no code implementations • 2 Aug 2022 • Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi
Learning a latent embedding to understand the underlying nature of data distribution is often formulated in Euclidean spaces with zero curvature.
1 code implementation • 31 May 2022 • Junlin Han, Lars Petersson, Hongdong Li, Ian Reid
We present a simple method, CropMix, for the purpose of producing a rich input distribution from the original dataset distribution.
no code implementations • 23 Mar 2022 • Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson
In this paper, we present and study a new image segmentation task, called Generalized Open-set Semantic Segmentation (GOSS).
1 code implementation • 28 Jan 2022 • Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian Reid, Lars Petersson, Hongdong Li
We present You Only Cut Once (YOCO) for performing data augmentations.
1 code implementation • 25 Aug 2021 • Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components involved in mixing as well as the mixing mechanism are unknown.
1 code implementation • 20 Jun 2021 • Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
There are 2000 reference restored images and 6003 original underwater images in the unpaired training set.
3 code implementations • 15 Apr 2021 • Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data.
1 code implementation • 17 Mar 2021 • Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
Underwater image restoration attracts significant attention due to its importance in unveiling the underwater world.