Search Results - "Xie, Yurui"
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1
PBC: Polygon-Based Classifier for Fine-Grained Categorization
Published in IEEE transactions on multimedia (01-04-2017)“…Fine-grained categorization is a challenging task mainly due to two factors: first, objects share similar appearances between different categories; second,…”
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Learning Category-Specific Sharable and Exemplary Visual Elements for Image Classification
Published in IEEE access (2020)“…This paper presents a novel method to determine the discriminative image representation via visual dictionary learning framework for image classification task…”
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Zero-shot recognition with latent visual attributes learning
Published in Multimedia tools and applications (01-10-2020)“…Zero-shot learning (ZSL) aims to recognize novel object categories by means of transferring knowledge extracted from the seen categories (source domain) to the…”
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4
Influence of Sunn Hemp Biomass Incorporation on Organic Strawberry Production
Published in Horticulturae (01-11-2023)“…Sunn hemp (Crotalaria juncea L.), a warm season leguminous cover crop, is commonly used in rotation with organic strawberry production in Florida’s subtropical…”
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Semantic superpixel extraction via a discriminative sparse representation
Published in Multimedia tools and applications (01-12-2014)“…The superpixel extraction algorithm is becoming increasingly significant for pattern recognition applications. Different superpixel generation methods have…”
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Automated co-superpixel generation via graph matching
Published in Signal, image and video processing (01-05-2014)“…In this paper, a novel ‘co-superpixel’ generation method is proposed via the graph matching. The co-superpixel can capture the common semantic information in…”
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Spatially weighted order binary pattern for color texture classification
Published in Expert systems with applications (01-06-2020)“…•We propose a novel texture descriptor to handle color images.•A multi-channel color order pattern is explored to jointly encode inter-channel features.•A…”
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Learning discriminative visual semantic embedding for zero-shot recognition
Published in Signal processing. Image communication (01-07-2023)“…We present a novel zero-shot learning (ZSL) method that concentrates on strengthening the discriminative visual information of the semantic embedding space for…”
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A Semi-Handcrafted Keypoint Detector with Discriminative Feature Encoding
Published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (23-05-2022)“…Most previous handcrafted keypoint methods focus on designing specific structural patterns using human-defined knowledge. These methods, however, ignore the…”
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Conference Proceeding -
10
Semantic-aware visual attributes learning for zero-shot recognition
Published in Journal of visual communication and image representation (01-01-2021)“…Zero-shot learning (ZSL) aims to recognize unseen image classes without requiring any training samples of these specific classes. The ZSL problem is typically…”
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Grayscale-inversion and rotation invariant image description with sorted LBP features
Published in Signal processing. Image communication (01-11-2021)“…Local binary pattern (LBP) is sensitive to inverse grayscale changes. To overcome this problem, several methods map each LBP code and its complement to the…”
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Improving temperature management and retaining quality of fresh-cut leafy greens by retrofitting open refrigerated retail display cases with doors
Published in Journal of food engineering (01-03-2021)“…Open refrigerated display cases in supermarkets are prevalent in the United States despite being prone to temperature fluctuations. We collaborated with a…”
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Independent Moving Object Detection Based on a Vehicle Mounted Binocular Camera
Published in IEEE sensors journal (15-05-2021)“…Accurate detection of independent moving objects is the key to ensure the safety of driverless vehicles during travelling. In this study, a moving object…”
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Temperature profiling of open- and closed-doored produce cases in retail grocery stores
Published in Food control (01-07-2020)“…Temperature control of produce in the retail environment is essential to reduce food safety risks, maintain quality, and reduce food waste. Previous studies…”
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Local–class–shared–topic latent Dirichlet allocation based scene classification
Published in Multimedia tools and applications (01-07-2017)“…In this paper, we propose a hierarchical probabilistic model for scene classification. This model infers the local–class–shared and local–class-specific latent…”
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Feature discovering for image classification via wavelet-like pattern decomposition
Published in Journal of visual communication and image representation (01-10-2016)“…•A feature discovering method based on dictionary learning is proposed.•Representative visual samples can be exploited by the proposed objective.•The…”
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Object co-detection via low-rank and sparse representation dictionary learning
Published in 2013 Visual Communications and Image Processing (VCIP) (01-11-2013)“…In this paper, we exploit an algorithm for detecting the individual objects from multiple images in a weakly supervised manner. Specifically, we treat the…”
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Conference Proceeding -
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Using mid-high level cues to detect salient object
Published in 2014 IEEE International Conference on Multimedia and Expo (ICME) (01-07-2014)“…This paper proposes a novel saliency object detection method by using the mid-level and high-level visual cues. In the mid-level objectness evaluation, we…”
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Conference Proceeding -
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A New Non-rigid Image Registration Algorithm Using the Finite-Element Method
Published in 2010 Second International Workshop on Education Technology and Computer Science (01-03-2010)“…A non-rigid and precise image registration algorithm based on finite element method (FEM) is presented. The algorithm require to model image as the free-form…”
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Conference Proceeding -
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Automatic Sparsity-Aware Recognition for Keypoint Detection
Published in 2020 IEEE International Symposium on Multimedia (ISM) (01-12-2020)“…We present a novel Sparsity-Aware Keypoint detector (SAKD) to localize a set of discriminative keypoints via optimization of group-sparse coding. Unlike most…”
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Conference Proceeding