521 citations · 1k across the 29 of their papers we have counts for
7 papers · 1 filter
CU-Net: Coupled U-Nets
Zhiqiang Tang, Xi Peng, Shijie Geng +2
We design a new connectivity pattern for the U-Net architecture. Given several stacked U-Nets, we couple each U-Net pair through the connections of their semantic blocks, resulting…
Quantized Densely Connected U-Nets for Efficient Landmark Localization
Zhiqiang Tang, Xi Peng, Shijie Geng +3
In this paper, we propose quantized densely connected U-Nets for efficient visual landmark localization. The idea is that features of the same semantic meanings are globally reused…
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
Long Zhao, Xi Peng, Yu Tian +2
We consider the problem of image-to-video translation, where an input image is translated into an output video containing motions of a single object. Recent methods for such proble…
CR-GAN: Learning Complete Representations for Multi-view Generation
Yu Tian, Xi Peng, Long Zhao +2
Generating multi-view images from a single-view input is an essential yet challenging problem. It has broad applications in vision, graphics, and robotics. Our study indicates that…
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Xi Peng, Zhiqiang Tang, Fei Yang +2
Random data augmentation is a critical technique to avoid overfitting in training deep neural network models. However, data augmentation and network training are usually treated as…
Toward Marker-free 3D Pose Estimation in Lifting: A Deep Multi-view Solution
Rahil Mehrizi, Xi Peng, Zhiqiang Tang +3
Lifting is a common manual material handling task performed in the workplaces. It is considered as one of the main risk factors for Work-related Musculoskeletal Disorders. To impro…