266 citations · 981 across the 59 of their papers we have counts for
5 papers · 1 filter
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +7
The present work discusses the use of a weakly-supervised deep learning algorithm that reduces the cost of labelling pixel-level masks for complex radio galaxies with multiple comp…
Hyperbolic Audio-visual Zero-shot Learning
Jie Hong, Zeeshan Hayder, Junlin Han +3
Audio-visual zero-shot learning aims to classify samples consisting of a pair of corresponding audio and video sequences from classes that are not present during training. An analy…
Automatic Illumination Spectrum Recovery
Nariman Habili, Jeremy Oorloff, Lars Petersson
We develop a deep learning network to estimate the illumination spectrum of hyperspectral images under various lighting conditions. To this end, a dataset, IllumNet, was created. I…
CVB: A Video Dataset of Cattle Visual Behaviors
Ali Zia, Renuka Sharma, Reza Arablouei +7
Existing image/video datasets for cattle behavior recognition are mostly small, lack well-defined labels, or are collected in unrealistic controlled environments. This limits the u…
Topological Deep Learning: A Review of an Emerging Paradigm
Ali Zia, Abdelwahed Khamis, James Nichols +3
Topological data analysis (TDA) provides insight into data shape. The summaries obtained by these methods are principled global descriptions of multi-dimensional data whilst exhibi…