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Recently Added 

  1. Transpiration-inspired Capillary for Synchronous Synthesis and Patterning of Silver Nanoparticles 

    Chen, Bingda; Zhang, Zelong; Su, Meng; et al. (2023)
    CHEMICAL RESEARCH IN CHINESE UNIVERSITIES
    Traditional synthesis strategy of nanomaterials with complicated process and high cost limits their applications. Here, we propose a facile process for the synchronous synthesis and patterning of silver nanoparticles(Ag NPs) through the self-driven microchannel reactor with the capillary effect inspired by transpiration. The evaporation contributes to capillary and accumulation effects in the microchannels. The silver reactant-containing ...
    Journal Article
  2. A Coupler Balun Load-Modulated Power Amplifier With Extremely Wide Bandwidth 

    Huang, Tzu-Yuan; Mannem, Naga Sasikanth; Li, Sensen; et al. (2022)
    IEEE Transactions on Microwave Theory and Techniques
    Next-generation millimeter-wave (mm-Wave) power amplifiers (PAs) need to support multistandard communication systems with wide bandwidth, complex modulation, and high energy efficiency. Most existing mm-Wave PA architectures with power backoff (PBO) efficiency enhancement, such as Doherty and outphasing PAs, typically only support limited carrier bandwidth. In this work, we propose and demonstrate that a 180? coupler balun structure can ...
    Journal Article
  3. Dense Gaussian Processes for Few-Shot Segmentation 

    Johnander, Joakim; Edstedt, Johan; Felsberg, Michael; et al. (2022)
    COMPUTER VISION, ECCV 2022, PT XXIX
    Few-shot segmentation is a challenging dense prediction task, which entails segmenting a novel query image given only a small annotated support set. The key problem is thus to design a method that aggregates detailed information from the support set, while being robust to large variations in appearance and context. To this end, we propose a few-shot segmentation method based on dense Gaussian process (GP) regression. Given the support ...
    Conference Paper
  4. Building block properties govern granular hydrogel mechanics through contact deformations 

    Emiroglu, Dilara Borte; Bekcic, Aleksandar; Dranseikiene, Dalia; et al. (2022)
    Science Advances
    Granular hydrogels have been increasingly exploited in biomedical applications, including wound healing and cardiac repair. Despite their utility, design guidelines for engineering their macroscale properties remain limited, as we do not understand how the properties of granular hydrogels emerge from collective interactions of their microgel building blocks. In this work, we related building block features (stiffness and size) to the ...
    Journal Article
  5. An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement 

    Fuoli, Dario; Huang, Zhiwu; Paudel, Danda Pani; et al. (2023)
    International Journal of Computer Vision
    Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the spatio-temporal domain. In practice, these challenges are often coupled with the lack of example pairs, which inhibits the application of supervised learning strategies. To address these challenges, we propose an efficient adversarial video enhancement framework ...
    Journal Article

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