266 citations · 493 across the 37 of their papers we have counts for
51 papers · 1 filter
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…
A Hyperspectral and RGB Dataset for Building Facade Segmentation
Nariman Habili, Ernest Kwan, Weihao Li +4
Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications. This work introduces an HSI dataset of building facades in…
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning
Jie Hong, Shi Qiu, Weihao Li +4
Point cloud learning is receiving increasing attention. However, most existing point cloud models lack the practical ability to deal with the unavoidable presence of unknown object…
What Images are More Memorable to Machines?
Junlin Han, Huangying Zhan, Jie Hong +4
This paper studies the problem of measuring and predicting how memorable an image is to pattern recognition machines, as a path to explore machine intelligence. Firstly, we propose…