標(biāo)題: Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 [打印本頁] 作者: 驅(qū)逐 時(shí)間: 2025-3-21 20:07
書目名稱Computer Vision影響因子(影響力)
書目名稱Computer Vision影響因子(影響力)學(xué)科排名
書目名稱Computer Vision網(wǎng)絡(luò)公開度
書目名稱Computer Vision網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Vision被引頻次
書目名稱Computer Vision被引頻次學(xué)科排名
書目名稱Computer Vision年度引用
書目名稱Computer Vision年度引用學(xué)科排名
書目名稱Computer Vision讀者反饋
書目名稱Computer Vision讀者反饋學(xué)科排名
作者: Aviary 時(shí)間: 2025-3-21 23:36 作者: 一罵死割除 時(shí)間: 2025-3-22 04:05
Massively Parallel Image Index for Vocabulary Tree Based Image Retrievalibutions include tree structure transformation, image package processing and task parallelism. Our GPU-based image index is up?to around thirty times faster than the original method and the whole GPU-based vocabulary tree algorithm is improved by twenty percentage in speed.作者: exclamation 時(shí)間: 2025-3-22 05:58
Conference proceedings 2017assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection作者: Ferritin 時(shí)間: 2025-3-22 11:52
Jean-Sébastien Coron,Hilder V. L. Pereirause 3D Dense Face Alignment (3DDFA) to obtain a fitted 3D morphable model, which is constrained by matching keypoints. From our experiments, a large pore-to-pore correspondence dataset, including 17,136 classes of matched pore-keypoint pairs, is established.作者: Negligible 時(shí)間: 2025-3-22 13:51 作者: Negligible 時(shí)間: 2025-3-22 17:28
Advances in Cryptology – ASIACRYPT 2020triadic autoencoder with deep architecture is developed for the shared and specific factors learning. Extensive experiments are conducted for cross-modal retrieval and multi-model clustering, which clearly demonstrate the effectiveness of our model.作者: MERIT 時(shí)間: 2025-3-22 22:50
https://doi.org/10.1007/978-3-030-64840-4 an iterative optimizing algorithm is designed. Experimental results on cross-modal retrieval have shown the superiority of UDM over the compared approaches and the rapid convergence speed of the optimizing algorithm.作者: Diverticulitis 時(shí)間: 2025-3-23 03:58 作者: 束縛 時(shí)間: 2025-3-23 07:49 作者: 引起 時(shí)間: 2025-3-23 12:49
Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Featuasets, and real scene dataset which is built by our group show that the proposed feature extraction method obtains the best performance among some state-of-the-art methods. The relevant code and data will be available at ..作者: 掙扎 時(shí)間: 2025-3-23 17:19
Learning Shared and Specific Factors for?Multi-modal Datatriadic autoencoder with deep architecture is developed for the shared and specific factors learning. Extensive experiments are conducted for cross-modal retrieval and multi-model clustering, which clearly demonstrate the effectiveness of our model.作者: 極為憤怒 時(shí)間: 2025-3-23 20:42 作者: cartilage 時(shí)間: 2025-3-23 22:37
An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scannersure dimension is reduced dramatically. To our knowledge, this is the first study using the database collected by commercial shoeprint scanners, and our method obtained a cumulative match score of 88.7% at top 10.作者: 無力更進(jìn) 時(shí)間: 2025-3-24 05:22 作者: Anecdote 時(shí)間: 2025-3-24 07:09
Lecture Notes in Computer Scienceplexity of time that one model can be treated as two models. LMNN is used as a post-processing procedure to improve the discrimination of the combined features. Our experiments show relatively competitive results on LFW, CFP, and CACD datasets.作者: gait-cycle 時(shí)間: 2025-3-24 11:52
Yilei Chen,Nicholas Genise,Pratyay Mukherjeenformation of facial expressions. Finally, the multiclass support vector machine (SVM) with one-versus-one strategy is applied to classify facial expressions. Experimental results on the extended Cohn-Kanade (CK+) and Oulu-CASIA datasets demonstrate the superiority of our proposed method.作者: 引導(dǎo) 時(shí)間: 2025-3-24 16:29
Advances in Cryptology – ASIACRYPT 2019stem also provides flexible functionality and extensions to adopt other biometric recognition algorithm for cross-checking and provides a higher reliability. Experiments show that the proposed system offers a good performance and is robust to face occlusions.作者: 指派 時(shí)間: 2025-3-24 20:20
: (Almost) Free Branching in GMWt. This proposal has been implemented on three widely used benchmark databases and the results evaluated in terms of mean Average Precision (mAP), precision, recall, and .1-measure show that our proposal outperforms the referred state-of-the-art approaches.作者: considerable 時(shí)間: 2025-3-25 01:04
https://doi.org/10.1007/978-3-030-64837-4each view features and the importance of individual feature in each view to boost the feature selection performance. Extensive experiments are performed on two image datasets and the results show the effectiveness of the proposed method SMSFS.作者: 舉止粗野的人 時(shí)間: 2025-3-25 04:17 作者: Commonwealth 時(shí)間: 2025-3-25 07:46 作者: 一條卷發(fā) 時(shí)間: 2025-3-25 14:23
An Efficient System for Partial Occluded Face Recognitionstem also provides flexible functionality and extensions to adopt other biometric recognition algorithm for cross-checking and provides a higher reliability. Experiments show that the proposed system offers a good performance and is robust to face occlusions.作者: LUDE 時(shí)間: 2025-3-25 18:39
Visual Saliency Fusion Based Multi-feature for Semantic Image Retrievalt. This proposal has been implemented on three widely used benchmark databases and the results evaluated in terms of mean Average Precision (mAP), precision, recall, and .1-measure show that our proposal outperforms the referred state-of-the-art approaches.作者: 哭得清醒了 時(shí)間: 2025-3-25 21:06
Structured Multi-view Supervised Feature Selection Algorithm Researcheach view features and the importance of individual feature in each view to boost the feature selection performance. Extensive experiments are performed on two image datasets and the results show the effectiveness of the proposed method SMSFS.作者: 致命 時(shí)間: 2025-3-26 02:09
Shape-Color Differential Moment Invariants Under Affine Transformstransforms. And 50 instances of SCDMIs are obtained. In experiments, several commonly used image descriptors and SCDMIs are used in image classification and retrieval for color image databases, respectively. By comparing the results, we find that SCDMIs get better results.作者: 公司 時(shí)間: 2025-3-26 07:33
Unbounded HIBE with Tight Securityibutions include tree structure transformation, image package processing and task parallelism. Our GPU-based image index is up?to around thirty times faster than the original method and the whole GPU-based vocabulary tree algorithm is improved by twenty percentage in speed.作者: 變形詞 時(shí)間: 2025-3-26 11:42 作者: 組成 時(shí)間: 2025-3-26 16:27 作者: 潛伏期 時(shí)間: 2025-3-26 20:27 作者: VALID 時(shí)間: 2025-3-27 00:07
Ran Canetti,Pratik Sarkar,Xiao Wang criteria, we also developed hierarchical evaluation criteria for image retrieval and classification tasks. The results show that the proposed method improves the accuracy of supervised hashing in both types of criteria.作者: 油氈 時(shí)間: 2025-3-27 04:31 作者: 中和 時(shí)間: 2025-3-27 05:29 作者: 檔案 時(shí)間: 2025-3-27 11:16 作者: Outwit 時(shí)間: 2025-3-27 15:32
Hierarchical Hashing for Image Retrieval criteria, we also developed hierarchical evaluation criteria for image retrieval and classification tasks. The results show that the proposed method improves the accuracy of supervised hashing in both types of criteria.作者: Inordinate 時(shí)間: 2025-3-27 20:00
Uncovering the Effect of Visual Saliency on Image Retrievalems by a learning process. Extensive experiments on a generally used image benchmark demonstrate that the new image retrieval system remarkably outperforms the original one and other traditional ones.作者: cajole 時(shí)間: 2025-3-28 01:39 作者: Preserve 時(shí)間: 2025-3-28 04:37 作者: 輕觸 時(shí)間: 2025-3-28 08:09 作者: 阻礙 時(shí)間: 2025-3-28 12:48 作者: SMART 時(shí)間: 2025-3-28 15:48 作者: 偽書 時(shí)間: 2025-3-28 21:53 作者: 預(yù)示 時(shí)間: 2025-3-29 01:32 作者: saturated-fat 時(shí)間: 2025-3-29 06:06 作者: itinerary 時(shí)間: 2025-3-29 08:16 作者: Platelet 時(shí)間: 2025-3-29 13:05 作者: 愛好 時(shí)間: 2025-3-29 16:49
Visual Saliency Fusion Based Multi-feature for Semantic Image Retrievalnd the output saliency maps were fused by double low rank matrix recovery method. Then the images were segmented into foreground and background according to the fusion result. As the foreground and background had the different impacts on the semantic understanding of the image, different features re作者: 嚴(yán)峻考驗(yàn) 時(shí)間: 2025-3-29 23:30 作者: 曲解 時(shí)間: 2025-3-30 01:40
Structured Multi-view Supervised Feature Selection Algorithm Research multi-view feature selection methods only consider the importance of each view features, but ignore the importance of individual feature in each view in the feature selection progress. In this paper we propose a novel supervised feature selection method based on structured multi-view sparse regular作者: 盡責(zé) 時(shí)間: 2025-3-30 06:14
An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scannersently reported descriptor called neural code. The first step of feature extraction is rotation compensation. Then, shoeprint image is divided into top region and bottom region, and two neural codes for both regions are obtained. Afterwards, a matching score between test image and reference image is 作者: 推延 時(shí)間: 2025-3-30 11:09 作者: 華而不實(shí) 時(shí)間: 2025-3-30 16:14
Shape-Color Differential Moment Invariants Under Affine Transformsr primitive, shape-color differential moment invariants (SCDMIs) can be constructed very easily, which are invariant to shape affine and color affine transforms. And 50 instances of SCDMIs are obtained. In experiments, several commonly used image descriptors and SCDMIs are used in image classificati作者: 易彎曲 時(shí)間: 2025-3-30 17:32
Computer Vision978-981-10-7302-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 四目在模仿 時(shí)間: 2025-3-30 22:31
Lecture Notes in Computer Sciencepresentation methods always lead to high computational complexity. To overcome these shortcomings, in this paper, we propose a novel discriminative projection and representation method for face recognition. This method tries to seek a discriminative representation of the face image on a low-dimensio作者: leniency 時(shí)間: 2025-3-31 02:01
Lecture Notes in Computer Sciencetions, fusion of models and metric learning methods. However, incorporating all these methods obviously takes a lot of time both at training and testing stages. In this paper, we just select training images randomly without any clean and alignment procedure. Then we propose a simple weighted average
