activity
20182025
most citedSlum Segmentation and Change Detection : A Deep Learning Approach

21 citations · 39 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2025

SIEDD: Shared-Implicit Encoder with Discrete Decoders

Vikram Rangarajan, Shishira Maiya, Max Ehrlich +1

Implicit Neural Representations (INRs) offer exceptional fidelity for video compression by learning per-video optimized functions, but their adoption is crippled by impractically s…

cs.CV2024

LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation

Archana Swaminathan, Anubhav Gupta, Kamal Gupta +3

Neural Radiance Fields (NeRFs) have revolutionized the reconstruction of static scenes and objects in 3D, offering unprecedented quality. However, extending NeRFs to model dynamic…

cs.CV2024

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics

Shishira R Maiya, Anubhav Gupta, Matthew Gwilliam +2

Implicit Neural Networks (INRs) have emerged as powerful representations to encode all forms of data, including images, videos, audios, and scenes. With video, many INRs for video…

cs.CV2024

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions

Namitha Padmanabhan, Matthew Gwilliam, Pulkit Kumar +3

The many variations of Implicit Neural Representations (INRs), where a neural network is trained as a continuous representation of a signal, have tremendous practical utility for d…

cs.CV2022★ 4 cited

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling

Shishira R Maiya, Sharath Girish, Max Ehrlich +6

Implicit Neural Representations (INR) have recently shown to be powerful tool for high-quality video compression. However, existing works are limiting as they do not explicitly exp…

cs.CV2021★ 2 cited

A Frequency Perspective of Adversarial Robustness

Shishira R Maiya, Max Ehrlich, Vatsal Agarwal +3

Adversarial examples pose a unique challenge for deep learning systems. Despite recent advances in both attacks and defenses, there is still a lack of clarity and consensus in the…

cs.LG2021

Membership Inference Attacks on Lottery Ticket Networks

Aadesh Bagmar, Shishira R Maiya, Shruti Bidwalka +1

The vulnerability of the Lottery Ticket Hypothesis has not been studied from the purview of Membership Inference Attacks. Through this work, we are the first to empirically show th…

cs.CV2020

The Lottery Ticket Hypothesis for Object Recognition

Sharath Girish, Shishira R. Maiya, Kamal Gupta +3

Recognition tasks, such as object recognition and keypoint estimation, have seen widespread adoption in recent years. Most state-of-the-art methods for these tasks use deep network…

cs.CV2018★ 12 cited

Relation Networks for Optic Disc and Fovea Localization in Retinal Images

Sudharshan Chandra Babu, Shishira R Maiya, Sivasankar Elango

Diabetic Retinopathy is the leading cause of blindness in the world. At least 90\% of new cases can be reduced with proper treatment and monitoring of the eyes. However, scanning t…

cs.CV2018★ 21 cited

Slum Segmentation and Change Detection : A Deep Learning Approach

Shishira R Maiya, Sudharshan Chandra Babu

More than one billion people live in slums around the world. In some developing countries, slum residents make up for more than half of the population and lack reliable sanitation…