Chaithanya Kumar Mummadi
10 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6) π Academic Marathon (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
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Century Club
(10)
β
The Questioner
Conferences
ICLR (4)
ICCV (2)
CVPR (1)
ECCV (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
unsupervised learning
(1)
image classification
(1)
shortcut learning
(1)
semantic segmentation
(1)
vision transformer
(1)
adversarial robustness
(1)
domain generalization
(1)
model robustness
(1)
self-supervised learning
(1)
adversarial training
(1)
neural network optimization
(1)
saliency detection
(1)
visual object recognition
(1)
sequential prediction
(1)
adversarial attack
(1)
autoregressive model
(1)
salient object detection
(1)
deep neural network
(1)
pseudo label
(1)
vision-language modeling
(1)
Papers
Visual Self-Refinement for Autoregressive Models
EMNLP 2025
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
ICLR 2024
Federated Text-driven Prompt Generation for Vision-Language Models
ICLR 2024
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
CVPR 2022
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain
ECCV 2022
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
ICCV 2021
Does enhanced shape bias improve neural network robustness to common corruptions?
ICLR 2021
SELF: Learning to Filter Noisy Labels with Self-Ensembling
ICLR 2020
Defending Against Universal Perturbations With Shared Adversarial Training
ICCV 2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
NIPS 2019