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Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 26, 2024, Proceedings, Part VII [Mīkstie vāki]

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  • Formāts: Paperback / softback, 448 pages, height x width: 235x155 mm, 145 Illustrations, color; 3 Illustrations, black and white; XXXIII, 448 p. 148 illus., 145 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15292
  • Izdošanas datums: 27-Aug-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819665930
  • ISBN-13: 9789819665938
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Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 26, 2024, Proceedings, Part VIIPalielināt
  • Formāts: Paperback / softback, 448 pages, height x width: 235x155 mm, 145 Illustrations, color; 3 Illustrations, black and white; XXXIII, 448 p. 148 illus., 145 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15292
  • Izdošanas datums: 27-Aug-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819665930
  • ISBN-13: 9789819665938
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819665938.html

The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.
The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.

LoTraNet: Locality-guided Transformer Network for Image Manipulation
Localization.- Progressive EMD-based Trajectory Prediction: A Multistage
Approach for Enhanced Human Trajectory Forecasting.- Dual-Level Contrastive
Learning Framework.- DLAFormer: A Novel Approach to Image Super-Resolution
with Comprehensive Attention Mechanisms.- Audio-Infused Automatic Image
Colorization by Exploiting Audio Scene Semantics.- CoMISI: Multimodal Speaker
Identification in Diverse Audio-Visual Conditions through Cross-Modal
Interaction.- Multi-scale Spatial Feature Aggregation For Efficient Super
Resolution.- SCANet: Split Coordinate Attention Network for Building
Footprint Extraction.- XFusion: Cross-Attention Transformer for Multi-Focus
Image Fusion.- Guided DiffusionDet: Guided Diffusion Model for Object
Detection with Resample Mechanism.- Mutual Information-based Mixed Precision
Quantization.- MLLM-Driven Semantic Enhancement and Alignment for Text-Based
Person Search.- TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image
Models through Attention and Sample Modulation.- Selecting the Best
Sequential Transfer Path for Medical Image Segmentation with Limited Labeled
Data.- Knowledge Distillation with Differentiable Optimal Transport on Graph
Neural Networks.- Test-Time Intensity Consistency Adaptation for Shadow
Detection.- Learning from Noisy Labels for Long-tailed Data via Optimal
Transport.- LCRPS: Large-Capacity Residual Plane Steganography Based on
Multiple Adversarial Networks.- Aesthetics-Guided Multi-scale Feature Fusion
for Style Transfer.- BEVRoad: A Cross-Modal and Temporary-Recurrent 3D Object
Detector for Infrastructure Perception.- Dilated Pyramid Attention in
Hierarchical Vision Transformer for Texture Recognition.- Attention-based
Domain Adaptive YOLO For Cross-domain Object Detection.- In-WSOD: Integrality
Weakly Supervised Object Detection with Classification and Localization
Consistency.- GLEGNet: Infrared and Visible Image Fusion Via Global-Local
Feature Extraction and Edge-Gradient Preservation.- Mending of
Spatio-Temporal Dependencies in Block Adjacency Matrix.- CaDT-Net: A Cascaded
Deformable Transformer Network for Multiclass Breast Cancer Histopathological
Image Classification.- DIFA: Deformable Implicit Feature Alignment for
Roadside Cooperative Perception.- Transferring Teachers Invariance to
Student Through Data Augmentation Optimization.- AARR-Net: An Attention
Assistance Feature Fusion and Model Recursive Recovery Network for
Category-level 6D Object Pose Estimation.- BRS-YOLO: A Balanced Optical
Remote Sensing Object Detection Method.- HDKI: A Hierarchical Deep Koopman
Framework for Spatio-Temporal Prediction with Image Observations.