← Search

Maryam Qamar

2 accepted papers

2026

I-INR: Iterative Implicit Neural Representations

AAAI 2026technical

Implicit Neural Representations (INRs) have revolutionized signal processing and computer vision by modeling signals as continuous, differentiable functions parameterized by neural networks. However, INRs are prone to the spectral bias problem, limiting their ability to retain high-frequency informa

Cited by 0SourcePDFScholar
2023

Towards Efficient Image Compression Without Autoregressive Models

NeurIPS 2023poster

Recently, learned image compression (LIC) has garnered increasing interest with its rapidly improving performance surpassing conventional codecs. A key ingredient of LIC is a hyperprior-based entropy model, where the underlying joint probability of the latent image features is modeled as a product o…

Cited by 13SourcePDFScholar