224 citations · 2.3k across the 117 of their papers we have counts for
13 papers · 1 filter
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
Ziqi Zhou, Zheng Wang, Huchuan Lu +2
The existing still-static deep learning based saliency researches do not consider the weighting and highlighting of extracted features from different layers, all features contribut…
DeepLens: Shallow Depth Of Field From A Single Image
Lijun Wang, Xiaohui Shen, Jianming Zhang +5
We aim to generate high resolution shallow depth-of-field (DoF) images from a single all-in-focus image with controllable focal distance and aperture size. To achieve this, we prop…
Boundary-guided Feature Aggregation Network for Salient Object Detection
Yunzhi Zhuge, Pingping Zhang, Huchuan Lu
Fully convolutional networks (FCN) has significantly improved the performance of many pixel-labeling tasks, such as semantic segmentation and depth estimation. However, it still re…
Learning regression and verification networks for long-term visual tracking
Yunhua Zhang, Dong Wang, Lijun Wang +2
Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if presen…
Troy: Give Attention to Saliency and for Saliency
Pingping Zhang, Huchuan Lu, Chunhua Shen
In addition, our work has text overlap with arXiv:1804.06242, arXiv:1705.00938 by other authors. We want to rewrite this paper for avoiding this fact.
Learning Dual Convolutional Neural Networks for Low-Level Vision
Jinshan Pan, Sifei Liu, Deqing Sun +8
In this paper, we propose a general dual convolutional neural network (DualCNN) for low-level vision problems, e.g., super-resolution, edge-preserving filtering, deraining and deha…
Correlation Tracking via Joint Discrimination and Reliability Learning
Chong Sun, Dong Wang, Huchuan Lu +1
For visual tracking, an ideal filter learned by the correlation filter (CF) method should take both discrimination and reliability information. However, existing attempts usually f…
HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection
Pingping Zhang, Huchuan Lu, Chunhua Shen
Salient object detection (SOD), which aims to find the most important region of interest and segment the relevant object/item in that area, is an important yet challenging vision t…
Video Person Re-identification by Temporal Residual Learning
Ju Dai, Pingping Zhang, Huchuan Lu +1
In this paper, we propose a novel feature learning framework for video person re-identification (re-ID). The proposed framework largely aims to exploit the adequate temporal inform…
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation
Fei Li, Pingping Zhang, Huchuan Lu
Hyperspectral images have far more spectral bands than ordinary multispectral images. Rich band information provides more favorable conditions for the tremendous applications. Howe…
Agile Amulet: Real-Time Salient Object Detection with Contextual Attention
Pingping Zhang, Luyao Wang, Dong Wang +2
This paper proposes an Agile Aggregating Multi-Level feaTure framework (Agile Amulet) for salient object detection. The Agile Amulet builds on previous works to predict saliency ma…
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps
Pingping Zhang, Wei Liu, Dong Wang +4
In this paper, we propose a novel effective non-rigid object tracking framework based on the spatial-temporal consistent saliency detection. In contrast to most existing trackers t…
Salient Object Detection by Lossless Feature Reflection
Pingping Zhang, Wei Liu, Huchuan Lu +1
Salient object detection, which aims to identify and locate the most salient pixels or regions in images, has been attracting more and more interest due to its various real-world a…