Kowshik Thopalli

Orcid: 0000-0003-2183-8577

According to our database1, Kowshik Thopalli authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation.
CoRR, 2024

Speeding Up Image Classifiers with Little Companions.
CoRR, 2024

On the Use of Anchoring for Training Vision Models.
CoRR, 2024

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.
IEEE Access, 2023

Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design.
IEEE Access, 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection.
Int. J. Pattern Recognit. Artif. Intell., 2022

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation.
CoRR, 2022

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation.
CoRR, 2022

Domain Alignment Meets Fully Test-Time Adaptation.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Improving Multi-Domain Generalization through Domain Re-labeling.
CoRR, 2021

MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation.
CoRR, 2021

MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration.
CoRR, 2020

2019
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning.
CoRR, 2019

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation.
CoRR, 2019

Multiple Subspace Alignment Improves Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Perturbation Robust Representations of Topological Persistence Diagrams.
Proceedings of the Computer Vision - ECCV 2018, 2018


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