17 citations · 79 across the 11 of their papers we have counts for
13 papers
HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imaging
Jingchao Peng, Thomas Bashford-Rogers, Francesco Banterle +2
Capturing images with enough details to solve imaging tasks is a long-standing challenge in imaging, particularly due to the limitations of standard dynamic range (SDR) images whic…
Semantic Aware Diffusion Inverse Tone Mapping
Abhishek Goswami, Aru Ranjan Singh, Francesco Banterle +2
The range of real-world scene luminance is larger than the capture capability of many digital camera sensors which leads to details being lost in captured images, most typically in…
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels
Changrui Chen, Jungong Han, Kurt Debattista
Due to the costliness of labelled data in real-world applications, semi-supervised learning, underpinned by pseudo labelling, is an appealing solution. However, handling confusing…
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems
Amir Samadi, Amir Shirian, Konstantinos Koufos +2
A CF explainer identifies the minimum modifications in the input that would alter the model's output to its complement. In other words, a CF explainer computes the minimum modifica…
Semi-supervised Object Detection via Virtual Category Learning
Changrui Chen, Kurt Debattista, Jungong Han
Due to the costliness of labelled data in real-world applications, semi-supervised object detectors, underpinned by pseudo labelling, are appealing. However, handling confusing sam…
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
Francesco Banterle, Demetris Marnerides, Kurt Debattista +1
Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods…