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20172026
most citedUnderwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

1k citations · 2k across the 41 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CV2019★ 17 cited

Geometric Back-projection Network for Point Cloud Classification

Shi Qiu, Saeed Anwar, Nick Barnes

As the basic task of point cloud analysis, classification is fundamental but always challenging. To address some unsolved problems of existing methods, we propose a network that ca…

cs.CV2019★ 2 cited

Deep localization of protein structures in fluorescence microscopy images

Muhammad Tahir, Saeed Anwar, Ajmal Mian +1

Accurate localization of proteins from fluorescence microscopy images is challenging due to the inter-class similarities and intra-class disparities introducing grave concerns in a…

eess.IV2019

Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network

Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar +1

This paper introduces a novel method to super-resolve multi-spectral images captured by modern real-time single-shot mosaic image sensors, also known as multi-spectral cameras. Our…

cs.CV2019

Deep Ancient Roman Republican Coin Classification via Feature Fusion and Attention

Hafeez Anwar, Saeed Anwar, Sebastian Zambanini +1

We perform the classification of ancient Roman Republican coins via recognizing their reverse motifs where various objects, faces, scenes, animals, and buildings are minted along w…

cs.CV2019★ 17 cited

Diving Deeper into Underwater Image Enhancement: A Survey

Saeed Anwar, Chongyi Li

The powerful representation capacity of deep learning has made it inevitable for the underwater image enhancement community to employ its potential. The exploration of deep underwa…

eess.IV2019

Densely Residual Laplacian Super-Resolution

Saeed Anwar, Nick Barnes

Super-Resolution convolutional neural networks have recently demonstrated high-quality restoration for single images. However, existing algorithms often require very deep architect…