most citedTowards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis

Teng Hu, Ran Yi, Baihong Qian +3

SVG (Scalable Vector Graphics) is a widely used graphics format that possesses excellent scalability and editability. Image vectorization, which aims to convert raster images to SV…

cs.CV2024

Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning

Wanli Ma, Oktay Karakus, Paul L. Rosin

The advancement of knowledge distillation has played a crucial role in enabling the transfer of knowledge from larger teacher models to smaller and more efficient student models, a…

cs.CV2024

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment

Yuanbang Liang, Bhavesh Garg, Paul L Rosin +1

In this paper, we propose Image Downscaling Assessment by Rate-Distortion (IDA-RD), a novel measure to quantitatively evaluate image downscaling algorithms. In contrast to image-ba…

cs.CV2023

Confidence-Guided Semi-supervised Learning in Land Cover Classification

Wanli Ma, Oktay Karakus, Paul L. Rosin

Semi-supervised learning has been well developed to help reduce the cost of manual labelling by exploiting a large quantity of unlabelled data. Especially in the application of lan…

cs.CV20232 cited

Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method

Ran Yi, Haoyuan Tian, Zhihao Gu +2

Image aesthetics assessment (IAA) is a challenging task due to its highly subjective nature. Most of the current studies rely on large-scale datasets (e.g., AVA and AADB) to learn…