Research output per year
Research output per year
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Dive into the research topics where Ramanathan Subramanian is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Outlier-based Autism Detection using Longitudinal Structural MRI
Devika, K., Mahapatra, D., Subramanian, R. & Oruganti, V. R. M., 2022, In: IEEE Access. 10, p. 27794-27808 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
FakeBuster: A deepfakes detection tool for video conferencing scenarios
Mehta, V., Gupta, P., Subramanian, R. & Dhall, A., 14 Apr 2021, 26th International Conference on Intelligent User Interfaces, IUI 2021 Companion. Verbert, K. & Parra, D. (eds.). United States: Association for Computing Machinery (ACM), p. 61-63 3 p. 3450726. (International Conference on Intelligent User Interfaces, Proceedings IUI).Research output: A Conference proceeding or a Chapter in Book › Other chapter contribution › peer-review
Open Access2 Citations (Scopus) -
Head Matters: Explainable Human-centered Trait Prediction from Head Motion Dynamics
Madan, S., Gahalawat, M., Guha, T. & Subramanian, R., 18 Oct 2021, ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction. Hammal, Z., Busso, C., Pelachaud, C., Oviatt, S., Salah, A. A. & Zhao, G. (eds.). United States: Association for Computing Machinery (ACM), p. 435-443 9 p. (ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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This Explains That: Congruent Image–Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks
Pandey, A., Paliwal, B., Dhall, A., Subramanian, R. & Mahapatra, D., 2021, Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Proceedings. Reyes, M., Henriques Abreu, P., Cardoso, J., Hajij, M., Zamzmi, G., Rahul, P. & Thakur, L. (eds.). Netherlands: Springer, p. 34-43 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12929 LNCS).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
Jain, S., Yarlagadda, P., Jyoti, S., Karthik, S., Subramanian, R. & Gandhi, V., 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. Přeučil, L. & Babuška, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3520-3527 8 p. (IEEE International Conference on Intelligent Robots and Systems).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
Open Access