1.5k citations · 3.2k across the 75 of their papers we have counts for
9 papers · 2 filters
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai +6
In this paper, we propose an efficient human pose estimation network (DANet) by learning deeply aggregated representations. Most existing models explore multi-scale information mai…
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Zhengxiong Luo, Zhicheng Wang, Yan Huang +2
Heatmap regression has become the most prevalent choice for nowadays human pose estimation methods. The ground-truth heatmaps are usually constructed via covering all skeletal keyp…
Unfolding the Alternating Optimization for Blind Super Resolution
Zhengxiong Luo, Yan Huang, Shang Li +2
Previous methods decompose blind super resolution (SR) problem into two sequential steps: \textit{i}) estimating blur kernel from given low-resolution (LR) image and \textit{ii}) r…
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
Yunfan Liu, Qi Li, Zhenan Sun +1
Generative Adversarial Networks (GANs) with style-based generators (e.g. StyleGAN) successfully enable semantic control over image synthesis, and recent studies have also revealed…
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
Chenyang Si, Xuecheng Nie, Wei Wang +3
We consider the problem of semi-supervised 3D action recognition which has been rarely explored before. Its major challenge lies in how to effectively learn motion representations…
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Junran Peng, Xingyuan Bu, Ming Sun +3
Training with more data has always been the most stable and effective way of improving performance in deep learning era. As the largest object detection dataset so far, Open Images…
Cosmetic-Aware Makeup Cleanser
Yi Li, Huaibo Huang, Junchi Yu +2
Face verification aims at determining whether a pair of face images belongs to the same identity. Recent studies have revealed the negative impact of facial makeup on the verificat…
Learning Pose-invariant 3D Object Reconstruction from Single-view Images
Bo Peng, Wei Wang, Jing Dong +1
Learning to reconstruct 3D shapes using 2D images is an active research topic, with benefits of not requiring expensive 3D data. However, most work in this direction requires multi…
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition
Ziwen He, Wei Wang, Jing Dong +1
Gait recognition is widely used in social security applications due to its advantages in long-distance human identification. Recently, sequence-based methods have achieved high acc…