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Muhammad Salman Ali

3 accepted papers

2026

HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

CVPR 2026

Understanding the fine-grained articulation of human hands is critical in high-stakes settings such as robot-assisted surgery, chip manufacturing, and AR/VR-based human-AI interaction. Despite achieving near-human performance on general vision-language benchmarks, current vision-language models (VLM

Cited by 0SourceScholar
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