Description

Book Synopsis

.- 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 Parkinson’s 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.

Computer Vision and Image Processing

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    RRP £79.99 – you save £4.00 (5%)

    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Jagadeesh Kakarla

    15 in stock


      View other formats and editions of Computer Vision and Image Processing by Jagadeesh Kakarla

      Publisher: Springer
      Publication Date: 08/07/2025
      ISBN13: 9783031937088, 978-3031937088
      ISBN10:

      Description

      Book Synopsis

      .- 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 Parkinson’s 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.

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