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Number of items: 18.

Conference Proceedings

Kundu, JN and Kulkarni, A and Singh, A and Jampani, V and Babu, RV (2021) Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. In: 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, 1 - 17 October 2021, Virtual, Online, pp. 7026-7036.

Kundu, JN and Revanur, A and Waghmare, GV and Venkatesh, RM and Babu, RV (2020) Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23-28 August 2020, Glasgow, pp. 35-52.

Conference Paper

Kundu, JN and Bhambri, S and Kulkarni, A and Sarkar, H and Jampani, V and Babu, RV (2022) Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 177-194.

Rakesh, M and Kundu, JN and Jampani, V and Babu, RV (2021) Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021, 6 - 14 December 2021, Virtual, Online, pp. 4582-4593.

Kundu, JN and Rakesh, M and Jampani, V and Venkatesh, RM and Venkatesh Babu, R (2020) Appearance Consensus Driven Self-supervised Human Mesh Recovery. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 794-812.

Kundu, JN and Venkatesh, RM and Venkat, N and Revanur, A and Babu, RV (2020) Class-Incremental Domain Adaptation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 53-69.

Kundu, JN and Seth, S and Jampani, V and Rakesh, M and Venkatesh Babu, R and Chakraborty, A (2020) Self-supervised 3D human pose estimation via part guided novel image synthesis. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14 - 19 June 2020, Virtual, Online, pp. 6151-6161.

Kundu, JN and Seth, S and Rahul, MV and Rakesh, M and Babu, RV and Chakraborty, A (2020) Kinematic-structure-preserved representation for unsupervised 3d human pose estimation. In: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, 7 - 12 February 2020, New York, pp. 11312-11319.

Kundu, JN and Buckchash, H and Mandikal, P and Rahul, MV and Jamkhandi, A and Babu, RV (2020) Cross-conditioned recurrent networks for long-term synthesis of inter-person human motion interactions. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-5 March 2020, Snowmass Village, CO, USA, USA, pp. 2713-2722.

Kundu, JN and Rahul, MV and Patravali, J and Babu, RV (2020) Unsupervised cross-dataset adaptation via probabilistic amodal 3D human pose completion. In: 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, 1 - 5 March 2020, Snowmass Village; United States, pp. 458-467.

Kundu, JN and Singh Rajput, G and Babu, RV (2020) VRT-Net: Real-time scene parsing via variable resolution transform. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-5 March 2020, Snowmass Village, CO, USA, USA, pp. 2038-2045.

Kundu, JN and Venkat, N and Revanur, A and Rahul, MVR and Babu, V (2020) Towards inheritable models for open-set domain adaptation. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, 14 - 19 June 2020, United States, pp. 12373-12382.

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 Venkatesh Babu, R (2019) BiHMP-GAN: Bidirectional 3D human motion prediction GAN. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019, 27 January - 1 February 2019, Honolulu, pp. 8553-8560.

Kundu, JN and Gor, M and Uppala, PK and Babu, RV (2019) Unsupervised feature learning of human actions as trajectories in pose embedding manifold. In: UNSPECIFIED, pp. 1459-1467.

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.

Kundu, JN and Ganeshan, A and Rahul, MV and Prakash, A and Venkatesh Babu, R (2018) ISPA-Net: Iterative semantic pose alignment network. In: 26th ACM Multimedia conference, MM 2018, 22 - 26 October 2018, Seoul, pp. 967-975.

Journal Article

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.

This list was generated on Thu Apr 25 06:43:31 2024 IST.