Computer Vision
Second CCF Chinese Conference, CCCV 2017, Tian**, China, October 11–14, 2017, Proceedings, Part II
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82 Result(s)
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
Adaptive Graph Fusion for Unsupervised Feature Selection
The massive high-dimensional data brings about great time complexity, high storage burden and poor generalization ability of learning models. Feature selection can alleviate curse of dimensionality by selectin...
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Chapter and Conference Paper
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
Drones equipped with cameras have been fast deployed to a wide range of applications, such as agriculture, aerial photography, fast delivery, and surveillance. As the core steps in those applications, video ob...
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Chapter and Conference Paper
Transfer Learning for Driving Pattern Recognition
Driving pattern recognition based on driving status features (GPS, gear, and speed etc.) is of central importance in the development of intelligent transportation. While it is expensive and labor intensive to ...
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Chapter and Conference Paper
Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions
In many computer vision tasks, images or image sets can be modeled as a Gaussian distribution to capture the underlying data distribution. The challenge of using Gaussians to model the vision data is that the ...
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Chapter and Conference Paper
Multi-task Learning Method for Hierarchical Time Series Forecasting
Hierarchical time series is a set of time series organized by aggregation constraints and it is widely used in many real-world applications. Usually, hierarchical time series forecasting can be realized with a...
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Chapter and Conference Paper
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack o...
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Article
Feature selection based on maximal neighborhood discernibility
Neighborhood rough set has been proven to be an effective tool for feature selection. In this model, the positive region of decision is used to evaluate the classification ability of a subset of candidate feat...
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Article
Driver State Analysis Based on Imperfect Multi-view Evidence Support
Driver state analysis is considered as a potential application of computer vision. Facial images contain important information that enable recognition of the states of a driver. Unfortunately, the information ...
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Chapter and Conference Paper
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning
Bayesian networks (BNs) parameter learning is a challenging task as it relies on a large amount of reliable and representative training data. Unfortunately, it is often difficult to obtain sufficient samples i...
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Chapter and Conference Paper
Generalized Multi-view Unsupervised Feature Selection
Although many unsupervised feature selection (UFS) methods have been proposed, most of them still suffer from the following limitations: (1) these methods are usually just applicable to single-view data, thus ...
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Chapter and Conference Paper
Latent Subspace Representation for Multiclass Classification
Self-representation based subspace representation has shown its effectiveness in clustering tasks, in which the key assumption is that data are from multiple subspaces and can be reconstructed by the data them...
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Chapter and Conference Paper
Finding the K Nearest Objects over Time Dependent Road Networks
K nearest neighbor (kNN) search is an important problem and has been well studied on static road networks. However, in real world, road networks are often time-dependent, i.e., the time for traveling through a ro...
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Book and Conference Proceedings
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Book and Conference Proceedings
Computer Vision
Second CCF Chinese Conference, CCCV 2017, Tian**, China, October 11–14, 2017, Proceedings, Part I
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Book and Conference Proceedings
Computer Vision
Second CCF Chinese Conference, CCCV 2017, Tian**, China, October 11–14, 2017, Proceedings, Part III
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Chapter and Conference Paper
Multi-view Label Space Dimension Reduction
In multi-label classification, the explosion of the label space makes the classic multi-label classification models computationally inefficient and degrades the classification performance. To alleviate the cur...
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Chapter and Conference Paper
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization
Many real-world applications involve multi-label classification where each sample is usually associated with a set of labels. Although many methods have been proposed, most of them are just applicable to singl...
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Chapter and Conference Paper
Relevance and Coherence Based Image Caption
The attention-based image caption framework has been widely explored in recent years. However, most techniques generate next word conditioned on previous words and current visual contents, while the relationsh...
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Chapter and Conference Paper
Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM
Linear support vector machine (SVM) is a popular tool in machine learning. Compared with nonlinear SVM, linear SVM produce competent performances, and is more efficient in tacking larg-scale and high dimension...
