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Article
Statistical texture involved multi-granularity attention network for remote sensing semantic segmentation
In recent years,semantic segmentation technology plays an important role in land resource management tasks. However, many classic semantic segmentation models often fail to obtain satisfactory results for remo...
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Article
Multi-representation decoupled joint network for semantic segmentation of remote sensing images
In recent years, semantic segmentation has become an important means of processing remote sensing images, and it is widely used in various fields such as natural disaster detection, environmental protection, a...
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Chapter and Conference Paper
Lazy Machine Unlearning Strategy for Random Forests
Removing the impact of some revoked training data from the machine learning models, i.e., machine unlearning, is a non-trivial task, which plays a pivotal role in fortifying the privacy and security of ML-base...
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Article
A lock-free approach to parallelizing personalized PageRank computations on GPU
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Article
Person re-identification based on multi-appearance model
Person re-identification plays important roles in many practical applications. Due to various human poses, complex backgrounds and similarity of person clothes, person re-identification is still a challenging ...
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Article
Adaptive multi-branch correlation filters for robust visual tracking
In recent years, deep convolutional features have been applied to discriminative correlation filters-based methods, which have achieved impressive performance in tracking. Most of them utilize hierarchical fea...
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Chapter and Conference Paper
An Adaptive Sharing Framework for Efficient Multi-source Shortest Path Computation
Many real-world applications need to know the distances between some or all pairs of vertices in a large graph, but the existing distributed single-source shortest path (SSSP) solution can not efficiently hand...
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Chapter and Conference Paper
R2SN: Refined Semantic Segmentation Network of City Remote Sensing Image
Semantic segmentation is always a key problem in remote sensing image analysis. Especially, it is very useful for city-scale vehicle detection. However, multi-object and imbalanced data classes of remote sensi...
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Article
A Multi-modality Sensor System for Unmanned Surface Vehicle
The onboard multi-modality sensors significantly expand perception ability of Unmanned Surface Vehicle (USV). This paper aims to fully utilize various onboard sensors and enhance USV’s object detection perform...
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Chapter and Conference Paper
Person Re-Identification Based on Pose-Aware Segmentation
Person re-identification (Re-ID) is a key technology for intelligent video analysis. However, it is still a challenging task due to various complex background, different poses of person, etc. In this paper we ...
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Article
Understanding personality of portrait by social embedding visual features
Image understanding achieves unprecedented performance in content recognition and emotion rating recently. However, previous research mainly focused on visual features. In this paper, inspired by human cogniti...
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Chapter and Conference Paper
Robust Underwater Fish Classification Based on Data Augmentation by Adding Noises in Random Local Regions
Underwater fish classification is in great demand, but the unrestricted natural environment makes it a challenging task. The monitor placed underwater gets a lot of low-quality and hard-to-mark marine fish ima...
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Chapter and Conference Paper
CGANs Based User Preferred Photorealistic Re-stylization of Social Image
In social networks, it is important to re-stylize a randomly taken photo to exhibit a unique individual character. Previous stylization methods either respect to a motivation of improving perceptual quality or...
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Article
Human body segmentation based on shape constraint
Human body segmentation is essential for many practical applications, e.g., video surveillance analysis in intelligent urban. However, existing methods mainly suffer from various human poses. In this paper, we...
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Article
Inferring intrinsic correlation between clothing style and wearers’ personality
Clothing, as a language of signs, transmit more information of wearers’ inner-self. Specially, portraits and Selfies take a high percent on social networking. Is there any relationship between wearers’ persona...
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Chapter and Conference Paper
Exploring Relationship Between Face and Trustworthy Impression Using Mid-level Facial Features
When people look at a face, they always build an affective subconscious impression of the person which is very useful information in social contact. Exploring relationship between facial appearance in portrait...
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Chapter and Conference Paper
Social Media Profiler: Inferring Your Social Media Personality from Visual Attributes in Portrait
In this paper, we introduce an interesting but challenging problem: how to infer social media personality from portrait. To address this problem, we jointly consider social media content and behavior informati...
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Chapter and Conference Paper
Is Your First Impression Reliable? Trustworthy Analysis Using Facial Traits in Portraits
As a basic human quality, trustworthiness plays an important role in social communications. In this paper, we proposed a novel concept to predict people’s trustworthiness at first sight using facial traits. Fi...
