded by EU H2020 under contract H2020-MSCA-ITN-813170

Journal Articles

	[1] Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti. Audio-visual Annotation Graphs for Guiding Lens-based Scene Exploration. Computers & Graphics, 2022. DOI: 10.1016/j.cag.2022.05.003. To appear (currently available online).
	[2] Fabio Bettio, Moonisa Ahsan, Fabio Marton, and Enrico Gobbetti. A novel approach for exploring annotated data with interactive lenses. Computer Graphics Forum, 40(3): 387-398, 2021. DOI: 10.1111/cgf.14315. Proc. EUROVIS 2021.
	[3] Alberto Jaspe Villanueva, Moonisa Ahsan, Ruggero Pintus, Andrea Giachetti, and Enrico Gobbetti. Web-based Exploration of Annotated Multi-Layered Relightable Image Models. ACM Journal on Computing and Cultural Heritage, 14(2): 24:1-24:31, May 2021. DOI: 10.1145/3430846.

Conference Papers

	[1] Ruggero Pintus, Moonisa Ahsan, Fabio Marton, and Enrico Gobbetti. Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs. In The 19th Eurographics Workshop on Graphics and Cultural Heritage, November 2021. DOI: 10.2312/gch.20211412. Best paper award at GCH 2021.
	[2] Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti. Guiding Lens-based Exploration using Annotation Graphs. In Proc. Smart Tools and Applications in Graphics (STAG). Pages 85-90, October 2021. DOI: 10.2312/stag.20211477. Honorable mention in best paper award category at STAG 2021.