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Computer Animation and Social Agents: 37th International Conference, CASA 2024, Wuhan, China, June 57, 2024, Revised Selected Papers, Part II [Pehme köide]

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  • Formaat: Paperback / softback, 473 pages, kõrgus x laius: 235x155 mm, 185 Illustrations, color; 21 Illustrations, black and white; XIX, 473 p. 206 illus., 185 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2375
  • Ilmumisaeg: 09-Mar-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819626838
  • ISBN-13: 9789819626830
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Computer Animation and Social Agents: 37th International Conference, CASA 2024, Wuhan, China, June 57, 2024, Revised Selected Papers, Part IISuurem pilt
  • Formaat: Paperback / softback, 473 pages, kõrgus x laius: 235x155 mm, 185 Illustrations, color; 21 Illustrations, black and white; XIX, 473 p. 206 illus., 185 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2375
  • Ilmumisaeg: 09-Mar-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819626838
  • ISBN-13: 9789819626830
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819626830.html
Märksõnad:
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.
.- Augmented Knowledge Distillation via Contrastive Learning.



.- Near-Eye Gaze Estimation in Virtual Reality Based on Deep Learning.



.- N-Sand Table A Multi-User Interactive Virtual Sand Table Based on NeRF
Technology.



.- A weakly supervised crowd counting method  based on contrastive deep
supervision.



.- The Detection and Rectification for Identity-Switch Based on the
Unfalsified Control.



.- LDSBC: Lightweight Detection Network for Student Behavior in Classroom
Scenario.



.- YOLO-DPW: An Efficient Real-time Fabric Defect Detection Model.



.- Quadrotor Unmanned Aerial Vehicle Trajectory Tracking Under
Event-Triggered Sliding Mode Control.



.- Emotion Loss Attacking : Adversarial Attack Perception for Skeleton based
on Multi-dimensional Features.



.- Method of Ionospheric Delay Positioning Error Correction Based on
Transformer Model Prediction.



.- RFBR-IR:Regularized Frequency BRDF Reconstruction Inverse Rendering.



.- A lightweight camouflaged object detection model based on improved
attention mechanism.



.- A Fabric Defect Detection Method Based on Improved YOLOv5.



.- UBAViz: User Behavior Analyzing in Literature Resources by Modeling User
Behavior Sequences ..



.- ACDiff: Angle Craft Diffusion Model for Novel  View Synthesis.



.- A Training and Evaluation System for Magnetic-Actuated Virtual Vessel
Interventional Surgery.



.- Self-Adapting NeRF: Non-ideal video based NeRF for high-quality novel view
synthesis.



.- AnisoVector: Separable Anisotropic Set Abstraction and Group Vector
Attention for Efficient Point Cloud Analysis.



.- Automatic code generation from GUI screenshots with vision-language
models.



.- SymMoment: A Symbol Recognition System using Multiple Moments and
Multicore Computing.



.- DBFF-PCGC: Dual-Branch Feature Fusion for Point Cloud Geometry
Compressio.



.- Camouflaged Object Detection Based On Edge-Feature Interationt.



.- EyeGlove: Enhancing Smart Glove with Visual Information to Assist Students
in Conducting Chemistry Experiments in Mixed Reality Laboratory.



.- Multilevel Topology Structure-aware Network for 3D Hand Pose Estimation.



.- Research on Garment Image Retrieval Method Based on Transformer and
Multi-layer Feature Fusion.



.- Hybrid Attention Mechanism for 3D LIDAR Point Clouds Semantic
Segmentation.



.- Think Twice Before Acting: Efficient Knowledge Distillation for 6-DOF
Camera Relocalization.



.- A Spatially Enhanced CNN and Multiscale Transformer Fusion Approach for
Chest Radiograph Registration.



.- The Phantom Dance: Personalized Anatomical Skeleton Inference from
Monocular Views.



.- Research on Human-Robot Collaboration Safety Model and Key Algorithms in
Assembly Systems.



.- Seam Carving Empowered by Reinforcement Learning for Optimal Content
Preservation.



.- Robust Mesh Denoising Based on Weighted Least Squares.