43 citations · 88 across the 9 of their papers we have counts for
9 papers
Learning Semantic Facial Descriptors for Accurate Face Animation
Lei Zhu, Yuanqi Chen, Xiaohang Liu +2
Face animation is a challenging task. Existing model-based methods (utilizing 3DMMs or landmarks) often result in a model-like reconstruction effect, which doesn't effectively pres…
Class Prototype-based Cleaner for Label Noise Learning
Jingjia Huang, Yuanqi Chen, Jiashi Feng +1
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 trai…
SKFlow: Learning Optical Flow with Super Kernels
Shangkun Sun, Yuanqi Chen, Yu Zhu +2
Optical flow estimation is a classical yet challenging task in computer vision. One of the essential factors in accurately predicting optical flow is to alleviate occlusions betwee…
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
Yurui Ren, Ge Li, Yuanqi Chen +2
Generating portrait images by controlling the motions of existing faces is an important task of great consequence to social media industries. For easy use and intuitive control, se…
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
Xiujun Shu, Xiao Wang, Xianghao Zang +4
Person re-identification (re-ID) in the scenario with large spatial and temporal spans has not been fully explored. This is partially because that, existing benchmark datasets were…
Low Pass Filter for Anti-aliasing in Temporal Action Localization
Cece Jin, Yuanqi Chen, Ge Li +2
In temporal action localization methods, temporal downsampling operations are widely used to extract proposal features, but they often lead to the aliasing problem, due to lacking…
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Yuanqi Chen, Ge Li, Cece Jin +2
This paper observes that there is an issue of high frequencies missing in the discriminator of standard GAN, and we reveal it stems from downsampling layers employed in the network…
Toward Zero-Shot Unsupervised Image-to-Image Translation
Yuanqi Chen, Xiaoming Yu, Shan Liu +1
Recent studies have shown remarkable success in unsupervised image-to-image translation. However, if there has no access to enough images in target classes, learning a mapping from…
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu, Yuanqi Chen, Thomas Li +2
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. However, the existin…