1 code implementation • 21 Dec 2022 • Jingjia Huang, Yuanqi Chen, Jiashi Feng, Xinglong Wu
Semi-supervised learning based methods are current SOTA solutions to the noisy-label learning problem, which rely on learning an unsupervised label cleaner first to divide the training samples into a labeled set for clean data and an unlabeled set for noise data.
Ranked #3 on Image Classification on Clothing1M (using extra training data)
1 code implementation • 29 May 2022 • Shangkun Sun, Yuanqi Chen, Yu Zhu, Guodong Guo, Ge Li
In this paper, we propose the Super Kernel Flow Network (SKFlow), a CNN architecture to ameliorate the impacts of occlusions on optical flow estimation.
1 code implementation • ICCV 2021 • Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu
The proposed model can generate photo-realistic portrait images with accurate movements according to intuitive modifications.
2 code implementations • 31 May 2021 • Xiujun Shu, Xiao Wang, Xianghao Zang, Shiliang Zhang, Yuanqi Chen, Ge Li, Qi Tian
We also verified that models pre-trained on LaST can generalize well on existing datasets with short-term and cloth-changing scenarios.
no code implementations • 23 Apr 2021 • Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas Li
This paper aims to verify the existence of aliasing in TAL methods and investigate utilizing low pass filters to solve this problem by inhibiting the high-frequency band.
no code implementations • ICCV 2021 • Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li
Pose-guided virtual try-on task aims to modify the fashion item based on pose transfer task.
1 code implementation • 10 Dec 2020 • Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas Li
This issue makes the generator lack the incentive from the discriminator to learn high-frequency content of data, resulting in a significant spectrum discrepancy between generated images and real images.
1 code implementation • 28 Jul 2020 • Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li
Recent studies have shown remarkable success in unsupervised image-to-image translation.
1 code implementation • NeurIPS 2019 • Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li
Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation.