派博傳思國際中心

標(biāo)題: Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi [打印本頁]

作者: Falter    時(shí)間: 2025-3-21 16:35
書目名稱Computer Vision and Image Processing影響因子(影響力)




書目名稱Computer Vision and Image Processing影響因子(影響力)學(xué)科排名




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision and Image Processing被引頻次




書目名稱Computer Vision and Image Processing被引頻次學(xué)科排名




書目名稱Computer Vision and Image Processing年度引用




書目名稱Computer Vision and Image Processing年度引用學(xué)科排名




書目名稱Computer Vision and Image Processing讀者反饋




書目名稱Computer Vision and Image Processing讀者反饋學(xué)科排名





作者: Fecundity    時(shí)間: 2025-3-21 21:34

作者: NAIVE    時(shí)間: 2025-3-22 04:07

作者: 思考才皺眉    時(shí)間: 2025-3-22 06:46
978-3-031-58180-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: medieval    時(shí)間: 2025-3-22 09:16
Brian Steele,John Chandler,Swarna Reddy by the selfie apps, face recognition becomes more challenging with existing approaches. We develop a challenging Wild Selfie Dataset (WSD) where the images are captured from the selfie cameras of different smart phones. The WSD dataset contains 45,424 images from 42 individuals (i.e., 24 female and
作者: 相信    時(shí)間: 2025-3-22 16:05

作者: 相信    時(shí)間: 2025-3-22 18:22

作者: mastopexy    時(shí)間: 2025-3-22 23:02
Nearest Neighbor Queries over Encrypted Dataipulation of ECG signals can result in inaccurate diagnosis or treatment because these signals are crucial for identifying and monitoring cardiovascular illnesses. Also, these signals are frequently sent via the internet, raising the possibility of unwanted access and manipulation. Hence, ECG signal
作者: interrupt    時(shí)間: 2025-3-23 04:08
https://doi.org/10.1007/978-3-030-58896-0s provide better image understanding and interpretation of features. Because the number of NIR-RGB paired datasets is limited and often unavailable, a method to convert a given NIR image to an RGB image is highly desirable. The present work proposes an unsupervised image to image translation techniq
作者: 乏味    時(shí)間: 2025-3-23 06:06
Range Queries over Encrypted Datag cracks for distress analysis in challenging background scenarios is a difficult task as there is no clear boundary that separates cracks from the background. Some of the other perceptually noted challenges with the images are variations in color, intensity, depth, blur, motion-blur, orientation, r
作者: absorbed    時(shí)間: 2025-3-23 10:26

作者: 攀登    時(shí)間: 2025-3-23 15:20

作者: 粗魯?shù)娜?nbsp;   時(shí)間: 2025-3-23 18:55
https://doi.org/10.1007/978-3-662-57970-1aintaining the security of biometric data are two challenging tasks. Existing methods, in general, use direct application of biometric templates, which can reveal the user’s biometric data and thus useless for future applications once it is compromised. To address this issue, researchers advocate mu
作者: 夸張    時(shí)間: 2025-3-24 01:40
Algorithms for Next Generation Networks efficient representation with which walking patterns i.e., gait can be disentangled from the visual appearance of the subjects caused by covariate factors such as variation in view angles, clothing and carrying conditions. Since dynamic areas contain the most informative part of the human gait and
作者: 挑剔為人    時(shí)間: 2025-3-24 03:17
Algorithms for Next Generation Networksng, where accurate and interpretable machine learning models are crucial for effective diagnosis and treatment planning. Grad-CAM is a baseline that highlights the most critical regions of an image used in a deep learning model’s decision-making process, increasing interpretability and trust in the
作者: 整潔    時(shí)間: 2025-3-24 09:38

作者: LIMIT    時(shí)間: 2025-3-24 13:00
Géraldine Jean,Andreea Radulescu,Irena Rusu learning-based approaches have been proposed to mitigate the effect of haze and generate haze-free images. Many conventional methods are constrained by their lack of awareness regarding scene depth and their incapacity to capture long-range dependencies. In this paper, a method that uses residual l
作者: Dissonance    時(shí)間: 2025-3-24 16:29
Searching and Indexing Circular Patternsr by exchanging intermediate updates over multiple rounds of communication. However, this approach requires many communication rounds for the central model to learn data generalization. Each local model updates the central model parameters in different directions of the multi-dimensional parameter s
作者: jaundiced    時(shí)間: 2025-3-24 20:02
David Weese,Marcel H. Schulz,Hugues Richardntrol systems. However, despite the advancement of security systems, human monitoring and involvement are still necessary to effectively combat these crimes. This paper provides a robust automated handgun identification technique for recorded videos and live CCTV footage that may be used for both co
作者: Infant    時(shí)間: 2025-3-25 02:51

作者: 睨視    時(shí)間: 2025-3-25 04:09

作者: Monolithic    時(shí)間: 2025-3-25 10:20

作者: 軍械庫    時(shí)間: 2025-3-25 15:41

作者: synovial-joint    時(shí)間: 2025-3-25 19:18
Conference proceedings 2024sion and Image Processing, CVIP 2023, held in Jammu, India, during November 3–5, 2023.?..?..The 140 revised full papers presented in these proceedings were carefully reviewed and selected from?461?submissions.?The papers focus on?various important and emerging topics in image processing, computer vi
作者: 災(zāi)禍    時(shí)間: 2025-3-25 22:18

作者: epidermis    時(shí)間: 2025-3-26 02:39
1865-0929 roceedings were carefully reviewed and selected from?461?submissions.?The papers focus on?various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain..978-3-031-58180-9978-3-031-58181-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: Gnrh670    時(shí)間: 2025-3-26 05:41
Publications of the Scuola Normale Superioreleverage the state-of-the-art quality and its rich semantic extended latent space. Extensive experiments suggest that the proposed method successfully disentangles identity and attribute features and outperforms many state-of-the-art face swapping methods, both qualitatively and quantitatively.
作者: 借喻    時(shí)間: 2025-3-26 09:11
1865-0929 omputer Vision and Image Processing, CVIP 2023, held in Jammu, India, during November 3–5, 2023.?..?..The 140 revised full papers presented in these proceedings were carefully reviewed and selected from?461?submissions.?The papers focus on?various important and emerging topics in image processing, c
作者: Dedication    時(shí)間: 2025-3-26 15:40
https://doi.org/10.1007/978-3-030-58896-0e shown approximately 57% improvement in terms of Fréchet inception distance (FID) with reduced training time and less memory usage. Finally, a thorough comparative study based on different datasets is carried out to confirm superiority over leading colorization approaches in qualitative and quantitative assessments.
作者: Pillory    時(shí)間: 2025-3-26 19:42

作者: 模范    時(shí)間: 2025-3-27 00:10
Near-Infrared Image Colorization Using Unsupervised Contrastive Learning,e shown approximately 57% improvement in terms of Fréchet inception distance (FID) with reduced training time and less memory usage. Finally, a thorough comparative study based on different datasets is carried out to confirm superiority over leading colorization approaches in qualitative and quantitative assessments.
作者: Mindfulness    時(shí)間: 2025-3-27 02:08
,Cross View and?Cross Walking Gait Recognition Using a?Convolutional Neural Network,tion. The learned gait features from CNN are then fed into a K-NN classifier to identify individuals based on their unique gait patterns. Experiments are carried out for cross-view and cross-walking gait recognition using the CASIA-B dataset. Our experimental results demonstrate the effectiveness of the proposed method.
作者: 閑蕩    時(shí)間: 2025-3-27 08:58

作者: SSRIS    時(shí)間: 2025-3-27 10:31

作者: 表示向前    時(shí)間: 2025-3-27 17:05
Agarwal-Cooley Convolution Algorithm,in the network. In essence, this study intends to improve the way medical images are shared across various stakeholders in a healthcare ecosystem and aims to provide a safe and secure model for the same using a combination of blockchain and image steganography.
作者: depreciate    時(shí)間: 2025-3-27 20:20

作者: Melanocytes    時(shí)間: 2025-3-27 22:30
Unilateral quadratic matrix equationsltrasound volume reconstruction and demonstrate its efficacy with an . tube phantom study and an . bone experiment. The comparison between a sensorless freehand and the proposed mechanical track based acquisition is available online (.).
作者: 門閂    時(shí)間: 2025-3-28 05:12
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity, approach improves detectability and significantly reduces false positives and negatives. We have measured the performance of our algorithm objectively in terms of mean intersection over union (mIoU) and subjectively in terms of perceptual quality.
作者: 改變立場    時(shí)間: 2025-3-28 09:48

作者: 招募    時(shí)間: 2025-3-28 14:06
,Is Grad-CAM Explainable in?Medical Images?,ications of Grad-CAM. The findings highlight the potential of Explainable Deep Learning and Grad-CAM in improving the accuracy and interpretability of deep learning models in medical imaging. The code is available in (.).
作者: 長矛    時(shí)間: 2025-3-28 15:49
A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanicalltrasound volume reconstruction and demonstrate its efficacy with an . tube phantom study and an . bone experiment. The comparison between a sensorless freehand and the proposed mechanical track based acquisition is available online (.).
作者: cliche    時(shí)間: 2025-3-28 21:48
,WSD: Wild Selfie Dataset for?Face Recognition in?Selfie Images,n, and alignment. We compare the proposed dataset with existing benchmark datasets in terms of different characteristics. The complexity of WSD dataset is also observed experimentally as compared to the existing face datasets. The dataset can be obtained from ..
作者: 同來核對    時(shí)間: 2025-3-29 00:50
PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning,correctness of the pose by comparing the extracted key points and give feedback to students if any corrections need to be made. The proposed model is trained with 40+ yoga and exercise poses, and evaluated the model’s performance with the mAP, and the model achieved an accuracy of 99.04%. The result
作者: 誰在削木頭    時(shí)間: 2025-3-29 07:04

作者: AVOID    時(shí)間: 2025-3-29 10:35

作者: Finasteride    時(shí)間: 2025-3-29 13:28
Enhanced On-Device Video Summarization Using Audio and Visual Features,nts and one has to leverage the resources wisely. In this paper, we present a novel approach which demonstrates a different method to make use of audio features along with visual cues in video summarization. The proposed approach uses different models for inferencing from audio and visual features a
作者: 要素    時(shí)間: 2025-3-29 19:12
,Fractal-Based Approach to?Secure Key Generation from?Fingerprint and?Iris Biometrics,egions of interest (ROIs) in fingerprint and iris images. The feature vectors from two modalities are then fused to form a single feature vector. A quantization mechanism is applied to generate a stable and unique key. The efficacy of the proposed method was evaluated through a number of experiments
作者: bacteria    時(shí)間: 2025-3-29 21:53
,Histogram Matching Based Data-Augmentation and?Its Impact on?CNN Model for?Covid-19 and?Pneumonia DCovid-Lite model respectively, after employing the proposed augmented dataset. Furthermore, we have implemented a popular CNN model i.e., VGG-16 and by the proposed data-augmentation we have achieved the best results of 95% accuracy, 96% F1 score, 96% precision and 96% recall.
作者: periodontitis    時(shí)間: 2025-3-30 03:36

作者: 描述    時(shí)間: 2025-3-30 07:57

作者: 放氣    時(shí)間: 2025-3-30 11:51

作者: NOTCH    時(shí)間: 2025-3-30 14:59
YOLORe-IDNet: An Efficient Multi-camera System for Person-Tracking, It is computationally efficient and achieves a high F1-Score of 79% and an IOU of 59% comparable to existing state-of-the-art algorithms, as demonstrated in our evaluation on a publicly available OTB-100 dataset. The proposed system offers a robust and efficient solution for the real-time tracking
作者: MINT    時(shí)間: 2025-3-30 20:00

作者: LASH    時(shí)間: 2025-3-30 21:09

作者: 磨碎    時(shí)間: 2025-3-31 04:10

作者: Trigger-Point    時(shí)間: 2025-3-31 06:25

作者: cliche    時(shí)間: 2025-3-31 09:38

作者: 教義    時(shí)間: 2025-3-31 13:24
Algorithms for Functional Programmingnts and one has to leverage the resources wisely. In this paper, we present a novel approach which demonstrates a different method to make use of audio features along with visual cues in video summarization. The proposed approach uses different models for inferencing from audio and visual features a
作者: ELATE    時(shí)間: 2025-3-31 20:39

作者: invulnerable    時(shí)間: 2025-4-1 00:45
Marina Thottan,Guanglei Liu,Chuanyi JiCovid-Lite model respectively, after employing the proposed augmented dataset. Furthermore, we have implemented a popular CNN model i.e., VGG-16 and by the proposed data-augmentation we have achieved the best results of 95% accuracy, 96% F1 score, 96% precision and 96% recall.
作者: 芭蕾舞女演員    時(shí)間: 2025-4-1 05:27

作者: 包庇    時(shí)間: 2025-4-1 09:53
Searching and Indexing Circular Patternsach is tested on MNIST digit datasets for image classification. It shows a reduction of 10–15 communication rounds required by the central model to achieve target accuracy for both IID and non-IID distributions. In the scope of the study, we also discovered that clustering clients and training them
作者: ETCH    時(shí)間: 2025-4-1 11:44

作者: 蛛絲    時(shí)間: 2025-4-1 17:12

作者: insert    時(shí)間: 2025-4-1 19:42
An effective matrix geometric meanopyright protection and integrity verification into a single scheme. This paper proposes a method for detecting and recovering from image tampering using self-embedding dual watermarking. The dual watermarking is implemented by using NSST and SVD transforms to conceal one watermark image into the ot




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