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Computer Animation and Social Agents: 37th International Conference, CASA 2024, Wuhan, China, June 57, 2024, Revised Selected Papers, Part I [Minkštas viršelis]

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  • Formatas: Paperback / softback, 405 pages, aukštis x plotis: 235x155 mm, 153 Illustrations, color; 32 Illustrations, black and white; XIX, 405 p. 185 illus., 153 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 2374
  • Išleidimo metai: 09-Mar-2025
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 9819626803
  • ISBN-13: 9789819626809
Kitos knygos pagal šią temą:
Computer Animation and Social Agents: 37th International Conference, CASA 2024, Wuhan, China, June 57, 2024, Revised Selected Papers, Part IDidesnis paveikslėlis
  • Formatas: Paperback / softback, 405 pages, aukštis x plotis: 235x155 mm, 153 Illustrations, color; 32 Illustrations, black and white; XIX, 405 p. 185 illus., 153 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 2374
  • Išleidimo metai: 09-Mar-2025
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 9819626803
  • ISBN-13: 9789819626809
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9789819626809.html
Raktažodžiai:
This two-volume set, CCIS 2374 and CCIS 2375, constitutes the revised selected papers from the 37th International Conference on Computer Animation and Social Agents, CASA 2024, held in Wuhan, China, during June 5-7, 2024.





The 60 papers presented in these two volumes were carefully reviewed and selected from 208 submissions. These papers focus on various aspects of Computer Animation and Social Agents, such as Motion Capture & Retargeting, Physics-based Animation, Vision-based Techniques, Behavioral Animation, Facial Animation, Image-based Animation, Virtual Humans, Crowd Simulation, AI-based Animation, Deep Learning methods, Virtual humans and avatars, and 3D Physiological Humans.
.- YOLOv8_ODY:An Object Detection Model for Traffic SignsT.



.- Mask-Based Matching Enhancement for Unsupervised Point Cloud
Registration.



.- Driver action recognition based on Dynamic Adaptive Transformer.



.- SimNET: A Deep learning macroscopic traffic simulation model for signal
controlled urban road network.



.- UAV-LMDN: Lightweight Multi-Scale Small Object Detection Network for
Unmanned Aerial Vehicle Perspective.



.- LRDN: Lightweight Risk Detection Network for Power System Operations.



.- Personalized Federated Learning by Model Pruning via Batch Normalization
Layers.



.- IT-HMDM: Invertible Transformer for Human Motion Diffusion Model.



.- Fashion Image Retrieval Based on Multimodal Features Enhancement and
Fusion.



.- Syntactic Enhanced Multi-Channel Graph Convolutional Network for
Aspect-based Sentiment Analysis.



.- Intelligent Helmet System for Hazardous Area Detection based on Digital
Twin Technology.



.- An Evaluation of a Simulation System for Visitors in Exhibit Halls.



.- Foley Agent: Automatic Sound Design and Mixing Agent for Silent Videos
Driven by LLMs.



.- Deep Metric Learning with  Feature Aggregation for Generalizable Person
Re-Identification.



.- Diverse 3D Human Pose Generation in Scenes based on Decoupled Structure.



.- A Combination Simulation Method for Low Orbit Large Scale Satellites via
STK and NS2.



.- Semantic-Guided Prompt Learning Network for Generalized Zero-Shot
Learning.



.- MiT-Unet: Mixed Transformer Unet for Transmission Line Segmentation in UAV
Images.



.- Semantic-driven multi-character multi-motion 3D animation generation.



.- MSAR: A Mask Branch Module Integrating Multi-scale Attention And
RefineNet.



.- Multi-level Knowledge Distillation for Class  Incremental Learning.



.- Research on the algorithm of helmet-wearing detection based on the
optimized Mobilevit and Centernet.



.- Better Sampling, towards Better End-to-end small Object Detection.



.- Stealthily Launch Backdoor Attacks Against Deep Neural Network Models via
Steganography.



.- Seat belt wearing detection based on Efficient Det_Ad.



.- DHNet: A Depth wise Separable Convolution-based High-Resolution Full
Projector Compensation Network.



.- Denoising Implicit Feedback for Extractive Question Answering.



.- Iterative Consistent Attentional Diffusion Model for Multi-Contrast
MRISuper-Resolution.