Preprints
Sugandhika, C., Li, C., Rajan, D. and Fernando, B., 2025. Know-Show: Benchmarking Video-Language Models on Spatio-Temporal Grounded Reasoning. arXiv preprint arXiv:2512.05513.
Sugandhika, C., Li, C., Rajan, D. and Fernando, B., 2025. VOST-SGG: VLM-Aided One-Stage Spatio-Temporal Scene Graph Generation. arXiv preprint arXiv:2512.05524.
Refereed Conference Papers
Li*, C., Sugandhika*, C., Ee, Y.K., Peh, E., Zhang, H., Yang, H., Rajan, D. and Fernando, B., 2025. IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 12987-12996). * Equal contribution
Sugandhika, C., Li, C., Rajan, D. and Fernando, B., 2025, February. Situational Scene Graph for Structured Human-Centric Situation Understanding. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 9215-9225). IEEE.
Sugandhika, C., Ahangama, S. and Ahangama, S., 2021, December. Modelling Wikipedia’s information quality using informativeness, reliability and authority. In 2021 3rd International Conference on Advancements in Computing (ICAC) (pp. 169-174). IEEE.
Sugandhika, C. and Ahangama, S., 2021, December. Heuristics-based SQL query generation engine. In 2021 6th International Conference on Information Technology Research (ICITR) (pp. 1-7). IEEE.
Hettiarachchi, S.*, Sugandhika, C.*, Kathriarachchi*, A., Ahangama, S. and Weerasuriya, G.T., 2019, December. A Scenario-based ER diagram and query generation engine. In 2019 4th International Conference on Information Technology Research (ICITR) (pp. 1-5). IEEE.
* Equal contribution
Refereed Journal Papers
Sugandhika, C. and Ahangama, S., 2022. Assessing information quality of wikipedia articles through google’s eat model. Ieee Access, 10, pp.52196-52209.
Abstracts
Sugandhika, C. and Ahangama, S., 2021. Assessing the Information Quality of Wikipedia Articles Using Web Presence. In 2021 International Conference on Innovation and Emerging Technologies (ICIET).