activity
20152023
most citedSTC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

619 citations · 2.4k across the 46 of their papers we have counts for

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Showing 2017Show all

11 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★ 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

Learning to Segment Human by Watching YouTube

Xiaodan Liang, Yunchao Wei, Liang Lin +4

An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer reasonable mask informatio…

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…