Computer Vision, Pattern Recognition, Image Processing, and Graphics, Kartoniert / Broschiert
Computer Vision, Pattern Recognition, Image Processing, and Graphics
- 10th National Conference, NCVPRIPG 2025, Jammu, India, July 16-18, 2025, Revised Selected Papers, Part II
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Badri Narayan Subudhi, Ranjeet Kumar Rout, Brajendra Singh Sengar
- Verlag:
- Springer, 01/2026
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032085108
- Artikelnummer:
- 12451577
- Umfang:
- 504 Seiten
- Gewicht:
- 756 g
- Maße:
- 235 x 155 mm
- Stärke:
- 28 mm
- Erscheinungstermin:
- 3.1.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Computer Vision, Pattern Recognition, Image Processing, and Graphics |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 109,51* |
Klappentext
.- A Lightweight System for Attention-based Night-time Traffic Accident Detection.
.- Blind Spot Aware and Speed-Sensitive Emergency Vehicle Detection Using YOLO and Faster R-CNN Synergy.
.- Explainable Parallel CNN Model with Dense-Squeeze and Excitation Blocks for Corn Leaf Disease Classification.
.- Attention-Based Multi-patch Hierarchical Network with Non-local Information for Smartphone Image Denoising.
.- Extractive Text Summarization using BERT with Weighted Pooling.
.- Weighted TimeSformer Multi-Region CNN Network for Personalized and Context-aware Activity Localization in Ambient Assisted Living.
.- Prediction of Direction-of-Arrival and Distance for Binaural Sound Sources Using a CRNN-Based Model.
.- Automated Georeferencing of Topographic Maps via OCR and In-Context Multimodal LLM Reasoning.
.- PinTags: A Visual Fiducial Marker System for Logistics.
.- Deep Learning Approach based Object Detection in Underwater SONAR Images.
.- PRISM: Progressive Regional Integration with Synergetic Multi-Attention Transformer for Single Image Super-Resolution.
.- UnTherISR: Unsupervised Approach for Thermal Image Super-Resolution.
.- MAMBA-TBPS: An Efficient Attribute-Relation-Sensitive Framework for Text-Based Person Search.
.- Boosting MobileNet Performance on Embedded Systems Using SE Modules.
.- ContextualVQA: An Efficient Ambient Assisted Monitoring framework Using Visual Question Answering.
.- A Human Vision Neuroscience-Driven Deep Neural Framework for Change Detection in Underwater Scenes.
.- Class-Agnostic Triple Attention Model Towards Optimization and Variable Rate Compression in Wildlife Camera Trap Images.
.- Device-generalized representations for acoustic scene classification.
.- Fake News Detection Using Cellular Automata And Deep Learning.
.- Demystifying Transformer: A Case Study on Graph-Based Interpretability and Attention Layer Dynamics.
.- A Quality-Guided Framework for Low-Light Underwater Image Enhancement Using Degradation Classification and Benchmark Evaluation.
.- Dual-modal Fusion Deep Learning Network for Traffic Targets Detection of Autonomous Vehicles.
.- Hybrid Deep Learning and Explainable AI Approach Towards Trustworthy EV Stock Predictions.
.- WaterIDViT: Open Water Body Extraction in High-resolution Remote Sensing Images Using Vision Transformers.
.- Vision-Based Underwater Docking Station Detection for Autonomous Underwater Vehicles.
.- Real-Time Combat Training Analytics: Skeleton-based Temporal Action Localization in Unstructured Video.
.- High-Precision Traffic Accident Detection Using YOLOv11 Model and Image Processing with Deep Learning Techniques.
.- Late-Fusion-Based Hybrid Deep Learning Architectures for Malware Detection.
.- AUSREGSE: Advanced Underwater Segmentation with ResNet50 with enhancement-guided Squeeze and Excitation Blocks.
.- Improvisation of Yolov4 Algorithm for Multiple Object Tracking Using Kalman Filtering Hungarian Method.
.- Saliency Guided Tile-Based Image Segmentation.
.- Deep Image Prior-Based Segmentation: A Study and proposal of Deeper U-Net.
.- Quantum Convolutional Neural Networks with Residual Learning: Advancing Quantum Model Architectures.
.- Enhancing LSTM-based Piano Music Generation with Self-Attention on the Lakh MIDI Dataset.