Следене
Kowshik Thopalli
Kowshik Thopalli
Потвърден имейл адрес: asu.edu
Заглавие
Позовавания
Позовавания
Година
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
352022
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
232021
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
192018
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
132022
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
132019
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
122020
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
112021
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
112019
Domain alignment meets fully test-time adaptation
K Thopalli, P Turaga, JJ Thiagarajan
Asian Conference on Machine Learning, 1006-1021, 2023
82023
Multi-domain ensembles for domain generalization
K Thopalli, S Katoch, JJ Thiagarajan, P Turaga, A Spanias
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
62021
Target-aware generative augmentations for single-shot adaptation
K Thopalli, R Subramanyam, P Turaga, JJ Thiagarajan
arXiv preprint arXiv:2305.13284, 2023
42023
Improving multi-domain generalization through domain re-labeling
K Thopalli, S Katoch, A Spanias, P Turaga, JJ Thiagarajan
arXiv preprint arXiv:2112.09802, 2021
32021
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
32019
Decider: Leveraging foundation model priors for improved model failure detection and explanation
R Subramanyam, K Thopalli, V Narayanaswamy, JJ Thiagarajan
European Conference on Computer Vision, 465-482, 2025
22025
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
22023
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
22023
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
22022
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
22021
Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design
S Devi, K Thopalli, R Dayana, P Malarvezhi, JJ Thiagarajan
IEEE Access, 2023
12023
InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection
K Thopalli, JJ Thiagarajan
Proceedings of the IEEE/CVF International Conference on Computer Vision, 253-261, 2023
12023
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