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Chapter and Conference Paper
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
Image-text matching plays a central role in bridging vision and language. Most existing approaches only rely on the image-text instance pair to learn their representations, thereby exploiting their matching re...
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Article
Special focus on deep learning for computer vision
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Book
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Chapter and Conference Paper
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
Segmentation is a fundamental task in medical image analysis. However, most existing methods focus on primary region extraction and ignore edge information, which is useful for obtaining accurate segmentation....
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Chapter
Deep Learning in Object Detection
Object detection is an important research area in image processing and computer vision. The performance of object detection has significantly improved through applying deep learning technology. Among these met...
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Article
GlanceNets — efficient convolutional neural networks with adaptive hard example mining
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Article
Learning intensity and detail map** parameters for dehazing
State-of-the-art methods for removing haze from a single image rely on a haze image formation model and the inversion problem is solved by estimating medium transmission and global atmospheric light. In this p...
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Chapter and Conference Paper
Cross-Modal Retrieval with Discriminative Dual-Path CNN
Cross-modal retrieval aims at searching semantically similar examples in one modality by using a query from another modality. Its typical applications including image-based text retrieval (IBTR) and text-based...
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Article
Learning Tone Map** Function for Dehazing
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Chapter and Conference Paper
Zero-Shot Learning with Deep Canonical Correlation Analysis
Zero-shot learning (ZSL) improves the scalability of conventional image classification systems by allowing some testing categories having no training data. One key component is to learn a shared embedding spac...
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Chapter and Conference Paper
ECG Waveform Extraction from Paper Records
Electrocardiogram (ECG) is one of the most practiced methods to detect any abnormalities in human heart function. ECG waveforms are usually recorded as paper form. However, ECG paper records are inconvenient f...
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Article
Incrementally Detecting Moving Objects in Video with Sparsity and Connectivity
Moving object detection is crucial for cognitive vision-based robot tasks. However, due to noise, dynamic background, variations in illumination, and high frame rate, it is a challenging task to robustly and e...
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Chapter and Conference Paper
Enhancement for Dust-Sand Storm Images
A novel dust-sand storm image enhancement scheme is proposed. The input degraded color image is first convert into CIELAB color space. Then two chromatic components (a* and b*) are combined to perform color cast ...
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Chapter and Conference Paper
Interactive Head 3D Reconstruction Based Combine of Key Points and Voxel
In the 3D reconstruction of the head, we can extract a large number of key points from the face, but not enough key points from the hair. The 3D reconstruction method based key points do well in the facial rec...
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Chapter and Conference Paper
Marginal Fisher Regression Classification for Face Recognition
This paper presents a novel marginal Fisher regression classification (MFRC) method by incorporating the ideas of marginal Fisher analysis (MFA) and linear regression classification (LRC). The MFRC aims at minimi...
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Chapter and Conference Paper
Weighted Deformable Part Model for Robust Human Detection
Due to human pose articulation, variation in human shapes and appearances, especially occlusion between human and objects, one challenging problem in human detection is detect partially or completely occluded ...
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Chapter and Conference Paper
Frequency Domain Directional Filtering Based Rain Streaks Removal from a Single Color Image
Bad weather conditions, such as rain or snow, degrade outdoor vision system performance. Rain removal from a single image has been investigated extensively. However, existing built rain streak models are great...
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Chapter and Conference Paper
Balance between Diversity and Relevance for Image Search Results
Image search reranking has received great attention since it overcomes the drawback of “only textual features utilization” in nowadays web-scale image search engines. Most of existing methods focus on relevanc...
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Chapter and Conference Paper
Image Search Reranking with Semi-supervised LPP and Ranking SVM
Learning to rank is one of the most popular ranking methods used in image retrieval and search reranking. However, the high-dimension of the visual features usually causes the problem of “curse of dimensionali...
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Chapter
Active Histogram of Oriented Gradient Based Learning for Free Palm Tracking
Hand detection is a challenging research field in computer vision due tothe high freedom of hand for discrimination especially under low imaging conditions. In this paper, we mainly develop a novel feature tha...
