Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXIX / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal.

Format:

Book

Author/Creator:

Antonacopoulos, Apostolos.

Contributor:

Chaudhuri, Subhasis.

Chellappa, Rama.

Liu, Cheng-Lin.

Bhattacharya, Saumik.

Pal, Umapada.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15329

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Computer Vision.

Machine Learning.

Local Subjects:

Computer Vision.

Machine Learning.

Physical Description:

1 online resource (499 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as 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.

Contents:

Optimizing Personalized Robot Actions with Ranking of Trajectories

Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems

Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation

Confidence-Guided Feature Alignment for Cloth-Changing Person Re-identification

Fair Latent Representation Learning with Adaptive Reweighing

FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features

One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features

Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition

ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition

Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning

Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos

Multi-Teacher Importance Preserving Knowledge Distillation for Early Violence Prediction

Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar

Hybrid Human Action Anomaly Detection based on Lightweight GNNs and Machine Learning

Zero-Shot Spatio-Temporal Action Detection by Enhancing Context-Relation Capability of Vision-Language Models

Nonlinear progressive denoising: a universal regularized denoising strategy for low PSNR images

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement

Composite Concept Extraction through Backdooring

Guided SAM: Label-Efficient Part Segmentation

Multidimensional Cross-Reconstructed Networks for Few-Shot Fine-Grained Image Classification

Symmetric masking strategy enhances the performance of Masked Image Modeling

Multiplicative RMSprop using gradient normalization for learning acceleration

TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings

Evidential Federated Learning for Skin Lesion Image Classification

Adaptive Text Feature Updating for Visual-Language Tracking

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction

Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection

Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels

Environment-Independent Fusion for Robust Object Detection in Adverse Environments

Transformer-based RGB and LiDAR Fusion for Enhanced Object Detection.

ISBN:

9783031781100

3031781104