Kowshik Thopalli
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Maast: Map attention with semantic transformers for efficient visual navigation
Z Seymour, K Thopalli, N Mithun, HP Chiu, S Samarasekera, R Kumar
2021 IEEE International Conference on Robotics and Automation (ICRA), 13223 …, 2021
Training calibration-based counterfactual explainers for deep learning models in medical image analysis
JJ Thiagarajan, K Thopalli, D Rajan, P Turaga
Scientific reports 12 (1), 597, 2022
Perturbation robust representations of topological persistence diagrams
A Som, K Thopalli, KN Ramamurthy, V Venkataraman, A Shukla, ...
Proceedings of the European Conference on Computer Vision (ECCV), 617-635, 2018
Multiple subspace alignment improves domain adaptation
K Thopalli, R Anirudh, JJ Thiagarajan, P Turaga
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Invenio: Discovering hidden relationships between tasks/domains using structured meta learning
S Katoch, K Thopalli, JJ Thiagarajan, P Turaga, A Spanias
arXiv preprint arXiv:1911.10600, 2019
Calibrate and prune: Improving reliability of lottery tickets through prediction calibration
B Venkatesh, JJ Thiagarajan, K Thopalli, P Sattigeri
arXiv preprint arXiv:2002.03875, 2020
Automated movement assessment in stroke rehabilitation
T Ahmed, K Thopalli, T Rikakis, P Turaga, A Kelliher, JB Huang, SL Wolf
Frontiers in Neurology 12, 720650, 2021
Multi-domain ensembles for domain generalization
K Thopalli, S Katoch, JJ Thiagarajan, PK Turaga, A Spanias
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
Domain alignment meets fully test-time adaptation
K Thopalli, P Turaga, JJ Thiagarajan
Asian Conference on Machine Learning, 1006-1021, 2023
Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection
S Devi, K Thopalli, P Malarvezhi, JJ Thiagarajan
International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022
Improving multi-domain generalization through domain re-labeling
K Thopalli, S Katoch, A Spanias, P Turaga, JJ Thiagarajan
arXiv preprint arXiv:2112.09802 2, 2021
Salt: Subspace alignment as an auxiliary learning task for domain adaptation
K Thopalli, JJ Thiagarajan, R Anirudh, P Turaga
arXiv preprint arXiv:1906.04338, 2019
Geometric alignment improves fully test timeadaptation
K Thopalli, P Turaga, JJ Thiagarajan
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022
Single-Shot Domain Adaptation via Target-Aware Generative Augmentations
R Subramanyam, K Thopalli, S Berman, P Turaga, JJ Thiagarajan
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation
K Thopalli, R Subramanyam, P Turaga, JJ Thiagarajan
arXiv preprint arXiv:2305.13284, 2023
The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation
K Thopalli, R Anirudh, P Turaga, JJ Thiagarajan
IEEE Access 11, 12858-12869, 2023
A Hierarchical Bayesian Model for Cyber-Human Assessment of Rehabilitation Movement
T Ahmed, T Rikakis, S Zilevu, A Kelliher, K Thopalli, P Turaga, SL Wolf
medRxiv, 2022.05. 25.22275480, 2022
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
K Thopalli, JJ Thiagarajan, R Anirudh, PK Turaga
arXiv preprint arXiv:2201.01806, 2022
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization
K Thopalli, S Katoch, P Turaga, JJ Thiagarajan
arXiv preprint arXiv:2112.09802, 2021
InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection
K Thopalli, S DEVI, JJ Thiagarajan
4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop, 2023
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