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標題: Titlebook: Computer Vision – ACCV 2016 Workshops; ACCV 2016 Internatio Chu-Song Chen,Jiwen Lu,Kai-Kuang Ma Conference proceedings 2017 Springer Intern [打印本頁]

作者: KEN    時間: 2025-3-21 19:51
書目名稱Computer Vision – ACCV 2016 Workshops影響因子(影響力)




書目名稱Computer Vision – ACCV 2016 Workshops影響因子(影響力)學(xué)科排名




書目名稱Computer Vision – ACCV 2016 Workshops網(wǎng)絡(luò)公開度




書目名稱Computer Vision – ACCV 2016 Workshops網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision – ACCV 2016 Workshops被引頻次




書目名稱Computer Vision – ACCV 2016 Workshops被引頻次學(xué)科排名




書目名稱Computer Vision – ACCV 2016 Workshops年度引用




書目名稱Computer Vision – ACCV 2016 Workshops年度引用學(xué)科排名




書目名稱Computer Vision – ACCV 2016 Workshops讀者反饋




書目名稱Computer Vision – ACCV 2016 Workshops讀者反饋學(xué)科排名





作者: 牙齒    時間: 2025-3-21 22:09
Brandon J. Sumpio,Aristidis Vevesvision pipeline is suitable for home monitoring in a controlled environment, with calorific expenditure estimates above accuracy levels of commonly used manual estimations via METs. With the dataset released, our work establishes a baseline for future research for this little-explored area of comput
作者: FEAT    時間: 2025-3-22 01:08

作者: 代理人    時間: 2025-3-22 08:24

作者: Anthem    時間: 2025-3-22 10:09
Edwin B. Fisher,Paul Bloch,William Sherlaw?to 0.74?dB over the second-best method. Moreover, experiments on the COFW dataset and a number of real-world images show that the proposed method successfully restores occluded facial regions in the wild even for CCTV quality images.
作者: fixed-joint    時間: 2025-3-22 16:58

作者: fixed-joint    時間: 2025-3-22 17:04
Genetic Determinants of Type 2 Diabeteservention and prior data training. Due to the large variability in the feature values, we assigned the fuzzy membership to these features instead of hard thresholding to reduce classification errors. Simulation carried out with available dataset, show that smoke is accurately localized both in time and space via proposed approach.
作者: 善于騙人    時間: 2025-3-22 22:39
Cameron M. Akbari MD, MBA, FACS adaptive parameters to address these problems. We generalize key features that affect SR methods’ applicability of implementation on hardware and show NLM is fit for hardware implementation. The experimental results validate the proposed algorithm.
作者: 艱苦地移動    時間: 2025-3-23 03:37
Thanh Dinh DPM,Aristidis Veves MD, DScce. Then, a self-adaptive .-Laplace variation function is used as the regularization operator while the regularization parameter is adaptively obtained via a barrier function. Finally, experimental results demonstrate the superiority of the proposed method in suppressing noise and preserving fine details.
作者: epicondylitis    時間: 2025-3-23 08:37
Model and Dictionary Guided Face Inpainting in the Wild?to 0.74?dB over the second-best method. Moreover, experiments on the COFW dataset and a number of real-world images show that the proposed method successfully restores occluded facial regions in the wild even for CCTV quality images.
作者: Inveterate    時間: 2025-3-23 11:18
Debluring Low-Resolution Imagesuations against the state-of-the-art methods show that the proposed algorithm performs favorably in deblurring low-resolution images. Furthermore, we show that the SR results obtained as byproducts in our method are comparable compared to other blind SR methods.
作者: 安心地散步    時間: 2025-3-23 17:10

作者: depreciate    時間: 2025-3-23 18:26
Video Super Resolution Using Non-Local Means with Adaptive Decaying Factor and Searching Window adaptive parameters to address these problems. We generalize key features that affect SR methods’ applicability of implementation on hardware and show NLM is fit for hardware implementation. The experimental results validate the proposed algorithm.
作者: GLADE    時間: 2025-3-23 22:11
A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noisece. Then, a self-adaptive .-Laplace variation function is used as the regularization operator while the regularization parameter is adaptively obtained via a barrier function. Finally, experimental results demonstrate the superiority of the proposed method in suppressing noise and preserving fine details.
作者: Antagonist    時間: 2025-3-24 03:28
Blind Image Deblurring Using Elastic-Net Based Rank Priorlve the proposed model. The proposed method does not require any complex filtering strategies to select salient edges which are critical to the state-of-the-art deblurring algorithms. Quantitative and qualitative experimental evaluations demonstrate that the proposed algorithm performs favorably against the state-of-the-art deblurring methods.
作者: Asparagus    時間: 2025-3-24 09:29

作者: 殺子女者    時間: 2025-3-24 11:22
Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Graetails and edge information of nature image to some extent. The joint perspective exploits the complementary advantages of external and internal gradient prior knowledge for reconstructing the HR image. The experimental results demonstrate the effectiveness of our approach over several state-of-art SISR methods.
作者: BARGE    時間: 2025-3-24 18:21

作者: anchor    時間: 2025-3-24 20:48
https://doi.org/10.1007/978-1-61779-791-0ontaining human beings. Experiment results show that the proposed method outperforms the state-of-the-art method by at most 12.7% of bit-rate savings for compressing photo albums with humans. Comparing with traditional JPEG compression, the proposed method achieves 70% to 85% of bit-rate savings.
作者: ALLEY    時間: 2025-3-24 23:13
Imaging of Infection in the Diabetic Footetails and edge information of nature image to some extent. The joint perspective exploits the complementary advantages of external and internal gradient prior knowledge for reconstructing the HR image. The experimental results demonstrate the effectiveness of our approach over several state-of-art SISR methods.
作者: LAY    時間: 2025-3-25 03:26
0302-9743 papers presented at 17 workshops held in conjunction with the 13th Asian Conference on Computer Vision, ACCV 2016, in Taipei, Taiwan in November 2016. The 134 full papers presented were selected from 223 submissions. LNCS 10116 contains the papers selected?978-3-319-54406-9978-3-319-54407-6Series IS
作者: 刀鋒    時間: 2025-3-25 10:14
Conference proceedings 2017njunction with the 13th Asian Conference on Computer Vision, ACCV 2016, in Taipei, Taiwan in November 2016. The 134 full papers presented were selected from 223 submissions. LNCS 10116 contains the papers selected?
作者: ciliary-body    時間: 2025-3-25 12:35

作者: Immobilize    時間: 2025-3-25 16:50

作者: 纖細    時間: 2025-3-25 21:58

作者: Genetics    時間: 2025-3-26 02:31
https://doi.org/10.1007/978-3-030-11815-0d in the low-rank recovery process. Furthermore, we propose an efficient algorithm based on the method of Alternating Direction Method of Multipliers (ADMM) for the non-convex optimization problem. The extensive experiments on the artificial data sets and real image data sets show the superiority of our method in image alignment and denoising.
作者: Nonconformist    時間: 2025-3-26 07:45
Neuropeptides and Diabetic Wound-Healinghitecture to address both image denoising and single image super-resolution. Our 3DCF method achieves substantial improvements (0.1?dB–0.4?dB PSNR) over the state-of-the-art methods that it fuses on standard benchmarks for both tasks. At the same time, the method still is computationally efficient.
作者: 不自然    時間: 2025-3-26 09:20

作者: 貨物    時間: 2025-3-26 16:39
Mary G. Hochman,Caitlin Connollyicits of AD patients. This work uses novel EEG features based on quaternions, facial landmarks and the combination of them. Their performance was evaluated in a comparative study with a state of the art methods that demonstrates the proposed approach.
作者: 腫塊    時間: 2025-3-26 20:35
Single Image Dehazing Using Fixed Points and Nearest-Neighbor Regularizationization to recover a smooth transmission map. Compared with the state-of-the-art single image dehazing methods, the experimental results on some typical and challenged images demonstrate that our method can produce a high-quality dehazed image and recover the fine detail information and vivid color from the image haze regions.
作者: 舊石器時代    時間: 2025-3-27 00:22

作者: 脾氣暴躁的人    時間: 2025-3-27 03:02
CNN-GRNN for Image Sharpness Assessment machine learning, CNN-GRNN fuses feature extraction and score prediction into an optimization procedure. Experiments on Gaussian blurring images in LIVE, CSIQ, TID2008 and TID2013 show that CNN-GRNN outperforms the state-of-the-art algorithms and gets closer to human subjective judgment.
作者: MAUVE    時間: 2025-3-27 05:55

作者: diathermy    時間: 2025-3-27 11:23

作者: intimate    時間: 2025-3-27 16:25
A Study of Combining Re-coloring and Adding Patterns to Images for Dichromatso add patterns according to the degree of deformation, and then re-color images overlaid with patterns. In the evaluation, we verify effectiveness of combining adding patterns and re-coloring, and demonstrate content-dependent characteristics through the studies based on different types of images and different types of patterns.
作者: ICLE    時間: 2025-3-27 20:01
Emotion Understanding Using Multimodal Information Based on Autobiographical Memories for Alzheimer’icits of AD patients. This work uses novel EEG features based on quaternions, facial landmarks and the combination of them. Their performance was evaluated in a comparative study with a state of the art methods that demonstrates the proposed approach.
作者: 招募    時間: 2025-3-28 00:29
Blind Image Deblurring Using Elastic-Net Based Rank Priorelastic-net regularization of singular values. We quantitatively verify that it favors clear images over blurred images. This property is able to facilitate the kernel estimation in the conventional maximum a posterior framework. Based on this prior, we develop an efficient optimization method to so
作者: indubitable    時間: 2025-3-28 03:57

作者: precede    時間: 2025-3-28 09:31

作者: 取回    時間: 2025-3-28 11:19
CNN-GRNN for Image Sharpness AssessmentSA) is useful and challenging. In this paper, a shallow convolutional neural network (CNN) is proposed for intrinsic representation of image sharpness and general regression neural network (GRNN) is utilized for precise score prediction. The hybrid CNN-GRNN model tends to build functional relationsh
作者: neolith    時間: 2025-3-28 17:33

作者: flaunt    時間: 2025-3-28 18:48
Patch Group Based Bayesian Learning for Blind Image Denoising distribution is usually unknown and is more complex, making image denoising still a challenging problem. In this paper, we propose a novel blind image denoising method under the Bayesian learning framework, which automatically performs noise inference and reconstructs the latent clean image. By uti
作者: 開始從未    時間: 2025-3-29 02:33

作者: BOLT    時間: 2025-3-29 03:11

作者: 共同確定為確    時間: 2025-3-29 10:48
Visual Smoke Detectionrly fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke. Further analysis of past history of smoke increases the accuracy of the algorithm. These features are less complex and
作者: Anticoagulants    時間: 2025-3-29 14:05
Local Feature-Based Photo Album Compression by Eliminating Redundancy of Human Partition save the storage spaces. Recently, an advance technique of photo album compression via video compression is proposed which utilizes the similarity between photos to improve the compression performance. In this paper, we modify the original scheme to improve the compression performance when photos c
作者: 異常    時間: 2025-3-29 17:21

作者: UNT    時間: 2025-3-29 22:58

作者: harbinger    時間: 2025-3-30 02:10

作者: padding    時間: 2025-3-30 06:03
A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise the ill-posed image denoising problems with an approximate well-posed one. However, the sole constraint in non-adaptive regularization methods is harmful to a good balance between the noise-removing and detail-preserving. Meanwhile, most existing adaptive regularization methods were aimed at unitar
作者: 是限制    時間: 2025-3-30 12:08

作者: 地牢    時間: 2025-3-30 13:09
Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home measurements and applied to daily living scenarios. Deriving a person’s energy expenditure from sensors is an important tool in tracking physical activity levels for health and lifestyle monitoring. Most existing methods use metabolic lookup tables?(METs) for a manual estimate or systems with inert
作者: 殺蟲劑    時間: 2025-3-30 19:32

作者: Negotiate    時間: 2025-3-31 00:20

作者: cathartic    時間: 2025-3-31 04:41

作者: Nomadic    時間: 2025-3-31 08:30

作者: Hemiplegia    時間: 2025-3-31 11:32
Chu-Song Chen,Jiwen Lu,Kai-Kuang MaIncludes supplementary material:
作者: negotiable    時間: 2025-3-31 13:49
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234119.jpg
作者: backdrop    時間: 2025-3-31 18:32

作者: 刻苦讀書    時間: 2025-4-1 01:03
Juan Antonio Paniagua,Antonio Vidal-Puigor multiple images, is a crucial task in image and video processing, which is quite challenging because the number of freedoms is lager than the number of observations. In this paper, we propose a novel method to reduce the block artifacts and halos for single image dehazing, which replaces the wide
作者: Bumble    時間: 2025-4-1 05:55
https://doi.org/10.1007/978-3-031-25519-9nd the cause is the commonly used .-norm coefficients transition term. In this paper, we propose a robust .-norm solution by introducing two sub-terms: . and ., which are able to prevent the noise transmission from noisy input to output. By incorporating our simple yet effective non-linear model ins




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