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20162023
most citedUC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

35 citations · 96 across the 20 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Asynchronous Spatial Image Convolutions for Event Cameras

Cedric Scheerlinck, Nick Barnes, Robert Mahony

Spatial convolution is arguably the most fundamental of 2D image processing operations. Conventional spatial image convolution can only be applied to a conventional image, that is,…

cs.CV2018

From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts

Moshiur R Farazi, Salman H Khan, Nick Barnes

Current Visual Question Answering (VQA) systems can answer intelligent questions about `Known' visual content. However, their performance drops significantly when questions about v…

cs.CV2018

Polarity Loss for Zero-shot Object Detection

Shafin Rahman, Salman Khan, Nick Barnes

Conventional object detection models require large amounts of training data. In comparison, humans can recognize previously unseen objects by merely knowing their semantic descript…

cs.CV2018

Continuous-time Intensity Estimation Using Event Cameras

Cedric Scheerlinck, Nick Barnes, Robert Mahony

Event cameras provide asynchronous, data-driven measurements of local temporal contrast over a large dynamic range with extremely high temporal resolution. Conventional cameras cap…

cs.CV2018

Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation

Salman H. Khan, Munawar Hayat, Nick Barnes

Variational auto-encoders (VAEs) provide an attractive solution to image generation problem. However, they tend to produce blurred and over-smoothed images due to their dependence…