Computer Vision and Image Processing: 9th International Conference, CVIP 2024, Chennai, India, December 1921, 2024, Revised Selected Papers, Part V [Mīkstie vāki]

.- TranscoderGAN: Transformer-Inception based Encoder-Decoder Generative
Adversarial Network for Thermal-Visible Face Transformation.


.- PCNet3D: A Pillar based Cascaded 3D Object Detection Model using LiDAR
Point Cloud.


.- Leveraging English Captions for Improved Image Captioning in Low-Resource
Languages.


.- Plant-AT: Customized Hybrid Attention Model for Diagnosing Plant Disease.


.- FL-STGCN: Mental Health Recognition using RGB and IR Landmark Feature
Fusion.


.- An Object Translation-based Image Augmentation-enabled Cyclone Eye
Detection System for Tropical Cyclones in India.


.- Automatic Monitoring of Crops from Drone Images with a Suitable
Deep Learning Model.


.- TransDerain: Efficient Transformer Network for Video Deraining.


.- Deep Compressive Sensing for High-Quality Video Recovery.


.- Transforming Single Photon Camera Images to Color High Dynamic Range
Images.


.- Breast Cancer Detection using Thresholded Wavelet Transformation
and Transfer Learning.


.- Stage Estimation in Parkinsons Disease from MRI and Clinical Assessment
Data with a Multivariate Analysis.


.- Enhanced Image Feature Selection Techniques for Visualization and
Classification of Android Malware.


.- End-to-End Prostate Cancer Segmentation for RT Planning.


.- Bangla Chitra Net: An efficient transformer-based architecture for image
captioning.


.- Adaptive Quantization of Deep Neural Networks via Layer
Importance Estimation.


.- Paired Attention Swin UNETR for Volumetric Segmentation of Brain Tumor.


.- Enhancing Maritime Multi Object Tracking with Meta-data
Assisted Re-Identification.


.- Advanced Fingerprint Authentication System Integrating HQC and AES
Encryption for Post-Quantum Security.


.- MyoCI: Computational Intelligence for Early Detection of Myocardial
Infarction using Text Analysis through Clinical Data.


.- Domain Adaptation for Image Classification: A Comparative Study of
Semi-Supervised versus Unsupervised Approaches.


.- WAVE-NET: Weakly-Supervised Video Anomaly Detection through Feature
Enhancement and triplet loss.


.- GAN-driven Brain Tumor Segmentation with Attention Residual U-Net.


.- Efficient Masked Face Recognition in Low-Resolution Images with MobileNet
and Attention Mechanism.


.- CompTSRTrans: Computationally Efficient Thermal Image Super-Resolution
based on Transformer.


.- Medical Image Restoration based on Split Bregman with DIP-TV.


.- Hand Detection in the Wild Leveraging RetinaNet.


.- Learnable Gabor and Wavelet Filters Based Deep Learning for Image Forgery
Detection.


.- Manifold Embedding for Pseudo-centric Domain Adaptation Approaches.


.- Fooling Face Recognition Systems through Physical Adversarial Attack.


.- Enhanced Eye Disease Diagnosis using Integrated ResNet-101 and Vision
Transformer.


.- Leveraging CNN Features and Vision Transformers for Enhanced Focal Liver
Lesion
Classification.


.- OSCMamba: Omni-directional Selective Scan Convolution Mamba for Medical
Image
Classification.