| 1. |
- Ge, Qi, et al.
(författare)
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Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal
- 2017
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Ingår i: IEEE Transactions on Image Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1057-7149 .- 1941-0042. ; 26:7, s. 3098-3112
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Tidskriftsartikel (refereegranskat)abstract
- Nonlocal image representation methods, including group-based sparse coding and block-matching 3-D filtering, have shown their great performance in application to low-level tasks. The nonlocal prior is extracted from each group consisting of patches with similar intensities. Grouping patches based on intensity similarity, however, gives rise to disturbance and inaccuracy in estimation of the true images. To address this problem, we propose a structure-based low-rank model with graph nuclear norm regularization. We exploit the local manifold structure inside a patch and group the patches by the distance metric of manifold structure. With the manifold structure information, a graph nuclear norm regularization is established and incorporated into a low-rank approximation model. We then prove that the graph-based regularization is equivalent to a weighted nuclear norm and the proposed model can be solved by a weighted singular-value thresholding algorithm. Extensive experiments on additive white Gaussian noise removal and mixed noise removal demonstrate that the proposed method achieves a better performance than several state-of-the-art algorithms.
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| 2. |
- Hu, Hongbo, et al.
(författare)
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Otud7b facilitates T cell activation and inflammatory responses by regulating Zap70 ubiquitination
- 2016
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Ingår i: Journal of Experimental Medicine. - : ROCKEFELLER UNIV PRESS. - 0022-1007 .- 1540-9538. ; 213:3, s. 399-414
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Tidskriftsartikel (refereegranskat)abstract
- Signal transduction from the T cell receptor (TCR) is crucial for T cell-mediated immune responses and, when deregulated, also contributes to the development of autoimmunity. How TCR signaling is regulated is incompletely understood. In this study, we demonstrate a ubiquitin-dependent mechanism in which the deubiquitinase Otud7b has a crucial role in facilitating TCR signaling. Upon TCR ligation, Otud7b is rapidly recruited to the tyrosine kinase Zap70, a central mediator of TCR-proximal signaling. Otud7b deficiency attenuates the activation of Zap70 and its downstream pathways and impairs T cell activation and differentiation, rendering mice refractory to T cell-mediated autoimmune and inflammatory responses. Otud7b facilitated Zap70 activation by deubiquitinating Zap70, thus preventing the association of Zap70 with the negative-regulatory phosphatases Sts1 and Sts2. These findings establish Otud7b as a positive regulator of TCR-proximal signaling and T cell activation, highlighting the importance of deubiquitination in regulating Zap70 function.
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| 3. |
- Kristanl, Matej, et al.
(författare)
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The Seventh Visual Object Tracking VOT2019 Challenge Results
- 2019
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Ingår i: 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - : IEEE COMPUTER SOC. - 9781728150239 ; , s. 2206-2241
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Konferensbidrag (refereegranskat)abstract
- The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website(1).
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| 4. |
- Shao, Wen-Ze, et al.
(författare)
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Motion Deblurring Using Non-stationary Image Modeling
- 2015
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Ingår i: Journal of Mathematical Imaging and Vision. - : Springer Science and Business Media LLC. - 0924-9907 .- 1573-7683. ; 52:2, s. 234-248
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Tidskriftsartikel (refereegranskat)abstract
- It is well-known that shaken cameras or mobile phones during exposure usually lead to motion blurry photographs. Therefore, camera shake deblurring or motion deblurring is required and requested in many practical scenarios. The contribution of this paper is the proposal of a simple yet effective approach for motion blur kernel estimation, i.e., blind motion deblurring. Though there have been proposed severalmethods formotion blur kernel estimation in the literature, we impose a type of non-stationary Gaussian prior on the gradient fields of sharp images, in order to automatically detect and purse the salient edges of images as the important clues to blur kernel estimation. On one hand, the prior is able to promote sparsity inherited in the non-stationarity of the precision parameters (inverse of variances). On the other hand, since the prior is in a Gaussian form, there exists a great possibility of deducing a conceptually simple and computationally tractable inference scheme. Specifically, the well-known expectation-maximization algorithm is used to alternatingly estimate the motion blur kernels, the salient edges of images as well as the precision parameters in the image prior. In difference from many existing methods, no hyperpriors are imposed on any parameters in this paper; there are not any pre-processing steps involved in the proposed method, either, such as explicit suppression of random noise or prediction of salient edge structures. With estimated motion blur kernels, the deblurred images are finally generated using an off-the-shelf non-blind deconvolution method proposed by Krishnan and Fergus (Adv Neural Inf Process Syst 22:1033-1041, 2009). The rationality and effectiveness of our proposed method have been well demonstrated by the experimental results on both synthetic and realistic motion blurry images, showing state-of-the-art blind motion deblurring performance of the proposed approach in the term of quantitative metric as well as visual perception.
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| 5. |
- Tao, Bairui, et al.
(författare)
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Three-dimensional graphene nanosheets supported by NiO/Si-MCP as electrode materials for high-performance supercapacitors
- 2017
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Ingår i: Ionics (Kiel). - : Springer Science and Business Media LLC. - 0947-7047 .- 1862-0760. ; 23:8, s. 2185-2191
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Tidskriftsartikel (refereegranskat)abstract
- A three-dimensional (3D) graphene/NiO/Si-microchannel (MCP) composite electrode is synthesized by the conventional microelectronic machining process and electrochemical exfoliation technology for electrochemical capacitors. SEM, AFM, and Raman scattering are used to investigate the morphology and structure, and electrochemical characterization reveals that the 3D graphene/NiO/Si-MCP has a high specific capacitance of 833 Fg-1 at a current density of 5 Ag-1 in 6 mol L-1 KOH. Moreover, good cycling performance with 92% capacitance retention after 1000 cycles is observed indicating the novel electrode has large potential in high-performance supercapacitors.
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| 6. |
- Yu, Guangsen, et al.
(författare)
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Fabrication of Nickel-YSZ cermet nanofibers via electrospinning
- 2017
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Ingår i: Journal of Alloys and Compounds. - : Elsevier BV. - 0925-8388. ; 693, s. 1214-1219
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Tidskriftsartikel (refereegranskat)abstract
- Abstract The Ni-YSZ cerment as a promising anode for solid oxide fuel cells and its performance strongly depends on its miscrocture. This work focused on fabrication of Ni-8YSZ nanofibers via an electrospinning technique using yttria and zirconia nanoparticles as precussors. The effects of viscosity on the quality of fibers were assessed by adjusting the polymer and solid contents in slurry. The fibers sintered at different temperatures showed varying morphologies and a bead-like chain at temperatures higher than 800 °C was obtained. Crystalization of the YSZ was completed above 1400 °C and NiO was above 800 °C. The porosity of the fiber structure can reach high up to 45% before NiO reducation. The nanocrystallization of an anode for SOFCs was beneficial to enhance the electrochemical reaction sites and also to reduce the difficulties for gas diffusion.
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