Syed Sameed Husain — accepted AI-conference papers

2026

Building Robust Vision Encoders for Cross-Dataset Evaluation in Immunofluorescent Microscopy

Umar Marikkar, Syed Sameed Husain, Muhammad Awais, Sara Atito

CVPR 2026

Immunofluorescence (IF) images reveal detailed information about structures and functions at the subcellular level. However, unlike RGB images, IF datasets pose challenges for deep learning models due to their inconsistencies in channel count and configuration, stemming from varying staining protoco

Cited by 0 Source ↗code ↗Scholar ↗

2025

NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative

Asmar Nadeem, Faegheh Sardari, Robert Dawes, Syed Sameed Husain, Adrian Hilton, Armin Mustafa

ICLR 2025poster

Existing video captioning benchmarks and models lack causal-temporal narrative, which is sequences of events linked through cause and effect, unfolding over time and driven by characters or agents. This lack of narrative restricts models’ ability to generate text descriptions that capture the causal…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗