Chaithanya Kumar Mummadi

Orcid: 0000-0002-1173-2720

According to our database1, Chaithanya Kumar Mummadi authored at least 24 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Federated Text-driven Prompt Generation for Vision-Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches.
Trans. Mach. Learn. Res., 2023

Text-driven Prompt Generation for Vision-Language Models in Federated Learning.
CoRR, 2023

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models.
CoRR, 2023

Zero-Shot Visual Classification with Guided Cropping.
CoRR, 2023

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes.
CoRR, 2023

Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches.
CoRR, 2023

2022
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-attribute Open Set Recognition.
Proceedings of the Pattern Recognition, 2022

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation.
CoRR, 2021

Does enhanced shape bias improve neural network robustness to common corruptions?
Proceedings of the 9th International Conference on Learning Representations, 2021

DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
SELF: Learning to Filter Noisy Labels with Self-Ensembling.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision.
CoRR, 2019

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization.
CoRR, 2019

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Defending Against Universal Perturbations With Shared Adversarial Training.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Group Pruning Using a Bounded-ℓ<sub>p</sub> Norm for Group Gating and Regularization.
Proceedings of the Pattern Recognition, 2019

2018
Real-Time and Embedded Detection of Hand Gestures with an IMU-Based Glove.
Informatics, 2018

2017
Real-time Embedded Recognition of Sign Language Alphabet Fingerspelling in an IMU-Based Glove.
Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction, 2017

Adversarial Examples for Semantic Image Segmentation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Universal Adversarial Perturbations Against Semantic Image Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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