Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VIII

by Mufti Mahmud (Editor), Maryam Doborjeh (Editor), Kevin Wong (Editor), Andrew Chi Sing Leung (Editor), Zohreh Doborjeh (Editor)

Overview

The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.

The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.

Product Details

ISBN-13:	9789819669684
Publisher:	Springer Nature Singapore
Publication date:	07/10/2025
Series:	Communications in Computer and Information Science , #2289
Pages:	430
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Generalized Multi-Scale Separable EPI Information for Light Field Image Super-Resolution.- ForgeryGPT: Cross-domain Face Forgery Detection using Large Vision-Language Models.- MFCA: Multimodal Object Detection based on Feature Calibration and Aggregation.- Omnidirectional Linear Attention Module for Penalty Shootout Video Understanding.- UOA-RCNN: detect anything with Unknown Object Aware RCNN.- WOODWIND: Few-shot Object Detector with Knowledge Distillation.- LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration.- LSReGen: Large-Scale Regional Generator via Backward Guidance Framework.- AAFE-Net:Agent-Based Adaptive Feature Enhanced Network for Leather Defect Detection.- AA-RPN: Adaptive Anchor-based Region Proposal Network for Remote Sensing Object Detection.- Asterisk sparse convolutional networks for 3D object detection Shifted Window Fourier Transform And Retention For Image Captioning.- FOPS-V: Feature-Aware Optimization and Parallel Scale Fusion for 3D Human Reconstruction in Video.- PEBTrack: A Performance-Efficiency Balance Tracker for Aerial Scenario.- Multi-Scale Spatial-Angular Information Aggregation Network for Image Semantic Segmentation.- Enhancing Semi-Supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training.- Face Super-Resolution Using Covariation-Guided Orthonormalized Partial Least Squares.- SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement.- Contrastive Diffusion Generative Adversarial Network for Generalized Zero-Shot Learning.- MASR: Efficient Multi-Attention Network For Single Image Super-Resolution.- YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images.- Correlation-Guided Image-to-Video Transfer Learning for Video Recognition.- Contrastive learning for free-view image compression network.- Enriching Degradation Features for Fundus Image Enhancement via Multi-colour Dynamic Filter Network.- -Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis.- A Semantic Segmentation Method for Skin Lesion Images Based on ViT.- Multi-scale Feature Edge Enhancement for Multi-view Stereo.- Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation.- How to Efficiently Use Color and Temporal Information for Video Understanding.- Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement.- BBLMixSTE:Barbell Tokenizer for Autism Spectrum Disorder Video Reconstruction.