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Anirban Roy

Detecting out-of-context objects using contextual cues


Feb 11, 2022
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran

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iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection


Jan 07, 2022
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

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* Association for the Advancement of Artificial Intelligence (AAAI), 2022 
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Detecting OODs as datapoints with High Uncertainty


Aug 13, 2021
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee

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* Presented at the ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning 
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Online Defense of Trojaned Models using Misattributions


Mar 29, 2021
Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha

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Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs


Mar 23, 2021
Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee

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Detecting Trojaned DNNs Using Counterfactual Attributions


Dec 03, 2020
Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran

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Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment


Mar 27, 2019
Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran

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Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention


Jul 04, 2018
Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran

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* Accepted at CVPR 2018 workshop- Towards Automatic Understanding of Visual Advertisements 
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