Search Results for author: Yuanqi Chen

Found 9 papers, 7 papers with code

Class Prototype-based Cleaner for Label Noise Learning

1 code implementation21 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.

Image Classification

SKFlow: Learning Optical Flow with Super Kernels

1 code implementation29 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.

Optical Flow Estimation

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

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.

Image Generation Neural Rendering

Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark

2 code implementations31 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.

Person Re-Identification

Low Pass Filter for Anti-aliasing in Temporal Action Localization

no code implementations23 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.

Temporal Action Localization

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains

1 code implementation10 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.

Toward Zero-Shot Unsupervised Image-to-Image Translation

1 code implementation28 Jul 2020 Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li

Recent studies have shown remarkable success in unsupervised image-to-image translation.

Attribute Translation +2

Multi-mapping Image-to-Image Translation via Learning Disentanglement

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.

Disentanglement Image-to-Image Translation +1

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