Pattern Recognition

Pattern Recognition

27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IV

Antonacopoulos, Apostolos; Chaudhuri, Subhasis; Chellappa, Rama; Bhattacharya, Saumik; Liu, Cheng-Lin; Pal, Umapada

Springer International Publishing AG

01/2025

468

Mole

9783031781278

Pré-lançamento - envio 15 a 20 dias após a sua edição

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DeepEMD: A Transformer-based Fast Estimation of the Earth Mover's Distance.- Equivariant Neural Networks for TEM Virus Images Improves Data Efficiency.- AI Based Story Generation.- Deep learning models for inference on compressed signals with known or unknown measurement matrix.- Training point-based deep learning networks for forest segmentation with synthetic data.- Brain Age Estimation using Self-attention based Convolutional Neural Network.- IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence.- Interpretable Deep Graph-level Clustering: A Prototype-based Approach.- A Saliency-Aware NR-IQA Method by Fusing Distortion Class Information.- A Guided Input Sampling-based Perturbative Approach for Explainable AI in Image-based Application.- Multi-target Attention Dispersion Adversarial Attack against Aerial Object Detector.- Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation.- Label-expanded Feature Debiasing for Single Domain Generalization.- Infrared and Visible Image Fusion Based on CNN and Transformer Cross-Interaction with Semantic Modulations.- Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning.- Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging.- A Weighted Discrete Wavelet Transform-based Capsule Network for Malware Classification.- Data-driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting.- Automatic Diagnosis Model of Gastrointestinal Diseases Based on Tongue Images.- TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset.- SCAD-Net: Spatial-Channel Attention and Depth-map Analysis Network for Face Anti-Spoofing.- Next Generation Loss Function for Image Classification.- NAOL: NeRF-Assisted Omnidirectional Localization.- EdgeConvFormer: an unsupervised anomaly detection method for multivariate time series.- Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels.- Hand over face gesture classification with feature driven vision transformer and supervised contrastive learning.- TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering.- GraFix: A Graph Transformer with Fixed Attention based on the WL Kernel.- Multi-Modal Deep Emotion-Cause Pair Extraction for Video Corpus.
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Pattern Recognition;Artificial Intelligence;Machine Learning;Computer Vision;Robot Vision;Machine Vision;Image Processing;Speech Processing;Signal Processing;Video Processing;Biometrics;Human-Computer Interaction (HCI);Document Analysis;Document Recognition;Biomedical Imaging;Bioinformatics