To date, most facial expression analysis has been based on visible and posed databases. Visible images, however, are easily affected by illumination variations, while expressions differ in appearance timing from natural ones. In this paper, we propose establish a infrared database, which contains both spontaneous of more than 100 subjects, recorded simultaneously an thermal camera, with provided three different directions. The database includes the apex expressional images without glasses....

Attention mechanism has recently attracted increasing attentions in the field of facial action unit (AU) detection. By finding region interest each AU with attention mechanism, AU-related local features can be captured. Most existing based detection works use prior knowledge to predefine fixed or refine predefined within a small range, which limits their capacity model various AUs. In this paper, we propose an end-to-end deep learning and relation framework for only labels, not been explored...

In multi-label learning, each sample can be assigned to multiple class labels simultaneously. this work, we focus on the problem of learning with missing (MLML), where instead assuming a complete label assignment is provided for sample, only partial are values, while rest or not provided. The positive (presence), negative (absence) and explicitly distinguished in MLML. We formulate MLML as transductive problem, goal recover full by enforcing consistency available assignments smoothness...

Previous studies of speech emotion recognition using either empirical features (e.g., F0, energy, and voice probability) or spectrogram-based statistical features. The can highlight the human knowledge recognition, while enable a general representation, but they do not emphasize sufficiently. However, use these two kinds together complement some that may be unconsciously used by humans in daily life have been realized yet. Based on this consideration, paper proposes dynamic fusion framework...

Creating a large and natural facial expression database is prerequisite for analysis classification. It is, however, not only time consuming but also difficult to capture an adequately number of spontaneous images their meanings because no standard, uniform, exact measurements are available collection annotation. Thus, comprehensive first-hand data analyses may provide insight future research on construction, recognition, emotion inference. This paper presents our multimodal visible infrared...

Convolutional neural network (CNN) based deep representation learning methods for speech emotion recognition (SER) have demonstrated great success. The basic design of CNN restricts the ability to model only local information well. Capsule (CapsNet) can overcome shortages CNNs capture shallow global features from spectrogram, although CapsNet cannot learn and information. In this paper, we propose a local-global aware system that mainly includes two modules. One module contains multi-scale...

Arbuscular mycorrhizal fungi (AMF) are known to improve plant stress tolerance by regulating proline accumulation, and nitric oxide (NO) plays an important signaling role in metabolism. Environmental nitrogen (N) affects AMF colonization its contribution host plants resistance conditions. However, the relationship between metabolism NO rice effect of N application on symbiont under low temperature have not been established. Pot culture experiments with different temperature, exogenous donor...

Mitogen-activated protein kinase (MAPK) cascades play important roles in the stress response both plants and microorganisms. The mycorrhizal symbiosis established between arbuscular fungi (AMF) can enhance plant drought tolerance, which might be closely related to fungal MAPK molecular dialogue soybean cascades. To verify above hypothesis, germinal Glomus intraradices (syn. Rhizophagus irregularis) spores potted experiments were conducted. results showed that AMF GiMAPKs with high homology...

Talking face synthesis driven by audio is one of the current research hotspots in fields multidimensional signal processing and multimedia. Neural Radiance Field (NeRF) has recently been brought to this field order enhance realism 3D effect generated faces. However, most existing NeRF-based methods either burden NeRF with complex learning tasks while lacking for supervised multimodal feature fusion, or cannot precisely map facial region related speech movements. These reasons ultimately...

Abstract A bridge disease identification approach based on an enhanced YOLO v3 algorithm is suggested to increase the accuracy of apparent detection concrete bridges under complex backgrounds. First, network structure better accommodate dense distribution and large variation scale characteristics, layer incorporates squeeze excitation (SE) networks attention mechanism module spatial pyramid pooling strengthen semantic feature extraction ability. Secondly, CIoU with localization ability...

Poor management is the main reason for high N losses and reduced yield in rice production. Improved crop northeastern China becoming increasingly important due to economic pressures southern central along with rising temperatures Northeast, which have led a major shift ( Oryza sativa L.) production this region. Here, we examine opportunities improving nitrogen use efficiency (NUE) of irrigated by optimizing nutrients increasing transplanting density. In 2009 2011, field experiments were...

Due to the more robust characteristics compared unimodal, audio-video multimodal emotion recognition (MER) has attracted a lot of attention. The efficiency representation fusion algorithm often determines performance MER. Although there are many algorithms, information redundancy and complementarity usually ignored. In this paper, we propose novel method, Capsule Graph Convolutional Network (CapsGCN). Firstly, after unimodal learning, extracted audio video representations distilled by...

Talking head synthesis is to synthesize a lip-synchronized talking video using audio. Recently, the capability of NeRF enhance realism and texture details synthesized heads has attracted attention researchers. However, most current methods based on audio are exclusively concerned with rendering frontal faces. These unable generate clear in novel views. Another prevalent challenge 3D difficulty aligning acoustic visual spaces, which often results suboptimal lip-syncing generated heads. To...