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Sam, DB and Agarwalla, A and Radhakrishnan, VB (2022) Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. In: 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 22 February - 1 March 2022, Virtual, Online, pp. 2162-2170.
Kundu, JN and Lakkakula, N and Radhakrishnan, VB (2019) UM-adapt: Unsupervised multi-task adaptation using adversarial cross-task distillation. In: 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019, 27 Oct-2 Nov. 2019, South Korea, pp. 1436-1445.
Kundu, JN and Gor, M and Agrawal, D and Radhakrishnan, VB (2019) GAN-tree: An incrementally learned hierarchical generative framework for multi-modal data distributions. In: International Conference on Computer Vision, 27 Oct-2 Nov 2019, Seoul South Korea, pp. 8190-8199.
Sawant, Y and Kundu, JN and Radhakrishnan, VB and Sridharan, D (2022) A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection. In: Journal of Neuroscience, 42 (44). pp. 8262-8283.
Kathirvel, RP and Agrawal, S and Radhakrishnan, VB (2021) Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. In: IEEE Transactions on Computational Imaging, 7 . pp. 1228-1239.
