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ORCIDKowshik Thopalli
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Journal Articles
- 2023
[j3]Kowshik Thopalli
, Rushil Anirudh, Pavan K. Turaga, Jayaraman J. Thiagarajan:
The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation. IEEE Access 11: 12858-12869 (2023)- [j2]S. Devi, Kowshik Thopalli, R. Dayana, P. Malarvezhi, Jayaraman J. Thiagarajan:
Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design. IEEE Access 11: 108356-108364 (2023) - 2022
- [j1]Kowshik Thopalli, Jayaraman J. Thiagarajan:
Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection. Int. J. Pattern Recognit. Artif. Intell. 36(9): 2250034:1-2250034:23 (2022)
Conference and Workshop Papers
- 2024
- [c8]Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan:
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. ECCV (79) 2024: 465-482 - 2023
- [c7]Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP 2023: 1-5 - [c6]Kowshik Thopalli, Devi S, Jayaraman J. Thiagarajan:
InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection. ICCV (Workshops) 2023: 253-261 - [c5]Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML 2023: 34105-34119 - 2022
- [c4]Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Domain Alignment Meets Fully Test-Time Adaptation. ACML 2022: 1006-1021 - 2021
- [c3]Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation. ICRA 2021: 13223-13230 - 2019
- [c2]Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga:
Multiple Subspace Alignment Improves Domain Adaptation. ICASSP 2019: 3552-3556 - 2018
- [c1]Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) 2018: 638-659
Informal and Other Publications
- 2024
- [i15]Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan:
On the Use of Anchoring for Training Vision Models. CoRR abs/2406.00529 (2024) - [i14]Yang Liu, Kowshik Thopalli, Jayaraman J. Thiagarajan:
Speeding Up Image Classifiers with Little Companions. CoRR abs/2406.17117 (2024) - [i13]Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan:
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. CoRR abs/2408.00331 (2024) - [i12]Banooqa H. Banday, Kowshik Thopalli, Tanzima Z. Islam, Jayaraman J. Thiagarajan:
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation. CoRR abs/2409.03946 (2024) - 2023
- [i11]Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR abs/2305.13284 (2023) - 2022
- [i10]Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. CoRR abs/2201.01806 (2022) - [i9]Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Domain Alignment Meets Fully Test-Time Adaptation. CoRR abs/2207.04185 (2022) - [i8]Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR abs/2210.16692 (2022) - 2021
- [i7]Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation. CoRR abs/2103.11374 (2021) - [i6]Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Improving Multi-Domain Generalization through Domain Re-labeling. CoRR abs/2112.09802 (2021) - 2020
- [i5]Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri:
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration. CoRR abs/2002.03875 (2020) - 2019
- [i4]Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. CoRR abs/1906.04338 (2019) - [i3]Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR abs/1911.10600 (2019) - 2018
- [i2]Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. CoRR abs/1807.10400 (2018) - [i1]Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga:
Multiple Subspace Alignment Improves Domain Adaptation. CoRR abs/1811.04491 (2018)
Coauthor Index
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