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Bayesian optimization of histogram of oriented gradients (HOG) parameters for facial recognition
Facial recognition is a rapidly growing field with applications in security, surveillance, and human-computer interaction. The performance of the...
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Integrated content-network analysis to discover influential collectives for studying social cyber-threats from online social movements
Recent online social movements with offline violence events have been linked to activities of threat actors that exploit online social networks to...
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Systems for Recognition and Intelligent Analysis of Biomedical Images
AbstractThe article is devoted to the achievements of the leading scientific school of Academician V.A. Soifer in the field of biomedical image...
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Spatiotemporal information complementary modeling and group relationship reasoning for group activity recognition
Exploring spatial-temporal interactions among group members is crucial for group activity recognition. However, most existing approaches cannot...
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Named Entity Recognition
This chapter provides an overview of named entity recognition (NER) from biomedical text, which is an algorithmic approach to identifying the span of...
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Still image action recognition based on interactions between joints and objects
Still image-based action recognition is a challenging area in which recognition is performed based on only a single input image. Utilizing auxiliary...
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Unsupervised multimodal learning for image-text relation classification in tweets
Recent studies show that the use of multimodality can effectively enhance the understanding of social media content. The relations between texts and...
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Survey on facial expressions recognition: databases, features and classification schemes
The recognition of facial expression in images is one of the motional states in the observing forms and is one of the most frequent non-verbal routes...
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Self-supervised extracted contrast network for facial expression recognition
Self-supervised Contrastive learning has recently demonstrated significant performance in Facial Expression Recognition (FER). However, existing...
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A lightweight convolutional swin transformer with cutmix augmentation and CBAM attention for compound emotion recognition
Facial emotion recognition has become a complicated task due to individual variations in facial characteristics, as well as racial and cultural...
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Recognition algorithm for deep convective clouds based on FY4A
The short-term heavy rainfalls, thunderstorm gales, hail, squall lines, tornadoes, thunderstorms and other disastrous weather caused by deep...
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A Multimodal Approach for Multiple-Relation Extraction in Videos
Automatically interpreting social relations, e.g., friendship, kinship, etc., from visual scenes has huge potential application value in areas such...
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Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects
In recent years, emotion recognition has received significant attention, presenting a plethora of opportunities for application in diverse fields...
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A Survey on Multimodal Named Entity Recognition
Multimodal Named Entity Recognition (MNER) is a task of identifying entities with specific semantic types from natural language text and using image...
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From language to algorithm: trans and non-binary identities in research on facial and gender recognition
We assess the state of thinking about gender identities in computer vision through an analysis of how research papers in gender and facial...
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Applications of Named Entity Recognition Using Graph Convolution Network
Named Entity Recognition (NER), one of the essential tasks in Natural Language Processing (NLP) has been worked upon by many researchers in the past...
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Face Recognition Research and Development
Face recognition aims to identify or verify the identity of a person through his or her face images or videos. It is one of the most important...
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DVC-Net: a new dual-view context-aware network for emotion recognition in the wild
Emotion recognition in the wild (ERW) is a challenging task due to unknown and the unconstrained scenes in the wild environment. Different from...
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Revolutionizing online education: Advanced facial expression recognition for real-time student progress tracking via deep learning model
This paper presents a groundbreaking online educational platform that utilizes facial expression recognition technology to track the progress of...
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GaitASMS: gait recognition by adaptive structured spatial representation and multi-scale temporal aggregation
Gait recognition is one of the most promising video-based biometric technologies. The edge of silhouettes and motion are the most informative feature...
