User centric Requirements for Enhancing XR Use Cases with Machine Learning Capabilities. Lee, S.; Ahsan, M.; Viola, I.; and César, P. In IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025 - Abstracts and Workshops, Saint Malo, France, March 8-12, 2025, pages 753–757, 2025. IEEE
Enhancing the Audience Experience for VR and AR Theatre with AI-generated Subtitles. Viola, I.; Ahsan, M.; Chatzifoti, O.; Yonkov, A.; Oikonomou, E.; Radin, I.; Maka, P.; Issam, A.; and César, P. In Batmaz, A. U.; Machuca, M. D. B.; Ortega, F.; Zielasko, D.; Kim, K.; Skarbez, R.; Plabst, L.; Banic, A.; and Stroppa, M., editor(s), Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology, VRST 2025, Montreal, QC, Canada, November 12-14, 2025, pages 71:1–71:11, 2025. ACM
VRD: A multi-lingual translation and Ai-Assisted Navigation experience for VR Conference Application. Ahsan, M.; Viola, I.; Toledo, M.; Kontopoulos, D.; and César, P. In Batmaz, A. U.; Machuca, M. D. B.; Ortega, F.; Zielasko, D.; Kim, K.; Skarbez, R.; Plabst, L.; Banic, A.; and Stroppa, M., editor(s), Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology, VRST 2025, Montreal, QC, Canada, November 12-14, 2025, pages 135:1–135:3, 2025. ACM
LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants. Huang, H.; Pei, J.; Aliannejadi, M.; Sun, X.; Ahsan, M.; Yu, C.; Ren, Z.; César, P.; and Wang, J. CoRR, abs/2507.05515. 2025.
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. Pei, J.; Viola, I.; Huang, H.; Wang, J.; Ahsan, M.; Ye, F.; Jiang, Y.; Sai, Y.; Wang, D.; Chen, Z.; Ren, P.; and César, P. In Ku, L.; Martins, A.; and Srikumar, V., editor(s), Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, volume ACL 2024, of Findings of ACL, pages 4051–4066, 2024. Association for Computational Linguistics
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. Pei, J.; Viola, I.; Huang, H.; Wang, J.; Ahsan, M.; Ye, F.; Jiang, Y.; Sai, Y.; Wang, D.; Chen, Z.; Ren, P.; and César, P. CoRR, abs/2405.13034. 2024.
VOXReality: Voice-driven Interactions in XR Spaces. Ahsan, M.; Viola, I.; and César, P. ERCIM News, 2024(137). 2024.
[THESIS] Scalable Exploration of Complex Objects and Environments Beyond Plain Visual Replication. Ahsan, M. Ph.D. Thesis, University of Cagliari, Italy, 2023.
Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image Collections. Pintus, R.; Ahsan, M.; Zorcolo, A.; Bettio, F.; Marton, F.; and Gobbetti, E. ACM Journal on Computing and Cultural Heritage, 16(2): 39:1–39:31. 2023.
Audio-visual annotation graphs for guiding lens-based scene exploration. Ahsan, M.; Marton, F.; Pintus, R.; and Gobbetti, E. Comput. Graph., 105: 131–145. 2022.
Ebb & Flow: Uncovering Costantino Nivola's Olivetti Sandcast through 3D Fabrication and Virtual Exploration. Ahsan, M.; Altea, G.; Bettio, F.; Callieri, M.; Camarda, A.; Cignoni, P.; Gobbetti, E.; Ledda, P.; Lutzu, A.; Marton, F.; Mignemi, G.; and Ponchio, F. In Ponchio, F.; and Pintus, R., editor(s), Eurographics Workshop on Graphics and Cultural Heritage, GCH 2022, Delft, The Netherlands, September 28-30, 2022, pages 85–94, 2022. Eurographics Association
A novel approach for exploring annotated data with interactive lenses. Bettio, F.; Ahsan, M.; Marton, F.; and Gobbetti, E. Comput. Graph. Forum, 40(3): 387–398. 2021.
Web-based Exploration of Annotated Multi-Layered Relightable Image Models. Jaspe-Villanueva, A.; Ahsan, M.; Pintus, R.; Giachetti, A.; Marton, F.; and Gobbetti, E. ACM Journal on Computing and Cultural Heritage, 14(2): 24:1–24:29. 2021.
Guiding Lens-based Exploration using Annotation Graphs. Ahsan, M.; Marton, F.; Pintus, R.; and Gobbetti, E. In Frosini, P.; Giorgi, D.; Melzi, S.; and Rodolà, E., editor(s), Italian Chapter Conference 2021 - Smart Tools and Apps in Graphics, Virtual Event, Italy, October 28-29, 2021, pages 85–90, 2021. Eurographics Association
Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs. Pintus, R.; Ahsan, M.; Marton, F.; and Gobbetti, E. In Hulusic, V.; and Chalmers, A., editor(s), Eurographics Workshop on Graphics and Cultural Heritage, GCH 2021, Bournemouth, UK, November 4-6, 2021, pages 103–112, 2021. Eurographics Association