663 citations · 3.7k across the 62 of their papers we have counts for
7 papers · 1 filter
Deep Cropping via Attention Box Prediction and Aesthetics Assessment
Wenguan Wang, Jianbing Shen
We model the photo cropping problem as a cascade of attention box regression and aesthetic quality classification, based on deep learning. A neural network is designed that has two…
Improved Face Detection and Alignment using Cascade Deep Convolutional Network
Weilin Cong, Sanyuan Zhao, Hui Tian +1
Real-world face detection and alignment demand an advanced discriminative model to address challenges by pose, lighting and expression. Illuminated by the deep learning algorithm,…
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking
Xingping Dong, Jianbing Shen, Dongming Wu +3
In the same vein of discriminative one-shot learning, Siamese networks allow recognizing an object from a single exemplar with the same class label. However, they do not take advan…
Deep Visual Attention Prediction
Wenguan Wang, Jianbing Shen
In this work, we aim to predict human eye fixation with view-free scenes based on an end-to-end deep learning architecture. Although Convolutional Neural Networks (CNNs) have made…
Selective Video Object Cutout
Wenguan Wang, Jianbing Shen, Fatih Porikli
Conventional video segmentation approaches rely heavily on appearance models. Such methods often use appearance descriptors that have limited discriminative power under complex sce…
Super-Trajectory for Video Segmentation
Wenguan Wang, Jianbing Shen, Jianwen Xie +1
We introduce a novel semi-supervised video segmentation approach based on an efficient video representation, called as "super-trajectory". Each super-trajectory corresponds to a gr…
Video Salient Object Detection via Fully Convolutional Networks
Wenguan Wang, Jianbing Shen, Ling Shao
This paper proposes a deep learning model to efficiently detect salient regions in videos. It addresses two important issues: (1) deep video saliency model training with the absenc…