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20212026
most citedAudiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

DensFiLM: Density-Conditioned Video Saliency for Crowd Scenes

Anis Ur Rahman

Video saliency models typically apply a single fixation strategy across crowd scenes, despite systematic changes in attention with crowd density. Sparse scenes encourage tracking i…

cs.CV2026

Cross-Domain Dead Tree Detection via Knowledge Distillation in Aerial Imagery

Anis Ur Rahman, Mete Ahishali, Einari Heinaro +1

Detecting dead trees in aerial imagery is vital for assessing forest health, especially as tree mortality increases globally due to climate change, but domain variability and scarc…

cs.CV2022

Deep dual stream residual network with contextual attention for pansharpening of remote sensing images

Syeda Roshana Ali, Anis Ur Rahman, Muhammad Shahzad

Pansharpening enhances spatial details of high spectral resolution multispectral images using features of high spatial resolution panchromatic image. There are a number of traditio…

cs.CY2021

CVEH: A Dynamic Framework To Profile Vehicle Movements To Mitigate Hit And Run Cases Using Crowdsourcing

Attiq ur Rehman, Asad Waqar Malik, Anis ur Rahman +2

In developed countries like the USA, Germany, and the UK, the security forces used highly sophisticated equipment, fast vehicles, drones, and helicopters to catch offenders' vehicl…

eess.IV2021★ 1 cited

Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation

Maryam Qamar Butt, Anis Ur Rahman

Substantial research has been done in saliency modeling to develop intelligent machines that can perceive and interpret their surroundings. But existing models treat videos as mere…