most citedPattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation

23 citations · 33 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV201923 cited

Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation

Zhenyu Zhang, Zhen Cui, Chunyan Xu +3

In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) framework to jointly predict depth, surface normal and semantic segmentation. The motivation behind it comes…

cs.CV20198 cited

GazeCorrection:Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks

Jichao Zhang, Meng Sun, Jingjing Chen +4

Gaze correction aims to redirect the person's gaze into the camera by manipulating the eye region, and it can be considered as a specific image resynthesis problem. Gaze correction…

cs.CV2019

Expression Conditional GAN for Facial Expression-to-Expression Translation

Hao Tang, Wei Wang, Songsong Wu +4

In this paper, we focus on the facial expression translation task and propose a novel Expression Conditional GAN (ECGAN) which can learn the mapping from one image domain to anothe…

cs.CV2019

Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering

Songsong Wu, Zhiqiang Lu, Hao Tang +4

Multi-view subspace clustering aims to divide a set of multisource data into several groups according to their underlying subspace structure. Although the spectral clustering based…

cs.CV20192 cited

Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation

Songsong Wu, Yan Yan, Hao Tang +3

Unsupervised Domain Adaptation (UDA) addresses the problem of performance degradation due to domain shift between training and testing sets, which is common in computer vision appl…

cs.HC2016

PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes

Syed Omer Gilani, Ramanathan Subramanian, Yan Yan +3

We present the Pascal animal classes Eye Tracking database. Our database comprises eye movement recordings compiled from forty users for the bird, cat, cow, dog, horse and sheep {t…