The proposed work focuses on the utilization of satellite image processing techniques for the effective detection and monitoring of forest area density. Through a series of image processing steps, we analyze satellite...
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This thesis investigates how natural language understanding and generation with transformer models can benefit from grounding the models with knowledge representations. Currently, the most prevailing paradigm for trai...
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Virtual human motion driving focuses on generating and controlling realistic human motions, from facial expressions to body movements. These motions are driven by various types of input signals, such as visual and aco...
Virtual human motion driving focuses on generating and controlling realistic human motions, from facial expressions to body movements. These motions are driven by various types of input signals, such as visual and acoustic features,textual prompts, or a combination thereof. This survey delivers an in-depth examination of generative models for virtual human motion driving, with a specific emphasis on recent models. A taxonomy of virtual human motion driving networks designed for talking-face and human-pose generation is provided. The former mainly concentrates on lip synchronization,differentiation of emotions, and personalized expressions, while the latter mainly includes co-speech gesture generation and text-to-motion prediction. Moreover, available datasets and evaluation metrics for virtual human motion driving tasks are discussed, applications and real products related to virtual human motion driving are explored, along with their challenges,limitations, and potential future developments. The objective of this survey is to gain a comprehensive understanding of the present advancements in talking-face and human-pose generation models, with a focus on the future potential of virtual human motion driving. This endeavor aims to lay the groundwork for the development of extensive applications for virtual humans.
Rationale and Objectives: Brachial plexopathies (BPs) encompass a complex spectrum of nerve injuries affecting motor and sensory function in the upper extremities. Diagnosis is challenging due to the intricate anatomy...
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Marine science researchers are heavy users of software tools and systems such as statistics packages, visualization tools, and online data catalogues. Following a constructivist grounded theory approach, we conduct a ...
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Multimodal Emotion Recognition in Conversation (ERC) is a task of predicting the emotion of each utterance in a conversation by utilizing both verbal and non-verbal modalities. However, existing approaches often strug...
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Technology plays a primary role in rapid growth of service and identifying the quality of life. Recent technology such as Internet of Things (IoT) determines an impressive performance in the development of fast-forwar...
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Ethereum is an application platform that distributes versions of intelligent contracts to thousands of people globally, utilizing blockchain to decentralize data. Ethereum is a global currency that is used to exchange...
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Study on the identification and classification of fish is challenging and valuable because of its role in advancing the marine and agricultural fields. This research has benefits interms of monitoring fish populations...
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Recently,Siamese-based trackers have achieved excellent performance in object ***,the high speed and deformation of objects in the movement process make tracking ***,we have incorporated cascaded region-proposal-netwo...
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Recently,Siamese-based trackers have achieved excellent performance in object ***,the high speed and deformation of objects in the movement process make tracking ***,we have incorporated cascaded region-proposal-network(RPN)fusion and coordinate attention into Siamese *** proposed network framework consists of three parts:a feature-extraction sub-network,coordinate attention block,and cascaded RPN *** exploit the coordinate attention block,which can embed location information into channel attention,to establish long-term spatial location dependence while maintaining channel ***,the features of different layers are enhanced by the coordinate attention *** then send these features separately into the cascaded RPN for classification and *** to the two classification and regression results,the final position of the target is *** verify the effectiveness of the proposed method,we conducted comprehensive experiments on the OTB100,VOT2016,UAV123,and GOT-10k *** with other state-of-the-art trackers,the proposed tracker achieved good performance and can run at real-time speed.
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