Universal Adversarial Perturbations Against Semantic Image Segmentation. - Jan Hendrik Metzen; Mummadi Chaithanya Kumar; Thomas Brox; Volker Fischer 003 (ICCV, 2017)

Adversarial Examples for Semantic Image Segmentation. - Volker Fischer 003; Mummadi Chaithanya Kumar; Jan Hendrik Metzen; Thomas Brox (ICLR (Workshop), 2017)

Real-time Embedded Recognition of Sign Language Alphabet Fingerspelling in an IMU-Based Glove. - Chaithanya Kumar Mummadi; Frederic Philips Peter Leo; Keshav Deep Verma; Shivaji Kasireddy; Philipp M. Scholl; Kristof Van Laerhoven (iWOAR, 2017)

Real-Time and Embedded Detection of Hand Gestures with an IMU-Based Glove. - Chaithanya Kumar Mummadi; Frederic Philips Peter Leo; Keshav Deep Verma; Shivaji Kasireddy; Philipp M. Scholl; Jochen Kempfle; Kristof Van Laerhoven (Informatics, 2018)

Group Pruning Using a Bounded-ℓp Norm for Group Gating and Regularization. - Chaithanya Kumar Mummadi; Tim Genewein; Dan Zhang 003; Thomas Brox; Volker Fischer 003 (GCPR, 2019)

Defending Against Universal Perturbations With Shared Adversarial Training. - Chaithanya Kumar Mummadi; Thomas Brox; Jan Hendrik Metzen (ICCV, 2019)

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision. - Duc Tam Nguyen; Maximilian Dax; Chaithanya Kumar Mummadi; Thi-Phuong-Nhung Ngo; Thi Hoai Phuong Nguyen; Zhongyu Lou; Thomas Brox (NeurIPS, 2019)

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization. - Chaithanya Kumar Mummadi; Tim Genewein; Dan Zhang 003; Thomas Brox; Volker Fischer 003 (CoRR, 2019)

DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision. - Duc Tam Nguyen; Maximilian Dax; Chaithanya Kumar Mummadi; Thi-Phuong-Nhung Ngo; Thi Hoai Phuong Nguyen; Zhongyu Lou; Thomas Brox (CoRR, 2019)

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 (ICLR, 2020)

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 003 (ICCV, 2021)

Does enhanced shape bias improve neural network robustness to common corruptions? - Chaithanya Kumar Mummadi; Ranjitha Subramaniam; Robin Hutmacher; Julien Vitay; Volker Fischer 003; Jan Hendrik Metzen (ICLR, 2021)

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. - Chaithanya Kumar Mummadi; Robin Hutmacher; Kilian Rambach; Evgeny Levinkov; Thomas Brox; Jan Hendrik Metzen (CoRR, 2021)

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 (CVPR, 2022)

Multi-attribute Open Set Recognition. - Piyapat Saranrittichai; Chaithanya Kumar Mummadi; Claudia Blaiotta; Mauricio Munoz; Volker Fischer 003 (GCPR, 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 003 (ECCV (25), 2022)

Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches. - Aniruddha Saha; Shuhua Yu; Arash Norouzzadeh; Wan-Yi Lin; Chaithanya Kumar Mummadi (CoRR, 2023)

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. - Bang An 001; Sicheng Zhu; Michael-Andrei Panaitescu-Liess; Chaithanya Kumar Mummadi; Furong Huang (CoRR, 2023)

Zero-Shot Visual Classification with Guided Cropping. - Piyapat Saranrittichai; Mauricio Munoz; Volker Fischer 003; Chaithanya Kumar Mummadi (CoRR, 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 001; Wan-Yi Lin (CoRR, 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 (Trans. Mach. Learn. Res., 2023)

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. - Bang An 001; Sicheng Zhu; Michael-Andrei Panaitescu-Liess; Chaithanya Kumar Mummadi; Furong Huang (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 001; Wan-Yi Lin (ICLR, 2024)

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. - Jan Hendrik Metzen; Piyapat Saranrittichai; Chaithanya Kumar Mummadi (Trans. Mach. Learn. Res., 2024)

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA. - Divyansh Jhunjhunwala; Arian Raje; Madan Ravi Ganesh; Chaithanya Kumar Mummadi; Chaoqun Dong; Jiawei Zhou; Wan-Yi Lin; Gauri Joshi; Zhenzhen Li (CoRR, 2025)