Pattern Recognition and Computer Vision [[electronic resource] ] : Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part I / / edited by Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (655 pages) : illustrations (some color), charts |
Disciplina |
006.6
006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computers Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
ISBN | 3-030-31654-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Channel Feature Enhanced Detector for Small Ball Detection -- High-order Graph Convolutional Network for Skeleton-based Human Action Recognition -- Multi-scale Spatial-temporal Attention for Action Recognition -- Reading Digital Numbers of Water Meter with Deep Learning Based Object Detector -- Exploiting Category-level Semantic Relationships for Fine-grained Image Recognition -- On the Multi-scale Real-time Object Detection Using ResNet -- Learning Attention Regulizaiton Correlation Filter for Visual Tracking -- Target Tracking Via Two-branch Spatio-temporal Regularized Correlation Filter Network -- A Real-time Rock-Paper-Scissor Hand Gesture Recognition System Based on FlowNet and Event Camera -- Cross-category Cross-semantic Regularization for Fine-grained Image Recognition -- The Multi-task Fully Convolutional Siamese Network with Correlation Filter Layer for Real-time Visual Tracking -- Table Detection Using Boundary Refining via Corner Locating -- Dictionary Learning and Confidence Map Estimation-based Tracker for Robot-assisted Therapy System -- Power Line Corridor Lidar Point Cloud Segmentation Using Convolutional Neural Network -- Face Liveness Detection Based on Client Identity Using Siamese Network -- Learning Weighted Video Segments for Temporal Action Localization -- REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing -- Weakly-supervised Action Recognition and Localization via Knowledge Transfer -- Visual Tracking with Levy Flight Grasshopper Optimization Algorithm -- Exploring Context Information for Accurate and Fast Object Detection -- A Novel Method for Thermal Image Based Electrical-equipment Detection -- State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology -- Attention Based Convolutional Recurrent Neural Network for Environmental Sound Classification -- Salient Object Detection via Light-weight Multi-Path Refinement Networks -- Visual Object Tracking via An Improved Lightweight Siamese Network -- A Simple and Robust Attentional Encoder-decoder Model for License Plate Recognition -- Semi-supervised Deep Neural Networks for Object Detection in Video Surveillance Systems -- YNBIRDS: A System for Fine-grained Bird Image Recognition -- Quadratic Approximation Greedy Pursuit for Cardinality-constrained Sparse Learning -- Iterative Discriminative Domain Adaptation -- Common Structured Low-rank Matrix Recovery for Cross-view Classification -- Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding -- Channel and Constraint Compensation for Generative Adversarial Networks -- Faster Real-time Face Alignment Method on CPU -- A Siamese Pedestrian Alignment Network for Person Re-identification -- Training Low Bitwidth Model with Weight Normalization for Convolutional Neural Networks -- Virtual Adversarial Training on Graph Convolutional Networks in Node Classification -- Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network -- Attention-based Label Consistency for Semi-supervised Deep Learning -- Semantic Reanalysis of Scene Words in Visual Question Answering -- A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification -- Spatial-temporal Fusion Network with Residual Learning and Attention Mechanism: A Benchmark for Video-based Group Re-ID -- Architectural Style Classification Based on DNN Model -- DAEIMP: Denoising Autoencoder-based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases -- Fabric Defect Detection Based on Lightweight Neural Network -- Person Re-identification with Neural Architecture Search -- Deep Convolutional Center-based Clustering -- Exponential Moving Averaged Q-network for DDPG -- Multi-scale Convolutional Neural Network Based on 3D Context Fusion for Lesion Detection -- Orientation Adaptive YOLOv3 for Object Detection in Remote Sensing Images -- Neural Ordinary Differential Equations with Envolutionary Weights -- Infrared Image Segmentation for Photovoltaic Panels Based on Res-UNet. |
Record Nr. | UNISA-996466571903316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Pattern Recognition and Computer Vision [[electronic resource] ] : Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part II / / edited by Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (831 pages) : illustrations (some color), charts |
Disciplina |
006.6
006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computer organization Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks |
ISBN | 3-030-31723-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466273003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Pattern Recognition and Computer Vision [[electronic resource] ] : Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part III / / edited by Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (562 pages) : illustrations (some color), charts |
Disciplina |
006.6
006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Image Processing and Computer Vision Pattern Recognition Artificial Intelligence |
ISBN | 3-030-31726-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466570903316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Pattern Recognition and Computer Vision : Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part III / / edited by Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (562 pages) : illustrations (some color), charts |
Disciplina |
006.6
006.37 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Image Processing and Computer Vision Pattern Recognition Artificial Intelligence |
ISBN | 3-030-31726-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910349268403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Pattern Recognition and Computer Vision : Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part II / / edited by Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (831 pages) : illustrations (some color), charts |
Disciplina |
006.6
006.37 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computer organization Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks |
ISBN | 3-030-31723-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910349268503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Pattern Recognition and Computer Vision : Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part I / / edited by Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (655 pages) : illustrations (some color), charts |
Disciplina |
006.6
006.37 006.4 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computers Image Processing and Computer Vision Artificial Intelligence Information Systems and Communication Service |
ISBN | 3-030-31654-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Channel Feature Enhanced Detector for Small Ball Detection -- High-order Graph Convolutional Network for Skeleton-based Human Action Recognition -- Multi-scale Spatial-temporal Attention for Action Recognition -- Reading Digital Numbers of Water Meter with Deep Learning Based Object Detector -- Exploiting Category-level Semantic Relationships for Fine-grained Image Recognition -- On the Multi-scale Real-time Object Detection Using ResNet -- Learning Attention Regulizaiton Correlation Filter for Visual Tracking -- Target Tracking Via Two-branch Spatio-temporal Regularized Correlation Filter Network -- A Real-time Rock-Paper-Scissor Hand Gesture Recognition System Based on FlowNet and Event Camera -- Cross-category Cross-semantic Regularization for Fine-grained Image Recognition -- The Multi-task Fully Convolutional Siamese Network with Correlation Filter Layer for Real-time Visual Tracking -- Table Detection Using Boundary Refining via Corner Locating -- Dictionary Learning and Confidence Map Estimation-based Tracker for Robot-assisted Therapy System -- Power Line Corridor Lidar Point Cloud Segmentation Using Convolutional Neural Network -- Face Liveness Detection Based on Client Identity Using Siamese Network -- Learning Weighted Video Segments for Temporal Action Localization -- REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing -- Weakly-supervised Action Recognition and Localization via Knowledge Transfer -- Visual Tracking with Levy Flight Grasshopper Optimization Algorithm -- Exploring Context Information for Accurate and Fast Object Detection -- A Novel Method for Thermal Image Based Electrical-equipment Detection -- State Detection of Electrical Equipment Based on Infrared Thermal Imaging Technology -- Attention Based Convolutional Recurrent Neural Network for Environmental Sound Classification -- Salient Object Detection via Light-weight Multi-Path Refinement Networks -- Visual Object Tracking via An Improved Lightweight Siamese Network -- A Simple and Robust Attentional Encoder-decoder Model for License Plate Recognition -- Semi-supervised Deep Neural Networks for Object Detection in Video Surveillance Systems -- YNBIRDS: A System for Fine-grained Bird Image Recognition -- Quadratic Approximation Greedy Pursuit for Cardinality-constrained Sparse Learning -- Iterative Discriminative Domain Adaptation -- Common Structured Low-rank Matrix Recovery for Cross-view Classification -- Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding -- Channel and Constraint Compensation for Generative Adversarial Networks -- Faster Real-time Face Alignment Method on CPU -- A Siamese Pedestrian Alignment Network for Person Re-identification -- Training Low Bitwidth Model with Weight Normalization for Convolutional Neural Networks -- Virtual Adversarial Training on Graph Convolutional Networks in Node Classification -- Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network -- Attention-based Label Consistency for Semi-supervised Deep Learning -- Semantic Reanalysis of Scene Words in Visual Question Answering -- A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification -- Spatial-temporal Fusion Network with Residual Learning and Attention Mechanism: A Benchmark for Video-based Group Re-ID -- Architectural Style Classification Based on DNN Model -- DAEIMP: Denoising Autoencoder-based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases -- Fabric Defect Detection Based on Lightweight Neural Network -- Person Re-identification with Neural Architecture Search -- Deep Convolutional Center-based Clustering -- Exponential Moving Averaged Q-network for DDPG -- Multi-scale Convolutional Neural Network Based on 3D Context Fusion for Lesion Detection -- Orientation Adaptive YOLOv3 for Object Detection in Remote Sensing Images -- Neural Ordinary Differential Equations with Envolutionary Weights -- Infrared Image Segmentation for Photovoltaic Panels Based on Res-UNet. |
Record Nr. | UNINA-9910349268603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|