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Mummadi, Chaithanya Kumar
12 publications
TMLR
2024
AutoCLIP: Auto-Tuning Zero-Shot Classifiers for Vision-Language Models
Jan Hendrik Metzen
,
Piyapat Saranrittichai
,
Chaithanya Kumar Mummadi
ICLR
2024
Federated Text-Driven Prompt Generation for Vision-Language Models
Chen Qiu
,
Xingyu Li
,
Chaithanya Kumar Mummadi
,
Madan Ravi Ganesh
,
Zhenzhen Li
,
Lu Peng
,
Wan-Yi Lin
ICLR
2024
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Bang An
,
Sicheng Zhu
,
Michael-Andrei Panaitescu-Liess
,
Chaithanya Kumar Mummadi
,
Furong Huang
ICMLW
2023
More Context, Less Distraction: Improving Zero-Shot Inference of CLIP by Inferring and Describing Spurious Features
Bang An
,
Sicheng Zhu
,
Michael-Andrei Panaitescu-Liess
,
Chaithanya Kumar Mummadi
,
Furong Huang
TMLR
2023
Revisiting Image Classifier Training for Improved Certified Robust Defense Against Adversarial Patches
Aniruddha Saha
,
Shuhua Yu
,
Mohammad Sadegh Norouzzadeh
,
Wan-Yi Lin
,
Chaithanya Kumar Mummadi
NeurIPSW
2023
Text-Driven Prompt Generation for Vision-Language Models in Federated Learning
Chen Qiu
,
Xingyu Li
,
Chaithanya Kumar Mummadi
,
Madan Ravi Ganesh
,
Zhenzhen Li
,
Lu Peng
,
Wan-Yi Lin
CVPR
2022
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
Giulio Lovisotto
,
Nicole Finnie
,
Mauricio Munoz
,
Chaithanya Kumar Mummadi
,
Jan Hendrik Metzen
ECCV
2022
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain
Piyapat Saranrittichai
,
Chaithanya Kumar Mummadi
,
Claudia Blaiotta
,
Mauricio Munoz
,
Volker Fischer
ICCV
2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Elias Eulig
,
Piyapat Saranrittichai
,
Chaithanya Kumar Mummadi
,
Kilian Rambach
,
William Beluch
,
Xiahan Shi
,
Volker Fischer
ICLR
2021
Does Enhanced Shape Bias Improve Neural Network Robustness to Common Corruptions?
Chaithanya Kumar Mummadi
,
Ranjitha Subramaniam
,
Robin Hutmacher
,
Julien Vitay
,
Volker Fischer
,
Jan Hendrik Metzen
ICLR
2020
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Duc Tam Nguyen
,
Chaithanya Kumar Mummadi
,
Thi Phuong Nhung Ngo
,
Thi Hoai Phuong Nguyen
,
Laura Beggel
,
Thomas Brox
NeurIPS
2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-Supervision
Tam Nguyen
,
Maximilian Dax
,
Chaithanya Kumar Mummadi
,
Nhung Ngo
,
Thi Hoai Phuong Nguyen
,
Zhongyu Lou
,
Thomas Brox