Computer Vision and Image Processing

Computer Vision and Image Processing

6th International Conference, CVIP 2021, Rupnagar, India, December 3-5, 2021, Revised Selected Papers, Part II

Goyal, Puneet; Murala, Subrahmanyam; Chowdhury, Ananda; Raman, Balasubramanian; Dhall, Abhinav

Springer International Publishing AG

07/2022

568

Mole

Inglês

9783031113482

15 a 20 dias

908

Descrição não disponível.
Handwritten Text Retrieval from Unlabeled Collections.- Detecting Document Forgery Using Hyperspectral Imaging.- An Hour-glass CNN for Language Identification of Indic Texts in Digital Images.- Single Frame-based Video Dehazing with Adversarial Learning.- Spatio-Temporal Event Segmentation for Wildlife Extended Videos.- Comparative analysis of machine learning and deep learning models for ship classication from satellite images.- Channel Dierence based Regeneration Architecture for Fake Colorized Image Detection.- DenseASPP enriched Residual Network towards visual saliency prediction.- Brain MRI and CT Image Fusion Using Generative Adversarial Network.- MFCA-Net: Multiscale Feature Fusion with Channel-wise Attention Network for Automatic Liver Segmentation from CT Images.- Automatic Double Contact Fault Detection in Outdoor Volleyball Videos.- Classroom Slide Narration System.- Humanoid Robot - Spark.- Attention-Based Deep Autoencoder for Hyperspectral Image Denoising.- Feature Modulating Two-stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images.- Retinal Image Quality Assessment using Sharpness and Connected Components.- Multi-frame Motion Saliency Learning for Object Segmentation.- Video Enhancement with Single Frame.- Blind Video Quality Assessment using Fusion of Novel Structural Features and Deep Features.- On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identication.- Post-Harvest Handling of Mangoes: An Integrated Solution Using Machine Learning Approach.- Morphological Gradient Analysis and Contour Feature Learning for Locating Text in Natural Scene Images.- Introspecting Local Binary Feature Vectors for Classification of Radiographic Weld Images.- Performance Evaluation of Deep Learning Models for Ship Detection.- COVID-19 Social Distance Surveillance using Deep Learning.- Towards Semi-supervised Tree Canopy Detection and Extraction from UAV Images.- Pose Guided Controllable Gesture to gesture translation.- EDR: Enriched Deep Residual Framework with Image Reconstruction for Medical Image retrieval.- Depth Estimation Using Sparse Depth And Transformer.- Analysis of Loss Functions for Image Reconstruction using Convolutional Autoencoder.- Fuzzy Entropy k-Plane Clustering Method and its Application to Medical Image Segmentation..- FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks.- Region Extraction Based Approach For Cigarette Usage Classication Using Deep Learning.- Fire Detection Model using Deep Learning Techniques.- Two Novel Methods for Multiple Kinect v2 Sensor Calibration.- Residual Inception Cycle-Consistent Adversarial Networks.- MAG-Net : A memory augmented generative framework for Video anomaly detection using extrapolation.- Hand Gesture Recognition using CBAM-RetinaNet.- Elderly Patient Fall Detection using Video Surveillance.- OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Articial Neural Networks .- Deep Learning Based DR Medical Image Classication.- Human Action Recognition in Still Images.- Enhancing unsupervised video representation learning by temporal contrastive modelling using 2d CNN.- Deep Two-Stage LiDAR Depth Completion.- 3D Multi-voxel pattern based machine learning for multi-center fMRI data normalization.- EFFICIENT APPROXIMATION OF CURVE-SHAPED OBJECTS IN Z2 BASED ON THE MAXIMUM DIFFERENCE BETWEEN DISCRETE CURVATURE VALUES.- Exploring the role of adversarial attacks in image anti-forensics.- A Novel Articial Intelligence-based Lung Nodule Segmentation and Classication System on CT Scans.
artificial intelligence;computer networks;computer systems;computer vision;databases;deep learning;image analysis;image coding;image enhancement;image processing;image quality;image reconstruction;image segmentation;machine learning;neural networks;object recognition;pattern recognition;signal processing