no code implementations • 31 Aug 2023 • Yang Liu, Xiaoyun Zhong, Shiyao Zhai, Zhicheng Du, Zhenyuan Gao, Qiming Huang, Canyang Zhang, Bin Jiang, Vijay Kumar Pandey, Sanyang Han, Runming Wang, Yuxing Han, Peiwu Qin
The vast majority of people who suffer unexpected cardiac arrest are performed cardiopulmonary resuscitation (CPR) by passersby in a desperate attempt to restore life, but endeavors turn out to be fruitless on account of disqualification.
This paper investigates the flocking control of a swarm with a malicious agent that falsifies its controller parameters to cause collision, division, and escape of agents in the swarm.
We applied the recursive approach to a set of images and found that (1) the number of substructures of an image is far lower (3 percent on average) than the number of pixels and the centroids of the substructures can effectively capture the skeleton or saliency of the image; (2) all the images have the recursive levels more than three, indicating that they are indeed living images; (3) no more than 2 percent of the substructures are decomposable; (4) structural beauty can be measured by the recursively defined substructures, as well as their decomposable subsets.
Given a piece of text, a video clip and a reference audio, the movie dubbing (also known as visual voice clone V2C) task aims to generate speeches that match the speaker's emotion presented in the video using the desired speaker voice as reference.
no code implementations • 6 May 2022 • Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.
no code implementations • 14 Feb 2022 • Aditi Deshpande, Nitya Kari, Jordan Elliott McKenzie, Bin Jiang, Patrik Michel, Nima Toosizadeh, Pouya Tahsili Fahadan, Chelsea Kidwell, Max Wintermark, Kaveh Laksari
Conclusion: Altered vessel geometry in AIS patients shows that there is pathological morphology coupled with stroke.
Based on the concept of living structure, this paper develops an approach for computing the structural beauty or life of an image (L) based on the number of automatically derived substructures (S) and their inherent hierarchy (H).
NO scattering from metallic and insulating surfaces represent contrasting benchmark systems for understanding energy transfer at gas-surface interface.
Materials Science Chemical Physics
Many works concentrate on how to reduce language bias which makes models answer questions ignoring visual content and language context.
Reference expression comprehension (REC) aims to find the location that the phrase refer to in a given image.
However, generating personalized responses is still a challenging task since the leverage of predefined persona information is often insufficient.
Aspect-based sentiment analysis (ABSA) aims to determine the sentiment polarity of each specific aspect in a given sentence.
Nonadiabatic effects that arise from the concerted motion of electrons and atoms at comparable energy and time scales are omnipresent in thermal and light-driven chemistry at metal surfaces.
Materials Science Chemical Physics
We use CNN features from the deep and shallow layers of the encoder to represent structures and textures of an input image, respectively.
We present a general-purpose data compression algorithm, Regularized L21 Semi-NonNegative Matrix Factorization (L21 SNF).
However, the two-stage architecture is time-consuming, the contextual information lack high-level semantics and ignores both the semantic relevance and distance information of hole's feature patches, these limitations result in blurry textures and distorted structures of final result.
Recent deep learning based salient object detection methods which utilize both saliency and boundary features have achieved remarkable performance.
Finally, the coarse localization information guides the model to further learn the finer local features and segment out the tampered region.
The core components of CIFReNet are the Long-skip Refinement Module (LRM) and the Multi-scale Context Integration Module (MCIM).
The latest deep learning-based approaches have shown promising results for the challenging task of inpainting missing regions of an image.
Ranked #1 on Image Inpainting on Paris StreetView
This notion of far more small things than large ones constitutes a new fundamental way of thinking for community detection.
Physics and Society Social and Information Networks Adaptation and Self-Organizing Systems
The heavy-tailed distributions are heavily right skewed, with a minority of large values in the head and a majority of small values in the tail, commonly characterized by a power law, a lognormal or an exponential function.
Data Analysis, Statistics and Probability Adaptation and Self-Organizing Systems Physics and Society