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Aniruddha Adiga

5 accepted papers

2025

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation

IJCAI 2025

Accurate canal network mapping is essential for water management, including irrigation planning and infrastructure maintenance. State-of-the-art semantic segmentation models for infrastructure mapping, such as roads, rely on large, well-annotated remote sensing datasets. However, incomplete or inade

2023

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts

AAAI 2023technical

Despite hundreds of methods published in the literature, forecasting epidemic dynamics remains challenging yet important. The challenges stem from multiple sources, including: the need for timely data, co-evolution of epidemic dynamics with behavioral and immunological adaptations, and the evolution…

Cited by 4SourcePDFScholar
2020

Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network

ICASSP 2020accepted

In speech production, epochs are glottal closure instants where significant energy is released from the lungs. Extracting an epoch accurately is important in speech synthesis, analysis, and pitch oriented studies. The time-varying characteristics of the source and the system, and channel attenuation…

Cited by 0SourceScholar
2019

Nonlinear Multi-scale Super-resolution Using Deep Learning

ICASSP 2019accepted

We propose a deep learning architecture capable of performing up to 8× single image super-resolution. Our architecture incorporates an adversarial component from the super-resolution generative adversarial networks (SRGANs) and a multi-scale learning component from the multiple scale super-resolutio…

Cited by 0SourceScholar
2018

Wavelet-Based Reconstruction for Unlimited Sampling

ICASSP 2018accepted

Self-reset analog-to-digital converters (ADCs) allow for digitization of a signal with a high dynamic range. The reset action is equivalent to a modulo operation performed on the signal. We consider the problem of recovering the original signal from the measured modulo-operated signal. In our formul…

Cited by 0SourceScholar