Kiran Nanjunda Iyer — accepted AI-conference papers

2026

PrivateEyes: Gaze-Preserving Anonymization for Data Sharing

Surabhi Gupta, Dinesh Prabhu Muthumariappan, Biplab Das, Anoop Kolar Rajagopal, Kiran Nanjunda Iyer, Donghwan Seo

CVPR 2026

Eye images captured from wearable devices such as head-mounted displays (HMDs) contain identifiable biometric cues, posing significant challenges for safe data sharing. Existing eye anonymization techniques often degrade downstream performance, particularly gaze estimation while still retaining iris

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2017

Fast human segmentation using color and depth

Raushan Kumar, Rakesh Kumar, Viswanath Gopalakrishnan, Kiran Nanjunda Iyer

ICASSP 2017accepted

Accurate segmentation of humans from live videos is an important problem to be solved in developing immersive video experience. We propose to extract the human segmentation information from color and depth cues in a video using multiple modeling techniques. The prior information from human skeleton…

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2017

Learning rotation invariance in deep hierarchies using circular symmetric filters

Dhruv Kohli, Biplab Chandra Das, Viswanath Gopalakrishnan, Kiran Nanjunda Iyer

ICASSP 2017accepted

Deep hierarchical models for feature learning have emerged as an effective technique for object representation and classification in recent years. Though the features learnt using deep models have shown lot of promise towards achieving invariance to data transformations, this primarily comes at the…

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