In the field of affective computing, fully leveraging information from a variety of sensory modalities is essential for the comprehensive understanding and processing of human emotions. Inspired by the process through which the human brain handles ...

Tropical cyclone (TC) intensity estimation from satellite images is the very first and critical step of making TC forecasts, whose SOTA performance is achieved by methods built upon CNN based regression models. Unlike discriminative models trained ...

Carrier-to-noise ratio ($C/N_0$) represents the ratio of signal power and noise power density, and it is of great significance in many applications of Global Navigation Satellite System (GNSS), such as satellite signal quality monitoring, spoofing ...${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$

Supervised contrastive learning has shown promising results in image classification tasks where the representations are pulled together if they share same labels or otherwise pushed apart. Such dispersion process in the representation space ...

Given the increasing number of spoofing attacks, keeping global navigation satellite system transmissions secure has recently become a focus. Many approaches have been proposed to defend against spoofing. Typical antispoofing methods against a ...

Consensus algorithm is the core of blockchain and it plays a crucial role in the performance of the blockchain. In general, there are two types of blockchain consensus algorithms: the Bitcoin-like Nakamoto consensus (NC) algorithms and the Byzantine ...

No-reference image quality assessment (NR-IQA) aims to develop models that can predict the quality of distorted image automatically and accurately in the absent of reference image. Previous NR-IQA methods based on natural scene ...

• The significant of spatial correlation of pixels for quality evaluation is analyzed.

Characterizing subtle facial movements from videos is one of the most intensive topics in computer vision research. It is, however, challenging, since (1) the intensity of subtle facial muscle movement is usually low, (2) the duration may be transient, ...

No-reference image quality assessment (NR-IQA) aims to develop models that can predict the quality of distorted image automatically and accurately without the reference. Lack of reference makes NR-IQA based on feature learning difficult to avoid ...

Background subtraction is a key step in a wide spectrum of video applications, such as object tracking and human behavior analysis. Compressive sensing-based methods, which make little specific assumptions about the background, have recently attracted ...

Existing blind image quality assessment (BIQA) methods based on statistics attach limited attention to the relative position of pixels. Features in these BIQA methods are too flimsy to characterize quite a few distortions with strong locality or ...

Group sparsity has shown great potential in various low-level vision tasks (e.g, image denoising, deblurring and inpainting). In this paper, we propose a new prior model for image denoising via group sparsity residual constraint (GSRC). To enhance the ...

Foggy weather brings lots of inconvenience for outdoor safety surveillance in the densely populated school education area. Research on image and video dehazing is able to solve this problem. Most existing methods recover the haze-free scenes relying on ...

In this paper we describe an early version of our system which synthesizes 3D visual speech including tongue and teeth from frontal facial image sequences. This system is developed for 3D Visual Speech Animation (VSA) using images generated by an ...

In this paper we describe the first version of our system for estimating 3D shape sequences from images of the frontal face. This approach is developed with 3D Visual Speech Animation (VSA) as the target application. In particular, the focus is on the ...

The problem of visual speech recognition involves the decoding of the video dynamics of a talking mouth in a high-dimensional visual space. In this paper, we propose a generative latent variable model to provide a compact representation of visual speech ...

Video texture synthesis is the process of providing a continuous and infinitely varying stream of frames, which plays an important role in computer vision and graphics. However, it still remains a challenging problem to generate high-quality synthesis ...

An image-based visual speech animation system is presented in this paper. A video model is proposed to preserve the video dynamics of a talking face. The model represents a video sequence by a low-dimensional continuous curve embedded in a path graph ...

A practical lipreading system can be considered either as subject dependent (SD) or subject-independent (SI). An SD system is user-specific, i.e., customized for some particular user while an SI system has to cope with a large number of users. These two ...

This paper presents a visually realistic animation system for synthesizing a talking mouth. Video synthesis is achieved by first learning generative models from the recorded speech videos and then using the learned models to generate videos for novel ...