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Pattern Recognition and Computer Vision: 7th Chinese Conference, PRCV 2024, Urumqi, China, October 1820, 2024, Proceedings, Part VI 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 609 pages, kõrgus x laius: 235x155 mm, 214 Illustrations, color; 7 Illustrations, black and white; XIV, 609 p. 221 illus., 214 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15036
  • Ilmumisaeg: 03-Nov-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819785073
  • ISBN-13: 9789819785070
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  • Formaat: Paperback / softback, 609 pages, kõrgus x laius: 235x155 mm, 214 Illustrations, color; 7 Illustrations, black and white; XIV, 609 p. 221 illus., 214 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15036
  • Ilmumisaeg: 03-Nov-2024
  • Kirjastus: Springer Nature
  • ISBN-10: 9819785073
  • ISBN-13: 9789819785070
This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 1820, 2024.





The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Visual Harmony: LLM's Power in Crafting Coherent Indoor Scenes from
ImagesSuperpixel Cost Volume Excitation for Stereo MatchingMulti-view Depth
Estimation with Adaptive Feature Extraction and Region-Aware Depth
Prediction3D Data Augmentation for Driving Scenes on CameraA Pose-Aware
Auto-Augmentation Framework for 3D Human Pose and Shape Estimation from
Partial Point CloudsEfficient Emotional Talking Head Generation via Dynamic
3D Gaussian RenderingGeneralizable Geometry-aware Human Radiance Modeling
from Multi-view ImagesAG-NeRF: Attention-guided Neural Radiance Fields for
Multi-height Large-scale Outdoor Scene RenderingJPA: A Joint-Part Attention
for Mitigating Overfocusing on 3D Human Pose EstimationRealistic and
Visually-pleasing 3D Generation of Indoor Scenes from a Single
ImageAttenPoint: Exploring Point Cloud Segmentation through Attention-Based
ModulesMTFusion: Reconstructing Any 3D Object from Single Image Using
Multi-Word Textual InversionMulti-view 3D Reconstruction by Fusing
Polarization InformationQuat-DGNet: Enhancing 3D Dense Captioning with
Quaternion-Based Spatial Offsets and Dynamic Neighborhood GraphsDisparity
Refinement Based on Cross-Modal Feature Fusion and Global Hourglass
Aggregation for Robust Stereo Matching.- Trajectory-based Calibration for
Optical See-Through Head-Mounted Displays without Alignment.- Animatable
Human Rendering from Monocular Video via Pose-Independent Deformation.-
Maximum Spanning Tree for 3D Point Cloud RegistrationLearning the Dynamic
Spatio-Temporal Relationship Between Joints for 3D Human Pose Estimation.-
MaskEditor: Instruct 3D Object Editing with Learned MasksDyGASR: Dynamic
Generalized Gaussian Splatting with Surface Alignment for Accelerated 3D Mesh
Reconstruction.- MMIDM:Generating 3D Gesture from Multimodal Inputs with
Diffusion Models.- Discriminative-guided Diffusion-based Self-supervised
Monocular Depth Estimation.- Multiview Light Field Angular Super-Resolution
based on View Alignment and Frequency Attention.- MagicGS: Combining 2D and
3D Priors for Effective 3D Content Generation.- ESD-Pose: Enhanced Semantic
Discrimination for Generalizable 6D Pose EstimationTrans-DONeRF for
Transparent Object Rendering with Mixed Depth Prior.- SFDNeRF: A Semantic
Feature-Driven Few-Shot Neural Radiance Field Framework with Hybrid
Regularization.- TriEn-Net: Non-parametric Representation Learning for
Large-Scale Point Cloud Semantic Segmentation.- Decomposed Latent Diffusion
Model for 3D Point Cloud Generation.- Learning Multi-Branch Attention
Networks for 3D Face Reconstruction.- CP-VoteNet: Contrastive Prototypical
VoteNet for Few-Shot Point Cloud Object DetectionCross Modality Fusion
Network with Feature Alignment and Salient Object Exchange for Single Image
3D Shape Retrieval.- Enhanced Spatial Adaptive Fusion Network For Video
Super-ResolutionMulti-3D Occlusion Mask Learning for Flexible Occlusion
Removal in Neural Radiance Fields.- Sketch-Based 3D Shape Retrieval via
Cross-Modal Contrastive Learning and Difficulty-Aware Uncertainty
Regularization.- Residual Hybrid Attention Enhanced Video  Super-Resolution
with Cross Convolution.- SDFReg: Learning Signed Distance Functions for Point
Cloud Registration.- Unfolding Gradient Graph Regularization for Point Cloud
Color Denoising.- ER-SFM: EFFICIENT AND ROBUST CLUSTER-BASED STRUCTURE FROM
MOTION.- Multimodal Token Fusion and Optimization for 3D Human Mesh
Reconstruction with Transformers.