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Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part IX / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part IX / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN |
9789819786923
9819786924 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Organization -- Contents – Part IX -- Low-Level Vision and lmage Processing II -- Fine-Grained Adjustable Entropy Models for Rate-Complexity Jointly Adjustable Image Compression -- 1 Introduction -- 2 Proposed Method -- 2.1 Framework Construction of the Networks -- 2.2 Implementation and Optimization -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 R-D and Efficiency Performance -- 3.3 Visual Results -- 4 Conclusion -- References -- FPSNet: Focus-Perceptual-Semantic Full Flow Visual Redundancy Predicting for Camera Image -- 1 Instruction -- 2 Proposed Method -- 2.1 Overall Framework -- 2.2 Feature Pre-extraction -- 2.3 Network Design -- 3 Experiment -- 3.1 Protocol -- 3.2 Quantitative Analysis -- 3.3 Qualitative Analysis -- 3.4 Ablation Experiment -- 4 Conclusion -- References -- Semantic-Aware Global and Local Fusion Model for Image Enhancement -- 1 Introduction |
| Record Nr. | UNINA-9910983299703321 |
Lin Zhouchen
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part III / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part III / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (524 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN |
9789819785025
9819785022 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method -- Foreground-Background Partitioning and Feature Fusion for Weakly Supervised Fine-grained Image Recognition -- DARTS-CGW: Research on Differentiable Neural Architecture Search Algorithm Based on Coarse Gradient Weighting -- PanoDthNet: Depth estimation based on indoor and outdoor panoramic images -- A Supervised Domain Adaptation Method with Alignment Regularization for Low-light Facial Expression Recognition -- DiffuSaliency: Synthesizing Multi-Object Images with Masks for Semantic Segmentation Using Diffusion and Saliency Detection -- EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation -- Fine-tuning of CLIP in Few-shot Scenarios via Supervised Contrastive Learning -- A Stereo Matching Method for Specular Objects via Cascaded Network and Joint Supervision -- An Asymmetric Game Theoretic Learning Model -- Learning 360° Optical Flow using Tangent Images and Transformer -- ODAdapter: An effective method of Semi-Supervised Object Detection for Aerial Images -- Frequency-domain Transformation-based Dynamic Gesture Recognition with skeleton -- MRGN: Multiscale Relation-gated Graph Network for Entity Alignment -- Adaptive Selective Knowledge Distillation: not blindly accepting teachers as Oracles -- Periodic Iterative Segmentation-Colorization Training: Line Drawing Colorization Using Text Tag with CBAMCat -- Histogram Prediction and Equalization for Indoor Monocular Depth Estimation -- SheepNet: Rapid Sheep Face Recognition Based on Attention and Knowledge Distillation -- LPMANet:A Lightweight Partial Multilayer Aggregation Network for Tiny Drone Detection -- HiTraj: Heterogeneous Interaction Learning with Transformers for Trajectory Prediction -- Adaptive Knowledge Matching for Exemplar-Free Class-Incremental Learning Focusing on Significant Guidance: Preliminary Knowledge Guided Distillation -- ESTOR:Enumerate-Specify-Tutor Mechanism Used of Lexicon in Chinese NER -- EBSD: Short Text Sentiment Classification Using Sentence Vector Enhancement Mechanism -- CEDP-YOLO: UAV Object Detection Based on Context Enhancement and Dynamic Perception -- TLLFusion: An End-to-End Transformer-Based Method for Low-Light Infrared and Visible Image Fusion -- BD-YOLO : High-precision lightweight concrete bubble detector based on YOLOv7 -- Semantic Consistency-Enhanced Refined Hashing for Fine-Grained Image Retrieval -- Frequency Feature Enhanced Mix Calibration Attention Network for Sequential Recommendation -- CFMISA: Cross-modal Fusion of Modal Invariant and Specific Representations for Multimodal Sentiment Analysis -- A Privacy-Preserving Source Code Vulnerability Detection Method -- Physically Informed Prior and Cross-Correlation Constraint for Fine-grained Road Crack Segmentation -- AFSNet: Adaptive Feature Suppression Network for Remote Sensing Image Change Detection -- BIVL-Net: Bidirectional Vision-Language Guidance for Visual Question Answering -- Enhancing Task Identification through Pseudo-OOD Features for Class-Incremental Learning. |
| Record Nr. | UNINA-9910983308603321 |
|
Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part IV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part IV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (524 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN |
9789819785056
9819785057 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contextual Feature-Based Medical Visual Question Answering Aided by Learnable Matrix -- ImgQuant: Towards adversarial defense with robust boundary via dual-image quantization -- Swelling-ViT: Rethink Data-efficient Vision Transformer from Locality -- Target-Specific Domain Adaptation via Geometry-Correlation Prediction for Point Cloud -- Dual-stream Network of Vision Mamba and CNN with Auto-scaling for Remote Sensing Image Segmentation -- PRM: A Pixel-Region-Matching Approach for Fast Video Object Segmentation -- A Novel Combined GAN for Defects Generation using Masking Mechanisms -- Semi-supervised lightweight fabric defect detection -- Semi-adaptive Synergetic Two-way Pseudoinverse Learning System -- Invariant Risk Minimization Augmentation for Graph Contrastive Learning -- Enhancing Fast Adversarial Training with Learnable Adversarial Perturbations -- DTAFORMER: Directional Time Attention Transformer For Long-Term Series Forecasting -- Unpaired Multi-scenario Sketch Synthesis via Texture Enhancement -- ISO-VTON: Fine-Grained Style-Local Flows with Dual Cross-Attention for Immersive Outfitting -- Near-surface Air Temperature Inversion Study Based on U-Net Family with Multi-source Data -- Relation Detection with Transformers for Panoptic Scene Graph Generation -- WEDNet: A Wavelet Enhanced Detail Network for Low-Light Image Enhancement -- Textureness-Aware Neural Network for Edge Detection -- Enhancing the Transferability and Stealth of Deepfake Detection Attacks Through Latent Diffusion Models -- Backdoor Richer Watermarks using Dynamic Mask Covering for Dual Identity Verification -- Pedestrian Trajectory Prediction using Spatio-Temporal VAE -- Real-Time DEtection TRansformer with Bi-Level Routing Attention -- NFP-UNet: Deep Learning Estimation of Placeable Areas for 2D Irregular Packing -- Advancements in Photorealistic Style Translation with a Hybrid Generative Adversarial Network -- Transformer Image Quality Assessment Based on Multi-Directional Feature Extraction -- MRGAN: LightWeight Monaural Speech Enhancement using GAN Network -- Data augmentation guided Decouple Knowledge Distillation for low-resolution fine-grained image classification -- GAN-Diffusion Relay Model: Advancing Semantic Image Synthesis -- Virtual Student Distribution Knowledge Distillation for Long-tailed Recognition -- Open-Vocabulary Instance Segmentation-Boundary IS-Goal -- 3DLaneFormer: End-to-End 3D Lane Detection with Voxel Descriptors -- More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation -- Centroid-centered Modeling for Efficient Vision Transformer Pre-training -- Spectral–Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification -- Local reactivation for communication efficient federated learning based on sparse gradient deviation. |
| Record Nr. | UNINA-9910983495003321 |
|
Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part V / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part V / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (641 pages) |
| Disciplina | 006 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9786-20-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983043103321 |
|
Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XIV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XIV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (586 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9784-96-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Fine-grained Recurrent Network for Image Segmentation via Vector Field Guided Refinement -- Semi-supervised Medical Image Segmentation with Strong/Weak Task-aware Consistency -- Steerable Pyramid Transform Enables Robust Left Ventricle Quantification -- Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation -- MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation -- Enhancing Hippocampus Segmentation: Swin -- UNETR Model Optimization with CPS -- Uncertainty-inspired Credible Pseudo-Labeling in Semi-Supervised Medical Image Segmentation -- MFPNet: Mixed Feature Perception Network for Automated Skin Lesion Segmentation -- LD-BSAM:Combined Latent Diffusion with Bounding SAM for HIFU target region segmentation -- Hierarchical Decoder with Parallel Transformer and CNN for Medical Image Segmentation. -CLASS-AWARE CROSS PSEUDO SUPERVISION FRAMEWORK FOR SEMI-SUPERVISED MULTI-ORGAN SEGMENTATION IN ABDOMINAL CT -- SCANSAPAN: Anti-curriculum Pseudo-labelling and Adversarial Noises Training for Semi-supervised Medical Image Classification -- Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma -- Growing with the help of multiple teachers: lightweight and noise-resistant student model for medical image classification -- DRA-CN: A novel Dual-Resolution Attention Capsule Network for Histopathology Image Classification -- A Mask Guided Network for Self-Supervised Low-Dose CT ImagingDental Diagnosis from X-Ray Panoramic Radiography Images: A Dataset and A Hybrid Framework -- Edge-Guided Bidirectional-Attention Residual Network for Polyp SegmentationFrom Coarse to Fine: A Novel Colon Polyp Segmentation Method Like Human Observation -- Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification -- Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation -- Continual Learning for Fundus Image Segmentation -- Embedded Deep Learning Based CT Images for Rifampicin Resistant Tuberculosis Diagnosis -- Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation -- Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Segmentation -- Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation -- ODC-SA Net: Orthogonal Direction Enhancement and Scale Aware Network for Polyp Segmentation -- Two-Stage Multi-Scale Feature Fusion for Small Medical Object Segmentation -- A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation -- SPARK: Cross-Guided Knowledge Distillation with Spatial Position Augmentation for Medical Image Segmentation -- VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation -- DTIL-Net: Dual-Task Interactive Learning Network for Automated Grading of Diabetic Retinopathy and Macular Edema -- DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans -- InsSegLN: A Novel 3D Instance Segmentation Method for Mediastinal Lymph NodeRRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound ImagesLearning Frequency and Structure in UDA for Medical Object Detection -- Skin Lesion Segmentation Method Based On Global Pixel Weighted Focal Loss -- Competing Dual-Network with Pseudo-Supervision Rectification for Semi-Supervised Medical Image Segmentation -- Dual-Branch Perturbation and Conflict-Based Scribble-Supervised Meibomian Gland Segmentation. |
| Record Nr. | UNINA-9910983088003321 |
|
Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VI / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VI / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (621 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9785-08-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Visual Harmony: LLM's Power in Crafting Coherent Indoor Scenes from ImagesSuperpixel Cost Volume Excitation for Stereo MatchingMulti-view Depth Estimation with Adaptive Feature Extraction and Region-Aware Depth Prediction3D Data Augmentation for Driving Scenes on CameraA Pose-Aware Auto-Augmentation Framework for 3D Human Pose and Shape Estimation from Partial Point CloudsEfficient Emotional Talking Head Generation via Dynamic 3D Gaussian RenderingGeneralizable Geometry-aware Human Radiance Modeling from Multi-view ImagesAG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene RenderingJPA: A Joint-Part Attention for Mitigating Overfocusing on 3D Human Pose EstimationRealistic and Visually-pleasing 3D Generation of Indoor Scenes from a Single ImageAttenPoint: Exploring Point Cloud Segmentation through Attention-Based ModulesMTFusion: Reconstructing Any 3D Object from Single Image Using Multi-Word Textual InversionMulti-view 3D Reconstruction by Fusing Polarization InformationQuat-DGNet: Enhancing 3D Dense Captioning with Quaternion-Based Spatial Offsets and Dynamic Neighborhood GraphsDisparity Refinement Based on Cross-Modal Feature Fusion and Global Hourglass Aggregation for Robust Stereo Matching -- Trajectory-based Calibration for Optical See-Through Head-Mounted Displays without Alignment -- Animatable Human Rendering from Monocular Video via Pose-Independent Deformation -- Maximum Spanning Tree for 3D Point Cloud RegistrationLearning the Dynamic Spatio-Temporal Relationship Between Joints for 3D Human Pose Estimation -- MaskEditor: Instruct 3D Object Editing with Learned MasksDyGASR: Dynamic Generalized Gaussian Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction -- MMIDM:Generating 3D Gesture from Multimodal Inputs with Diffusion Models -- Discriminative-guided Diffusion-based Self-supervised Monocular Depth Estimation -- Multiview Light Field Angular Super-Resolution based on View Alignment and Frequency Attention -- MagicGS: Combining 2D and 3D Priors for Effective 3D Content Generation -- ESD-Pose: Enhanced Semantic Discrimination for Generalizable 6D Pose EstimationTrans-DONeRF for Transparent Object Rendering with Mixed Depth Prior -- SFDNeRF: A Semantic Feature-Driven Few-Shot Neural Radiance Field Framework with Hybrid Regularization -- TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation -- Decomposed Latent Diffusion Model for 3D Point Cloud Generation -- Learning Multi-Branch Attention Networks for 3D Face Reconstruction -- CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object DetectionCross Modality Fusion Network with Feature Alignment and Salient Object Exchange for Single Image 3D Shape Retrieval -- Enhanced Spatial Adaptive Fusion Network For Video Super-ResolutionMulti-3D Occlusion Mask Learning for Flexible Occlusion Removal in Neural Radiance Fields -- Sketch-Based 3D Shape Retrieval via Cross-Modal Contrastive Learning and Difficulty-Aware Uncertainty Regularization -- Residual Hybrid Attention Enhanced Video Super-Resolution with Cross Convolution -- SDFReg: Learning Signed Distance Functions for Point Cloud Registration -- Unfolding Gradient Graph Regularization for Point Cloud Color Denoising -- ER-SFM: EFFICIENT AND ROBUST CLUSTER-BASED STRUCTURE FROM MOTION -- Multimodal Token Fusion and Optimization for 3D Human Mesh Reconstruction with Transformers. |
| Record Nr. | UNINA-9910983329303321 |
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Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VIII / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VIII / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (598 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9786-85-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983319703321 |
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Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XIV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part XIV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (586 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9784-96-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Fine-grained Recurrent Network for Image Segmentation via Vector Field Guided Refinement -- Semi-supervised Medical Image Segmentation with Strong/Weak Task-aware Consistency -- Steerable Pyramid Transform Enables Robust Left Ventricle Quantification -- Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation -- MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation -- Enhancing Hippocampus Segmentation: Swin -- UNETR Model Optimization with CPS -- Uncertainty-inspired Credible Pseudo-Labeling in Semi-Supervised Medical Image Segmentation -- MFPNet: Mixed Feature Perception Network for Automated Skin Lesion Segmentation -- LD-BSAM:Combined Latent Diffusion with Bounding SAM for HIFU target region segmentation -- Hierarchical Decoder with Parallel Transformer and CNN for Medical Image Segmentation. -CLASS-AWARE CROSS PSEUDO SUPERVISION FRAMEWORK FOR SEMI-SUPERVISED MULTI-ORGAN SEGMENTATION IN ABDOMINAL CT -- SCANSAPAN: Anti-curriculum Pseudo-labelling and Adversarial Noises Training for Semi-supervised Medical Image Classification -- Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma -- Growing with the help of multiple teachers: lightweight and noise-resistant student model for medical image classification -- DRA-CN: A novel Dual-Resolution Attention Capsule Network for Histopathology Image Classification -- A Mask Guided Network for Self-Supervised Low-Dose CT ImagingDental Diagnosis from X-Ray Panoramic Radiography Images: A Dataset and A Hybrid Framework -- Edge-Guided Bidirectional-Attention Residual Network for Polyp SegmentationFrom Coarse to Fine: A Novel Colon Polyp Segmentation Method Like Human Observation -- Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification -- Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation -- Continual Learning for Fundus Image Segmentation -- Embedded Deep Learning Based CT Images for Rifampicin Resistant Tuberculosis Diagnosis -- Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation -- Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Segmentation -- Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation -- ODC-SA Net: Orthogonal Direction Enhancement and Scale Aware Network for Polyp Segmentation -- Two-Stage Multi-Scale Feature Fusion for Small Medical Object Segmentation -- A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation -- SPARK: Cross-Guided Knowledge Distillation with Spatial Position Augmentation for Medical Image Segmentation -- VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation -- DTIL-Net: Dual-Task Interactive Learning Network for Automated Grading of Diabetic Retinopathy and Macular Edema -- DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans -- InsSegLN: A Novel 3D Instance Segmentation Method for Mediastinal Lymph NodeRRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound ImagesLearning Frequency and Structure in UDA for Medical Object Detection -- Skin Lesion Segmentation Method Based On Global Pixel Weighted Focal Loss -- Competing Dual-Network with Pseudo-Supervision Rectification for Semi-Supervised Medical Image Segmentation -- Dual-Branch Perturbation and Conflict-Based Scribble-Supervised Meibomian Gland Segmentation. |
| Record Nr. | UNISA-996630866503316 |
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Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VI / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VI / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (621 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9785-08-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Visual Harmony: LLM's Power in Crafting Coherent Indoor Scenes from ImagesSuperpixel Cost Volume Excitation for Stereo MatchingMulti-view Depth Estimation with Adaptive Feature Extraction and Region-Aware Depth Prediction3D Data Augmentation for Driving Scenes on CameraA Pose-Aware Auto-Augmentation Framework for 3D Human Pose and Shape Estimation from Partial Point CloudsEfficient Emotional Talking Head Generation via Dynamic 3D Gaussian RenderingGeneralizable Geometry-aware Human Radiance Modeling from Multi-view ImagesAG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene RenderingJPA: A Joint-Part Attention for Mitigating Overfocusing on 3D Human Pose EstimationRealistic and Visually-pleasing 3D Generation of Indoor Scenes from a Single ImageAttenPoint: Exploring Point Cloud Segmentation through Attention-Based ModulesMTFusion: Reconstructing Any 3D Object from Single Image Using Multi-Word Textual InversionMulti-view 3D Reconstruction by Fusing Polarization InformationQuat-DGNet: Enhancing 3D Dense Captioning with Quaternion-Based Spatial Offsets and Dynamic Neighborhood GraphsDisparity Refinement Based on Cross-Modal Feature Fusion and Global Hourglass Aggregation for Robust Stereo Matching -- Trajectory-based Calibration for Optical See-Through Head-Mounted Displays without Alignment -- Animatable Human Rendering from Monocular Video via Pose-Independent Deformation -- Maximum Spanning Tree for 3D Point Cloud RegistrationLearning the Dynamic Spatio-Temporal Relationship Between Joints for 3D Human Pose Estimation -- MaskEditor: Instruct 3D Object Editing with Learned MasksDyGASR: Dynamic Generalized Gaussian Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction -- MMIDM:Generating 3D Gesture from Multimodal Inputs with Diffusion Models -- Discriminative-guided Diffusion-based Self-supervised Monocular Depth Estimation -- Multiview Light Field Angular Super-Resolution based on View Alignment and Frequency Attention -- MagicGS: Combining 2D and 3D Priors for Effective 3D Content Generation -- ESD-Pose: Enhanced Semantic Discrimination for Generalizable 6D Pose EstimationTrans-DONeRF for Transparent Object Rendering with Mixed Depth Prior -- SFDNeRF: A Semantic Feature-Driven Few-Shot Neural Radiance Field Framework with Hybrid Regularization -- TriEn-Net: Non-parametric Representation Learning for Large-Scale Point Cloud Semantic Segmentation -- Decomposed Latent Diffusion Model for 3D Point Cloud Generation -- Learning Multi-Branch Attention Networks for 3D Face Reconstruction -- CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object DetectionCross Modality Fusion Network with Feature Alignment and Salient Object Exchange for Single Image 3D Shape Retrieval -- Enhanced Spatial Adaptive Fusion Network For Video Super-ResolutionMulti-3D Occlusion Mask Learning for Flexible Occlusion Removal in Neural Radiance Fields -- Sketch-Based 3D Shape Retrieval via Cross-Modal Contrastive Learning and Difficulty-Aware Uncertainty Regularization -- Residual Hybrid Attention Enhanced Video Super-Resolution with Cross Convolution -- SDFReg: Learning Signed Distance Functions for Point Cloud Registration -- Unfolding Gradient Graph Regularization for Point Cloud Color Denoising -- ER-SFM: EFFICIENT AND ROBUST CLUSTER-BASED STRUCTURE FROM MOTION -- Multimodal Token Fusion and Optimization for 3D Human Mesh Reconstruction with Transformers. |
| Record Nr. | UNISA-996630861503316 |
|
Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VIII / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
| Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part VIII / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Autore | Lin Zhouchen |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (598 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChengMing-Ming
HeRan UbulKurban SilamuWushouer ZhaHongbin ZhouJie LiuCheng-Lin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Artificial intelligence Application software Computer networks Computer systems Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Computer and Information Systems Applications Computer Communication Networks Computer System Implementation Machine Learning |
| ISBN | 981-9786-85-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996630866703316 |
|
Lin Zhouchen
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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