1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tsinghua UniversityCN67 papers
- Tsinghua–Berkeley Shenzhen InstituteCN23 papers
- Harbin Institute of TechnologyCN10 papers
- Peng Cheng LaboratoryCN6 papers
- University College LondonGB5 papers
- Chinese Academy of SciencesCN4 papers
- Hong Kong University of Science and TechnologyHK4 papers
- Peking UniversityCN4 papers
- University of California San DiegoUS4 papers
- Collaborative Innovation Center of Quantum MatterCN3 papers
- Nankai UniversityCN3 papers
- Shandong UniversityCN3 papers
16 papers · 1 filter
PHPQ: Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval
Ziyun Zeng, Jinpeng Wang, Bin Chen +3
Deep hashing approaches, including deep quantization and deep binary hashing, have become a common solution to large-scale image retrieval due to their high computation and storage…
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
Haopeng Li, Lingbo Liu, Kunlin Yang +5
Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos. To model spatial-temporal dependencie…
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng +5
Convolutional neural networks (CNNs) have been successfully used in a range of tasks. However, CNNs are often viewed as "black-box" and lack of interpretability. One main reason is…
Real-MFF: A Large Realistic Multi-focus Image Dataset with Ground Truth
Juncheng Zhang, Qingmin Liao, Shaojun Liu +3
Multi-focus image fusion, a technique to generate an all-in-focus image from two or more partially-focused source images, can benefit many computer vision tasks. However, currently…
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches
Weihao Xia, Yujiu Yang, Jing-Hao Xue
Image generation has received increasing attention because of its wide application in security and entertainment. Sketch-based face generation brings more fun and better quality of…
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
Haoyu Ma, Qingmin Liao, Juncheng Zhang +2
Capturing an all-in-focus image with a single camera is difficult since the depth of field of the camera is usually limited. An alternative method to obtain the all-in-focus image…
Adversarial Defense via Local Flatness Regularization
Jia Xu, Yiming Li, Yong Jiang +1
Adversarial defense is a popular and important research area. Due to its intrinsic mechanism, one of the most straightforward and effective ways of defending attacks is to analyze…
STAR: A Structure and Texture Aware Retinex Model
Jun Xu, Yingkun Hou, Dongwei Ren +5
Retinex theory is developed mainly to decompose an image into the illumination and reflectance components by analyzing local image derivatives. In this theory, larger derivatives a…
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network
Haoyu Ma, Juncheng Zhang, Shaojun Liu +1
Since it is usually difficult to capture an all-in-focus image of a 3D scene directly, various multi-focus image fusion methods are employed to generate it from several images focu…
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features
Yongpei Zhu, Zicong Zhou, Guojun Liao +2
Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a diffcult task due to different types of brain abnormalities. Using information and features from multi…
FPGA-based Acceleration System for Visual Tracking
Ke Song, Chun Yuan, Peng Gao +1
Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-tim…
Efficient Multi-level Correlating for Visual Tracking
Yipeng Ma, Chun Yuan, Peng Gao +1
Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimizatio…
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network
Liping Zhang, Zongqing Lu, Qingmin Liao
The convolutional neural network model for optical flow estimation usually outputs a low-resolution(LR) optical flow field. To obtain the corresponding full image resolution,interp…
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang +3
We consider the single image super-resolution problem in a more general case that the low-/high-resolution pairs and the down-sampling process are unavailable. Different from tradi…
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian +2
Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions…
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu, Wangpeng An, Lei Zhang +1
The use of sparse representation (SR) and collaborative representation (CR) for pattern classification has been widely studied in tasks such as face recognition and object categori…