2 citations · 2 across the 2 of their papers we have counts for
6 papers
Short-Term and Long-Term Context Aggregation Network for Video Inpainting
Ang Li, Shanshan Zhao, Xingjun Ma +5
Video inpainting aims to restore missing regions of a video and has many applications such as video editing and object removal. However, existing methods either suffer from inaccur…
Learning Based Distributed Tracking
Hao Wu, Junhao Gan, Rui Zhang
Inspired by the great success of machine learning in the past decade, people have been thinking about the possibility of improving the theoretical results by exploring data distrib…
Boosted GAN with Semantically Interpretable Information for Image Inpainting
Ang Li, Jianzhong Qi, Rui Zhang +1
Image inpainting aims at restoring missing region of corrupted images, which has many applications such as image restoration and object removal. However, current GAN-based inpainti…
CARL: Aggregated Search with Context-Aware Module Embedding Learning
Xinting Huang, Jianzhong Qi, Yu Sun +2
Aggregated search aims to construct search result pages (SERPs) from blue-links and heterogeneous modules (such as news, images, and videos). Existing studies have largely ignored…
MMF: Attribute Interpretable Collaborative Filtering
Yixin Su, Sarah Monazam Erfani, Rui Zhang
Collaborative filtering is one of the most popular techniques in designing recommendation systems, and its most representative model, matrix factorization, has been wildly used by…
Generative Image Inpainting with Submanifold Alignment
Ang Li, Jianzhong Qi, Rui Zhang +2
Image inpainting aims at restoring missing regions of corrupted images, which has many applications such as image restoration and object removal. However, current GAN-based generat…