1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nankai UniversityCN185 papers
- Chinese Academy of SciencesCN114 papers
- National University of SingaporeSG63 papers
- Tsinghua UniversityCN53 papers
- University of Chinese Academy of SciencesCN50 papers
- Peking UniversityCN48 papers
- Nanyang Technological UniversitySG43 papers
- Centre National de la Recherche ScientifiqueFR39 papers
- University of Science and Technology of ChinaCN37 papers
- Peng Huanwu Center for Fundamental TheoryCN31 papers
- Beijing Normal UniversityCN29 papers
- Lanzhou UniversityCN29 papers
13 papers · 2 filters
An Iterative Co-Saliency Framework for RGBD Images
Runmin Cong, Jianjun Lei, Huazhu Fu +4
As a newly emerging and significant topic in computer vision community, co-saliency detection aims at discovering the common salient objects in multiple related images. The existin…
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation
Runmin Cong, Jianjun Lei, Huazhu Fu +3
Co-saliency detection aims at extracting the common salient regions from an image group containing two or more relevant images. It is a newly emerging topic in computer vision comm…
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Faxian Cao, Zhijing Yang, Jinchang Ren +1
Although extreme learning machine (ELM) has been successfully applied to a number of pattern recognition problems, it fails to pro-vide sufficient good results in hyperspectral ima…
Emerging from Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer
Chongyi Li, Jichang Guo, Chunle Guo
Underwater vision suffers from severe effects due to selective attenuation and scattering when light propagates through water. Such degradation not only affects the quality of unde…
K-means clustering for efficient and robust registration of multi-view point sets
Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis +3
Generally, there are three main factors that determine the practical usability of registration, i.e., accuracy, robustness, and efficiency. In real-time applications, efficiency an…
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction
Yanwei Pang, Bo Zhou, Feiping Nie
Explicitly or implicitly, most of dimensionality reduction methods need to determine which samples are neighbors and the similarity between the neighbors in the original highdimens…
Video Summarization with Attention-Based Encoder-Decoder Networks
Zhong Ji, Kailin Xiong, Yanwei Pang +1
This paper addresses the problem of supervised video summarization by formulating it as a sequence-to-sequence learning problem, where the input is a sequence of original video fra…
Understanding Kernel Size in Blind Deconvolution
Li Si-Yao, Dongwei Ren, Qian Yin
Most blind deconvolution methods usually pre-define a large kernel size to guarantee the support domain. Blur kernel estimation error is likely to be introduced, yielding severe ar…
Semantic Softmax Loss for Zero-Shot Learning
Zhong Ji, Yunxin Sun, Yulong Yu +2
A typical pipeline for Zero-Shot Learning (ZSL) is to integrate the visual features and the class semantic descriptors into a multimodal framework with a linear or bilinear model.…
Skeleton-based Action Recognition with Convolutional Neural Networks
Chao Li, Qiaoyong Zhong, Di Xie +1
Current state-of-the-art approaches to skeleton-based action recognition are mostly based on recurrent neural networks (RNN). In this paper, we propose a novel convolutional neural…
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
Shuang Ma, Jing Liu, Chang Wen Chen
Deep convolutional neural networks (CNN) have recently been shown to generate promising results for aesthetics assessment. However, the performance of these deep CNN methods is oft…
Transductive Zero-Shot Learning with Adaptive Structural Embedding
Yunlong Yu, Zhong Ji, Jichang Guo +1
Zero-shot learning (ZSL) endows the computer vision system with the inferential capability to recognize instances of a new category that has never seen before. Two fundamental chal…
Robust Non-Rigid Registration with Reweighted Position and Transformation Sparsity
Kun Li, Jingyu Yang, Yu-Kun Lai +1
Non-rigid registration is challenging because it is ill-posed with high degrees of freedom and is thus sensitive to noise and outliers. We propose a robust non-rigid registration m…