216 citations · 1.4k across the 66 of their papers we have counts for
6 papers · 1 filter
Multi-Instance Visual-Semantic Embedding
Zhou Ren, Hailin Jin, Zhe Lin +2
Visual-semantic embedding models have been recently proposed and shown to be effective for image classification and zero-shot learning, by mapping images into a continuous semantic…
Automatic Content-Aware Color and Tone Stylization
Joon-Young Lee, Kalyan Sunkavalli, Zhe Lin +2
We introduce a new technique that automatically generates diverse, visually compelling stylizations for a photograph in an unsupervised manner. We achieve this by learning style ra…
LCNN: Low-level Feature Embedded CNN for Salient Object Detection
Hongyang Li, Huchuan Lu, Zhe Lin +2
In this paper, we propose a novel deep neural network framework embedded with low-level features (LCNN) for salient object detection in complex images. We utilise the advantage of…
Inner and Inter Label Propagation: Salient Object Detection in the Wild
Hongyang Li, Huchuan Lu, Zhe Lin +2
In this paper, we propose a novel label propagation based method for saliency detection. A key observation is that saliency in an image can be estimated by propagating the labels e…
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang, Xiaohui Shen, Zhe Lin +3
Segmenting semantic objects from images and parsing them into their respective semantic parts are fundamental steps towards detailed object understanding in computer vision. In thi…
Collaborative Feature Learning from Social Media
Chen Fang, Hailin Jin, Jianchao Yang +1
Image feature representation plays an essential role in image recognition and related tasks. The current state-of-the-art feature learning paradigm is supervised learning from labe…