activity
20132023
most citedGenerative Image Inpainting with Contextual Attention

216 citations · 1.4k across the 66 of their papers we have counts for

collaborators
Showing 2017Show all

8 papers · 1 filter

cs.CV2017★ 49 cited

Predicting Scene Parsing and Motion Dynamics in the Future

Xiaojie Jin, Huaxin Xiao, Xiaohui Shen +6

The ability of predicting the future is important for intelligent systems, e.g. autonomous vehicles and robots to plan early and make decisions accordingly. Future scene parsing an…

cs.CV2017★ 8 cited

Contextual-based Image Inpainting: Infer, Match, and Translate

Yuhang Song, Chao Yang, Zhe Lin +4

We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents. To this end, we propose a learning-based approach to g…

cs.CV2017★ 15 cited

Scene Parsing with Global Context Embedding

Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen +4

We present a scene parsing method that utilizes global context information based on both the parametric and non- parametric models. Compared to previous methods that only exploit t…

cs.CV2017★ 10 cited

FoveaNet: Perspective-aware Urban Scene Parsing

Xin Li, Zequn Jie, Wei Wang +7

Parsing urban scene images benefits many applications, especially self-driving. Most of the current solutions employ generic image parsing models that treat all scales and location…

cs.CV2017★ 1 cited

Recognizing and Curating Photo Albums via Event-Specific Image Importance

Yufei Wang, Zhe Lin, Xiaohui Shen +3

Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collecti…

cs.CV2017★ 16 cited

Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition

Yufei Wang, Zhe Lin, Xiaohui Shen +2

Recently, there has been a lot of interest in automatically generating descriptions for an image. Most existing language-model based approaches for this task learn to generate an i…

cs.CV2017★ 1 cited

Recurrent Multimodal Interaction for Referring Image Segmentation

Chenxi Liu, Zhe Lin, Xiaohui Shen +3

In this paper we are interested in the problem of image segmentation given natural language descriptions, i.e. referring expressions. Existing works tackle this problem by first mo…

cs.CV2017★ 19 cited

Deep Image Harmonization

Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin +3

Compositing is one of the most common operations in photo editing. To generate realistic composites, the appearances of foreground and background need to be adjusted to make them c…