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Biblioteca

MARC Lista (tabellare)
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings / / edited by Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings / / edited by Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVIII, 870 p. 362 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Optical data processing
Computers
Computer security
Computer organization
Algorithms
Artificial Intelligence
Image Processing and Computer Vision
Information Systems and Communication Service
Systems and Data Security
Computer Systems Organization and Communication Networks
Algorithm Analysis and Problem Complexity
ISBN 3-030-00563-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural Computation -- Style Neutralization Generative Adversarial Classifier -- How Good a Shadow Neural Network is for Solving Non-linear Decision Making Problems -- Predicting Seminal Quality using Back-Propagation Neural Networks with Optimal Feature Subsets -- Deep Learning based Recommendation Algorithm in Online Medical Platform -- The Prediction Model of Saccade Target Based on LSTM-CRF for Chinese Reading -- Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features -- Fully Automatic Synaptic Cleft Detection and Segmentation From EM Images based on Deep Learning -- Deep Background Subtraction of Thermal and Visible Imagery for Pedestrian Detection in Videos -- Recent Advances in Deep Learning for Single Image Super-Resolution -- Using GAN to augment the synthesizing images from 3D models -- Deep Learning Based Single Image Super-resolution: A Survey -- DAU-GAN: Unsupervised object transfiguration via Deep Attention Unit -- Gravitational Search Optimized Hyperspectral Image Classification with Multilayer Perceptron -- 3-D Gabor Convolutional Neural Network for Damage Mapping from Post-earthquake High Resolution Images -- Biologically Inspired Systems -- A study of the role of attention in classifying covert and overt motor activities -- Attend to Knowledge: Memory-enhanced Attention Network for Image Captioning -- Direction Guided Cooperative Coevolutionary Differential Evolution Algorithm for Cognitive Modelling of Ray Tracing in Separable High Dimensional Space -- P300 brain waves instigated semi supervised video surveillance for inclusive security systems -- Motor Imagery EEG Recognition Based on FBCSP and PCA -- A Hybrid Brain-Computer Interface System Based on Motor Imageries and Eye-blinking -- Goal-directed behavior control based on the mechanism of neuromodulation -- Automated analysis of chest radiographs for cystic fibrosis scoring -- Mismatching Elimination Algorithm in SIFT Based on Function Fitting -- Novel Group Variable Selection for Salient Skull Region Selection and Sex Determination -- AFSnet: Fixation Prediction in Movie Scenes with Auxiliary Facial Saliency -- A Visual Attention Model based on Human Visual Cognition -- An Extended Common Spatial Pattern Framework for EEG-Based Emotion Classification -- CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm -- Early Identification of Alzheimer’s Disease Using An Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging -- Image Recognition: Detection, Tracking and Classification -- A Novel Semi-Supervised Classification Method Based on Class Certainty of Samples -- Texture Profiles and Composite Kernel Frame for Hyperspectral Image Classification -- High-resolution Image Classification using the Dynamic Differential Evolutionary Algorithm Optimized Multi-Scale Kernel Support Vector Machine Method -- Eigenface Algorithm-Based Facial Expression Recognition in Conversations - An Experimental Study -- Unsupervised Hyperspectral Band Selection Based on maximum Information Entropy and Determinantal Point Process -- Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery -- Gaussian-Staple for Robust Visual Object Real-Time Tracking -- Saliency-Weighted Global-Local Fusion for Person Re-identification -- Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification -- Local-Global Extraction Unit for Person Re-Identification -- Robust image corner detection based on maximum point–to–chord distance -- Fabric Defect Detection based on Sparse Representation Image Decomposition -- Salient Superpixel Visual Tracking with Coarse-to-Fine Segmentation and Manifold Ranking -- A Regenerated Feature Extraction Method for Cross-modal Image Registration -- Bottom-up Saliency Prediction by Simulating End-stopping with Log-Gabor -- Learning Collaborative Sparse Correlation Filter for Real-time Multispectral Object Tracking -- Saliency Detection via Multi-view Synchronized Manifold Ranking -- Robust Visual Tracking via Sparse Feature Selection and Weight Dictionary Update -- Saliency Detection via Bidirectional Absorbing Markov Chain -- Pedestrian Detection Based on HOG,LBP Features and Visual Saliency -- Data Analysis and Natural Language Processing -- Hadoop Massive Small File Merging Technology Based on Visiting Hot-spot and Associated File Optimization -- A Reversible Data Hiding Scheme Using Compressive Sensing and Random Embedding -- An Abnormal Behavior Clustering Algorithm Based on K-means -- Manifold-regularized Adaptive Lasso -- SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis -- Self-Validated Story Segmentation of Chinese Broadcast News -- Improved Big Data Analytics Solution Using Deep Learning Model and Real-Time Sentiment Data Analysis Approach -- A Semi-Supervised Corpus Annotation for Saudi Sentiment Analysis using Twitter -- Exploiting Deep Learning for Persian Sentiment Analysis -- Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction -- Comparison of Sentiment analysis approaches using modern Arabic and Sudanese Dialect -- An Intelligent Question Answering System for University Courses Based on BiLSTM and Keywords Similarity -- A Method for Calculating Patent Similarity Using Patent Model Tree Based on Neural Network -- An Optimal Solution of Storing and Processing Small Image Files on Hadoop -- A Big Data Analytics Platform for Information Sharing in the Connection between Administrative Law and Criminal Justice -- Applications -- RST I Invariant W Watermarking S Scheme Using Genetic Algorithm and DWT-SVD -- Application of VPN Based on L2TP and User’s Access Rights in Campus Network -- Improved reversible data hiding in JPEG images based on interval correlation -- Representing RCPBAC(Role-Involved Conditional Purpose-based Access Control) in Ontology and SWRL -- Real-time Image Deformation Using Locally-weighted Moving Least Squares -- Machine-learning-based Malware Detection for Virtual Machine by Analyzing Opcode Sequence -- A Trusted Connection Authentication Reinforced By Bayes Algorithm -- A Proactive Caching Strategy Based on Deep Learning in EPC of 5G -- Dynamic Hybrid Approaching for Robust Hand-Eye Calibration -- Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection -- Comparing Event Related Arousal-Valence and Focus among Different Viewing Perspectives in VR gaming -- A Novel Loop Subdivision for Continuity Surface -- Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study -- Shading Structure-Guided Depth Image Restoration -- Machine Learning for Muon Imaging -- Night View Road Scene Enhancement based on Mixed Multi-Scale Retinex and Fractional differentiation -- Traffic Image defogging based on Bit-plane Decomposition -- The Simulation of Non-Gaussian Scattering on Rough Sea Surface -- Distributed Multi-node of Fuzzy Control Considering Adjacent Node Effect for Temperature Control -- An Improved Tentative Q learning Algorithm for Robot Learning. .
Record Nr. UNINA-9910349402503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings / / edited by Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings / / edited by Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVIII, 870 p. 362 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Optical data processing
Computers
Computer security
Computer organization
Algorithms
Artificial Intelligence
Image Processing and Computer Vision
Information Systems and Communication Service
Systems and Data Security
Computer Systems Organization and Communication Networks
Algorithm Analysis and Problem Complexity
ISBN 3-030-00563-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural Computation -- Style Neutralization Generative Adversarial Classifier -- How Good a Shadow Neural Network is for Solving Non-linear Decision Making Problems -- Predicting Seminal Quality using Back-Propagation Neural Networks with Optimal Feature Subsets -- Deep Learning based Recommendation Algorithm in Online Medical Platform -- The Prediction Model of Saccade Target Based on LSTM-CRF for Chinese Reading -- Visual Cognition Inspired Vehicle Re-identification via Correlative Sparse Ranking with Multi-view Deep Features -- Fully Automatic Synaptic Cleft Detection and Segmentation From EM Images based on Deep Learning -- Deep Background Subtraction of Thermal and Visible Imagery for Pedestrian Detection in Videos -- Recent Advances in Deep Learning for Single Image Super-Resolution -- Using GAN to augment the synthesizing images from 3D models -- Deep Learning Based Single Image Super-resolution: A Survey -- DAU-GAN: Unsupervised object transfiguration via Deep Attention Unit -- Gravitational Search Optimized Hyperspectral Image Classification with Multilayer Perceptron -- 3-D Gabor Convolutional Neural Network for Damage Mapping from Post-earthquake High Resolution Images -- Biologically Inspired Systems -- A study of the role of attention in classifying covert and overt motor activities -- Attend to Knowledge: Memory-enhanced Attention Network for Image Captioning -- Direction Guided Cooperative Coevolutionary Differential Evolution Algorithm for Cognitive Modelling of Ray Tracing in Separable High Dimensional Space -- P300 brain waves instigated semi supervised video surveillance for inclusive security systems -- Motor Imagery EEG Recognition Based on FBCSP and PCA -- A Hybrid Brain-Computer Interface System Based on Motor Imageries and Eye-blinking -- Goal-directed behavior control based on the mechanism of neuromodulation -- Automated analysis of chest radiographs for cystic fibrosis scoring -- Mismatching Elimination Algorithm in SIFT Based on Function Fitting -- Novel Group Variable Selection for Salient Skull Region Selection and Sex Determination -- AFSnet: Fixation Prediction in Movie Scenes with Auxiliary Facial Saliency -- A Visual Attention Model based on Human Visual Cognition -- An Extended Common Spatial Pattern Framework for EEG-Based Emotion Classification -- CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm -- Early Identification of Alzheimer’s Disease Using An Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging -- Image Recognition: Detection, Tracking and Classification -- A Novel Semi-Supervised Classification Method Based on Class Certainty of Samples -- Texture Profiles and Composite Kernel Frame for Hyperspectral Image Classification -- High-resolution Image Classification using the Dynamic Differential Evolutionary Algorithm Optimized Multi-Scale Kernel Support Vector Machine Method -- Eigenface Algorithm-Based Facial Expression Recognition in Conversations - An Experimental Study -- Unsupervised Hyperspectral Band Selection Based on maximum Information Entropy and Determinantal Point Process -- Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery -- Gaussian-Staple for Robust Visual Object Real-Time Tracking -- Saliency-Weighted Global-Local Fusion for Person Re-identification -- Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification -- Local-Global Extraction Unit for Person Re-Identification -- Robust image corner detection based on maximum point–to–chord distance -- Fabric Defect Detection based on Sparse Representation Image Decomposition -- Salient Superpixel Visual Tracking with Coarse-to-Fine Segmentation and Manifold Ranking -- A Regenerated Feature Extraction Method for Cross-modal Image Registration -- Bottom-up Saliency Prediction by Simulating End-stopping with Log-Gabor -- Learning Collaborative Sparse Correlation Filter for Real-time Multispectral Object Tracking -- Saliency Detection via Multi-view Synchronized Manifold Ranking -- Robust Visual Tracking via Sparse Feature Selection and Weight Dictionary Update -- Saliency Detection via Bidirectional Absorbing Markov Chain -- Pedestrian Detection Based on HOG,LBP Features and Visual Saliency -- Data Analysis and Natural Language Processing -- Hadoop Massive Small File Merging Technology Based on Visiting Hot-spot and Associated File Optimization -- A Reversible Data Hiding Scheme Using Compressive Sensing and Random Embedding -- An Abnormal Behavior Clustering Algorithm Based on K-means -- Manifold-regularized Adaptive Lasso -- SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis -- Self-Validated Story Segmentation of Chinese Broadcast News -- Improved Big Data Analytics Solution Using Deep Learning Model and Real-Time Sentiment Data Analysis Approach -- A Semi-Supervised Corpus Annotation for Saudi Sentiment Analysis using Twitter -- Exploiting Deep Learning for Persian Sentiment Analysis -- Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction -- Comparison of Sentiment analysis approaches using modern Arabic and Sudanese Dialect -- An Intelligent Question Answering System for University Courses Based on BiLSTM and Keywords Similarity -- A Method for Calculating Patent Similarity Using Patent Model Tree Based on Neural Network -- An Optimal Solution of Storing and Processing Small Image Files on Hadoop -- A Big Data Analytics Platform for Information Sharing in the Connection between Administrative Law and Criminal Justice -- Applications -- RST I Invariant W Watermarking S Scheme Using Genetic Algorithm and DWT-SVD -- Application of VPN Based on L2TP and User’s Access Rights in Campus Network -- Improved reversible data hiding in JPEG images based on interval correlation -- Representing RCPBAC(Role-Involved Conditional Purpose-based Access Control) in Ontology and SWRL -- Real-time Image Deformation Using Locally-weighted Moving Least Squares -- Machine-learning-based Malware Detection for Virtual Machine by Analyzing Opcode Sequence -- A Trusted Connection Authentication Reinforced By Bayes Algorithm -- A Proactive Caching Strategy Based on Deep Learning in EPC of 5G -- Dynamic Hybrid Approaching for Robust Hand-Eye Calibration -- Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection -- Comparing Event Related Arousal-Valence and Focus among Different Viewing Perspectives in VR gaming -- A Novel Loop Subdivision for Continuity Surface -- Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study -- Shading Structure-Guided Depth Image Restoration -- Machine Learning for Muon Imaging -- Night View Road Scene Enhancement based on Mixed Multi-Scale Retinex and Fractional differentiation -- Traffic Image defogging based on Bit-plane Decomposition -- The Simulation of Non-Gaussian Scattering on Rough Sea Surface -- Distributed Multi-node of Fuzzy Control Considering Adjacent Node Effect for Temperature Control -- An Improved Tentative Q learning Algorithm for Robot Learning. .
Record Nr. UNISA-996466328303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIII, 368 p. 159 illus.)
Disciplina 153
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Pattern recognition
Information storage and retrieval
Computers
Algorithms
Artificial Intelligence
Information Systems Applications (incl. Internet)
Pattern Recognition
Information Storage and Retrieval
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
ISBN 3-319-49685-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain inspired cognitive systems.-Biologically inspired systems.-Cognitive neuroscience -- Models consciousness -- Neural computation.
Record Nr. UNISA-996465520803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIII, 368 p. 159 illus.)
Disciplina 153
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Pattern recognition
Information storage and retrieval
Computers
Algorithms
Artificial Intelligence
Information Systems Applications (incl. Internet)
Pattern Recognition
Information Storage and Retrieval
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
ISBN 3-319-49685-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain inspired cognitive systems.-Biologically inspired systems.-Cognitive neuroscience -- Models consciousness -- Neural computation.
Record Nr. UNINA-9910484356803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part V / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part V / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 706 p. 5 illus., 1 illus. in color.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Application software
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-030-69541-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Face, Pose, Action, and Gesture -- Video-Based Crowd Counting Using a Multi-Scale Optical Flow Pyramid Network -- RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition -- Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition -- Unpaired Multimodal Facial Expression Recognition -- Gaussian Vector: An Efficient Solution for Facial Landmark Detection -- A Global to Local Double Embedding Method for Multi-person Pose Estimation -- Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning -- MMD based Discriminative Learning for Face Forgery Detection -- RE-Net: A Relation Embedded Deep Model for AU Occurrence and Intensity Estimation -- Learning 3D Face Reconstruction with a Pose Guidance Network -- Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation -- Faster, Better and More Detailed: 3D Face Reconstruction with Graph Convolutional Networks -- Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending -- Rotation Axis Focused Attention Network (RAFA-Net) for Estimating Head Pose -- Unified Application of Style Transfer for Face Swapping and Reenactment -- Multiple Exemplars-based Hallucination for Face Super-resolution and Editing -- Imbalance Robust Softmax for Deep Embedding Learning -- Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency -- Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses -- 3D Human Motion Estimation via Motion Compression and Refinement -- Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-based Action Recognition -- DiscFace: Minimum Discrepancy Learning for Deep Face Recognition -- Uncertainty Estimation and Sample Selection for Crowd Counting -- Multi-Task Learning for Simultaneous Video Generation and Remote Photoplethysmography Estimation -- Video Analysis and Event Recognition -- Interpreting Video Features: A Comparison of 3D Convolutional Networks and Convolutional LSTM Networks -- Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval -- Active Learning for Video Description With Cluster-Regularized Ensemble Ranking -- Condensed Movies: Story Based Retrieval with Contextual Embeddings -- Play Fair: Frame Contributions in Video Models -- Transforming Multi-Concept Attention into Video Summarization -- Learning to Adapt to Unseen Abnormal Activities under Weak Supervision -- TSI: Temporal Scale Invariant Network for Action Proposal Generation -- Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting -- Reweighted Non-convex Non-smooth Rank Minimization based Spectral Clustering on Grassmann Manifold -- Biomedical Image Analysis -- Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction -- Hierarchical X-Ray Report Generation via Pathology tags and Multi Head Attention -- Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic Disease Classification and Localizationin Chest Radiographs -- MBNet: A Multi-Task Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-ray Images -- Attention-Based Fine-Grained Classification of Bone Marrow Cells -- Learning Multi-Instance Sub-pixel Point Localization -- Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images.
Record Nr. UNISA-996464410903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part VI / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part VI / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 705 p. 262 illus., 252 illus. in color.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Computer engineering
Computer networks
Artificial intelligence
Pattern recognition systems
Application software
Computer Vision
Computer Engineering and Networks
Artificial Intelligence
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-030-69544-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications of Computer Vision, Vision for X -- Query by Strings and Return Ranking Word Regions with Only One Look -- Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement -- FootNet: An efficient convolutional network for multiview 3D foot reconstruction -- Synthetic-to-real domain adaptation for lane detection -- RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations -- DoFNet: Depth of Field Difference Learning for Detecting Image Forgery -- Explaining image classifiers by removing input features using generative models -- Do We Need Sound for Sound Source Localization? -- Modular Graph Attention Network for Complex Visual Relational Reasoning -- CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON -- Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion -- Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation -- Sketch-to-Art: Synthesizing Stylized Art Images From Sketches -- Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation -- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection -- Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion -- Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization -- Watch, read and lookup: learning to spot signs from multiple supervisors -- Domain-transferred Face Augmentation Network -- Pose Correction Algorithm for Relative Frames between Keyframes in SLAM -- Dense-Scale Feature Learning in Person Re-Identification -- Class-incremental Learning with Rectified Feature-Graph Preservation -- Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation -- Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features -- Visually Guided Sound Source Separation using Cascaded Opponent Filter Network -- Channel Recurrent Attention Networks for Video Pedestrian Retrieval -- In Defense of LSTMs for Addressing Multiple Instance Learning Problems -- Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score -- Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information -- Datasets and Performance Analysis -- RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network -- Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning -- Compensating for the Lack of Extra Training Data by Learning Extra Representation -- Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance -- OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets -- Pre-training without Natural Images -- TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines -- A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera -- A Benchmark and Baseline for Language-Driven Image Editing -- Self-supervised Learning of Orc-Bert Augmentator for Recognizing Few-Shot Oracle Characters -- Understanding Motion in Sign Language: A New Structured Translation Dataset -- FreezeNet: Full Performance by Reduced Storage Costs.
Record Nr. UNISA-996464411703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part VI / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part VI / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 705 p. 262 illus., 252 illus. in color.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Computer engineering
Computer networks
Artificial intelligence
Pattern recognition systems
Application software
Computer Vision
Computer Engineering and Networks
Artificial Intelligence
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-030-69544-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications of Computer Vision, Vision for X -- Query by Strings and Return Ranking Word Regions with Only One Look -- Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement -- FootNet: An efficient convolutional network for multiview 3D foot reconstruction -- Synthetic-to-real domain adaptation for lane detection -- RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations -- DoFNet: Depth of Field Difference Learning for Detecting Image Forgery -- Explaining image classifiers by removing input features using generative models -- Do We Need Sound for Sound Source Localization? -- Modular Graph Attention Network for Complex Visual Relational Reasoning -- CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON -- Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion -- Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation -- Sketch-to-Art: Synthesizing Stylized Art Images From Sketches -- Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation -- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection -- Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion -- Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization -- Watch, read and lookup: learning to spot signs from multiple supervisors -- Domain-transferred Face Augmentation Network -- Pose Correction Algorithm for Relative Frames between Keyframes in SLAM -- Dense-Scale Feature Learning in Person Re-Identification -- Class-incremental Learning with Rectified Feature-Graph Preservation -- Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation -- Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features -- Visually Guided Sound Source Separation using Cascaded Opponent Filter Network -- Channel Recurrent Attention Networks for Video Pedestrian Retrieval -- In Defense of LSTMs for Addressing Multiple Instance Learning Problems -- Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score -- Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information -- Datasets and Performance Analysis -- RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network -- Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning -- Compensating for the Lack of Extra Training Data by Learning Extra Representation -- Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance -- OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets -- Pre-training without Natural Images -- TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines -- A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera -- A Benchmark and Baseline for Language-Driven Image Editing -- Self-supervised Learning of Orc-Bert Augmentator for Recognizing Few-Shot Oracle Characters -- Understanding Motion in Sign Language: A New Structured Translation Dataset -- FreezeNet: Full Performance by Reduced Storage Costs.
Record Nr. UNINA-9910483955803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part V / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part V / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 706 p. 5 illus., 1 illus. in color.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Application software
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-030-69541-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Face, Pose, Action, and Gesture -- Video-Based Crowd Counting Using a Multi-Scale Optical Flow Pyramid Network -- RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition -- Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition -- Unpaired Multimodal Facial Expression Recognition -- Gaussian Vector: An Efficient Solution for Facial Landmark Detection -- A Global to Local Double Embedding Method for Multi-person Pose Estimation -- Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning -- MMD based Discriminative Learning for Face Forgery Detection -- RE-Net: A Relation Embedded Deep Model for AU Occurrence and Intensity Estimation -- Learning 3D Face Reconstruction with a Pose Guidance Network -- Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation -- Faster, Better and More Detailed: 3D Face Reconstruction with Graph Convolutional Networks -- Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending -- Rotation Axis Focused Attention Network (RAFA-Net) for Estimating Head Pose -- Unified Application of Style Transfer for Face Swapping and Reenactment -- Multiple Exemplars-based Hallucination for Face Super-resolution and Editing -- Imbalance Robust Softmax for Deep Embedding Learning -- Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency -- Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses -- 3D Human Motion Estimation via Motion Compression and Refinement -- Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-based Action Recognition -- DiscFace: Minimum Discrepancy Learning for Deep Face Recognition -- Uncertainty Estimation and Sample Selection for Crowd Counting -- Multi-Task Learning for Simultaneous Video Generation and Remote Photoplethysmography Estimation -- Video Analysis and Event Recognition -- Interpreting Video Features: A Comparison of 3D Convolutional Networks and Convolutional LSTM Networks -- Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval -- Active Learning for Video Description With Cluster-Regularized Ensemble Ranking -- Condensed Movies: Story Based Retrieval with Contextual Embeddings -- Play Fair: Frame Contributions in Video Models -- Transforming Multi-Concept Attention into Video Summarization -- Learning to Adapt to Unseen Abnormal Activities under Weak Supervision -- TSI: Temporal Scale Invariant Network for Action Proposal Generation -- Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting -- Reweighted Non-convex Non-smooth Rank Minimization based Spectral Clustering on Grassmann Manifold -- Biomedical Image Analysis -- Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction -- Hierarchical X-Ray Report Generation via Pathology tags and Multi Head Attention -- Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic Disease Classification and Localizationin Chest Radiographs -- MBNet: A Multi-Task Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-ray Images -- Attention-Based Fine-Grained Classification of Bone Marrow Cells -- Learning Multi-Instance Sub-pixel Point Localization -- Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images.
Record Nr. UNINA-9910483955903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part IV / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part IV / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 715 p. 284 illus., 278 illus. in color.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Application software
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
Computer and Information Systems Applications
ISBN 3-030-69538-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep Learning for Computer Vision -- In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization -- Exploiting Transferable Knowledge for Fairness-aware Image Classification -- Introspective Learning by Distilling Knowledge from Online Self-explanation -- Hyperparameter-Free Out-of-Distribution Detection Using Cosine Similarity -- Meta-Learning with Context-Agnostic Initialisations -- Second Order enhanced Multi-glimpse Attention in Visual Question Answering -- Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection -- Unified Density-Aware Image Dehazing and Object Detection in Real-World Hazy Scenes -- Part-aware Attention Network for Person Re-Identification -- Image Captioning through Image Transformer -- Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration -- Learn more, forget less: Cues from human brain -- Knowledge Transfer Graph for Deep Collaborative Learning -- Regularizing Meta-Learning via Gradient Dropout -- Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks -- Towards Optimal Filter Pruning with Balanced Performance and Pruning Speed -- Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation -- Double Targeted Universal Adversarial Perturbations -- Adversarially Robust Deep Image Super-Resolution using Entropy Regularization -- Online Knowledge Distillation via Multi-branch Diversity Enhancement -- Rotation Equivariant Orientation Estimation for Omnidirectional Localization -- Contextual Semantic Interpretability -- Few-Shot Object Detection by Second-order Pooling -- Depth-Adapted CNN for RGB-D cameras -- Generative Models for Computer Vision -- Over-exposure Correction via Exposure and Scene Information Disentanglement -- Novel-View Human Action Synthesis -- Augmentation Network for Generalised Zero-Shot Learning -- Local Facial Makeup Transfer via Disentangled Representation -- OpenGAN: Open Set Generative Adversarial Networks -- CPTNet: Cascade Pose Transform Network for Single Image Talking Head Animation -- TinyGAN: Distilling BigGAN for Conditional Image Generation -- A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings -- RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation -- GAN-based Noise Model for Denoising Real Images -- Emotional Landscape Image Generation Using Generative Adversarial Networks -- Feedback Recurrent Autoencoder for Video Compression -- MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network -- DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution -- dpVAEs: Fixing Sample Generation for Regularized VAEs -- MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network -- EvolGAN: Evolutionary Generative Adversarial Networks -- Sequential View Synthesis with Transformer.
Record Nr. UNINA-9910484687303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part III / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Computer Vision – ACCV 2020 [[electronic resource] ] : 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part III / / edited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVIII, 757 p. 245 illus., 229 illus. in color.)
Disciplina 006.37
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
ISBN 3-030-69535-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Recognition and Detection -- End-to-end Model-based Gait Recognition -- Horizontal Flipping Assisted Disentangled Feature Learning for Semi-Supervised Person Re-Identification -- MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings -- Backbone Based Feature Enhancement for Object Detection -- Long-Term Cloth-Changing Person Re-identification -- Any-Shot Object Detection -- Background Learnable Cascade for Zero-Shot Object Detection -- Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation -- COG: COnsistent data auGmentation for object perception -- Synthesizing the Unseen for Zero-shot Object Detection -- Fully Supervised and Guided Distillation for One-Stage Detectors -- Visualizing Color-wise Saliency of Black-Box Image Classification Models -- ERIC: Extracting Relations Inferred from Convolutions -- D2D: Keypoint Extraction with Describe to Detect Approach -- Accurate Arbitrary-Shaped Scene Text Detection via Iterative Polynomial Parameter Regression -- Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds -- Efficient Large-Scale Semantic Visual Localization in 2D Maps -- Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild -- Scale-Aware Polar Representation for Arbitrarily-Shaped Text Detection -- Branch Interaction Network for Person Re-identification -- BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images -- Jointly Discriminating and Frequent Visual Representation Mining -- Discrete Spatial Importance-Based Deep Weighted Hashing -- Low-level Sensor Fusion Network for 3D Vehicle Detection using Radar Range-Azimuth Heatmap and Monocular Image -- MLIFeat: Multi-level information fusion based deep local features -- CLASS: Cross-Level Attention and Supervision for Salient Objects Detection -- Cascaded Transposed Long-range Convolutions for Monocular Depth Estimation -- Optimization, Statistical Methods, and Learning -- Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks -- Large-Scale Cross-Domain Few-Shot Learning -- Channel Pruning for Accelerating Convolutional Neural Networks via Wasserstein Metric -- Progressive Batching for Efficient Non-linear Least Squares -- Fast and Differentiable Message Passing on Pairwise Markov Random Fields -- A Calibration Method for the Generalized Imaging Model with Uncertain Calibration Target Coordinates -- Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network -- Towards Fast and Robust Adversarial Training for Image Classification -- Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision -- Lossless Image Compression Using a Multi-Scale Progressive Statistical Model -- Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue -- Robot Vision -- Point Proposal based Instance Segmentation with Rectangular Masks for Robot Picking Task -- Multi-task Learning with Future States for Vision-based Autonomous Driving -- MTNAS: Search Multi-Task Networks for Autonomous Driving -- Compact and Fast Underwater Segmentation Network for Autonomous Underwater Vehicles -- L2R GAN: LiDAR-to-Radar Translation -- V2A - Vision to Action: Learning robotic arm actions based on vision and language -- To Filter Prune, or to Layer Prune, That Is The Question.
Record Nr. UNINA-9910484791003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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