Computer Vision and Image Processing

9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part VI

Häftad, Engelska, 2025

AvJagadeesh Kakarla,R. Balasubramanian,Subrahmanyam Murala,Santosh Kumar Vipparthi,Deep Gupta

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mso-ansi-language: EN-US;">The 178 full papers presented were carefully reviewed and selected from 647 submissions.The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.

Produktinformation

Utgivningsdatum2025-07-25
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor214
FörlagSpringer International Publishing AG
ISBN9783031937026
OriginaltitelComputer Vision and Image Processing

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.- Do not look so locally to fish skins: Improved YOLOv7 for fish disease detection with Transformers..- MDDAMFN: Mixed Dual-Direction Attention Mechanism to Enhance Facial Expression..- A brief review of state-of-the-art classification methods on benchmark Peripheral Blood Smears datasets..- Detection and Monocular Depth Estimation of Ghost Nets..- DiffMamba: Leveraging Mamba for Effective Fusion of Noise and Conditional Features in Diffusion Models for Skin Lesion Segmentation..- UDC-Mamba: Deep State Space Model for Under Display Camera Image Restoration..- Walking Direction Estimation using Silhouette and Skeletal Representations..- Realizing GAN Potential for Image Generation and Image-To-Image Translation Using Pix2Pix..- DSFF-Net: Depthwise Separable U-Net with Feature Fusion for Polyp Segmentation towards Hardware Deployment..- Cattle Identification through Multi-Biometric Features and Edge Device..- Fast sparse SAR Image Reconstruction Using Sparsity Independent Regularized Pursuit..- Space Varying Motion Blur Degradation Dataset and Model for Semantic Segmentation..- Multi-class classification of Gastrointestinal Disease detection using Vision Transformers..- MGC: Music Genre Classification Using a Hybrid CNN-LSTM Model with MFCC Input..- DBTC-Net: Dual-Branch Transformer-CNN Network for Brain Tumor Segmentation.