Publications (20)
Detecting motorcycle helmet use with deep learning
Felix Wilhelm Siebert, Hanhe Lin
The continuous motorization of traffic has led to a sustained increase in the global number of road related fatalities and injuries. To counter this, governments are focusing on en…
Localization of Just Noticeable Difference for Image Compression
Guangan Chen, Hanhe Lin, Oliver Wiedemann +1
The just noticeable difference (JND) is the minimal difference between stimuli that can be detected by a person. The picture-wise just noticeable difference (PJND) for a given refe…
Subjective Image Quality Assessment with Boosted Triplet Comparisons
Hui Men, Hanhe Lin, Mohsen Jenadeleh +1
In subjective full-reference image quality assessment, differences between perceptual image qualities of the reference image and its distorted versions are evaluated, often using d…
Technical Report on Visual Quality Assessment for Frame Interpolation
Hui Men, Hanhe Lin, Vlad Hosu +3
Current benchmarks for optical flow algorithms evaluate the estimation quality by comparing their predicted flow field with the ground truth, and additionally may compare interpola…
Improving Novel view synthesis of 360 Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images
Guangan Chen, Anh Minh Truong, Hanhe Lin +3
Novel view synthesis in 360 scenes from extremely sparse input views is essential for applications like virtual reality and augmented reality. This paper presents a novel f…
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning
Hanhe Lin, Vlad Hosu, Dietmar Saupe
Multi-level deep-features have been driving state-of-the-art methods for aesthetics and image quality assessment (IQA). However, most IQA benchmarks are comprised of artificially d…