activity
20162023
most citedWeakly-Supervised Multi-Face 3D Reconstruction

12 citations · 31 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV20228 cited

Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution

Wentong Li, Wenyu Liu, Jianke Zhu +4

In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted i…

cs.CV20211 cited

Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction

Hantang Liu, Wentong Li, Jianke Zhu

Effectively parsing the facade is essential to 3D building reconstruction, which is an important computer vision problem with a large amount of applications in high precision map f…

cs.CV2021

Structure First Detail Next: Image Inpainting with Pyramid Generator

Shuyi Qu, Zhenxing Niu, Kaizhu Huang +4

Recent deep generative models have achieved promising performance in image inpainting. However, it is still very challenging for a neural network to generate realistic image detail…

cs.CV202112 cited

Weakly-Supervised Multi-Face 3D Reconstruction

Jialiang Zhang, Lixiang Lin, Jianke Zhu +1

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identif…

cs.CV2021

Horizontal-to-Vertical Video Conversion

Tun Zhu, Daoxin Zhang, Yao Hu +4

Alongside the prevalence of mobile videos, the general public leans towards consuming vertical videos on hand-held devices. To revitalize the exposure of horizontal contents, we he…

cs.LG20201 cited

Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution

Shu-Ting Shi, Wenhao Zheng, Jun Tang +4

Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation. Recently, deep learning models have been proposed to learn the rep…