{"product_id":"computational-visual-media-9789819658145","title":"Computational Visual Media","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eImage and Video Analysis\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDepthFisheye: Efficient Fine-Tuning of Depth Estimation Models for Fisheye Cameras.- \u003cspan style=\"font-size: 10.5pt; mso-bidi-font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eDIMATrack: Dimension Aware Data Association for Multi-Object Tracking.- Efficient Transformer Network for Visible and Ultraviolet Object Tracking.- LightGR-Transformer: Light Grouped Residual Transformer for Multispectral Object Detection.- ADMMOA: Attribute-Driven Multimodal Optimization for Face Recognition Adversarial Attacks.- Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring.- \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMultimodal Learning\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eReinforced Label Denoising for Weakly-Supervised Audio-Visual Video Parsing.- \u003cspan style=\"font-size: 10.5pt; mso-bidi-font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eBridging the Modality Gap: Advancing Multimodal Human Pose Estimation with Modality-Adaptive Pose Estimator and Novel Benchmark Datasets.- Momentum-Based Uni-Modal Soft-Label Alignment and Multi-Modal Latent Projection Networks for Optimizing Image-Text Retrieval.- Multi-Granularity and Multi-Modal Prompt Learning for Person Re-Identification.- Local and Global Feature Cross-attention Multimodal Place Recognition.- IML-CMM - A Multimodal Sentiment Analysis Framework Integrating Intra-Modal Learning and Cross-Modal Mixup Enhancement.- \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGeometrical Processing\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eMCFG with GUMAP: A Simple and Effective Clustering Framework on Grassmann Manifold.- \u003cspan style=\"font-size: 10.5pt; mso-bidi-font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eJoint UMAP for Visualization of Time-Dependent Data.- Unsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space.- \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eLearning Adaptive Basis Fonts to Fuse Content Features for Few-shot Font Generation.- \u003cspan style=\"font-size: 10.5pt; mso-bidi-font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eTaiCrowd: A High-Performance Simulation Framework for Massive Crowd.-Feature Disentanglement and Fusion Model for Multi-Source Domain Adaptation with Domain-Specific Features.- A Trademark Retrieval Method Based on Self-Supervised Learning.- Weaken Noisy Feature: Boosting Semi-Supervised Learning by Noise Estimation.- Multi-Dimension Full Scene Integrated Visual Emotion Analysis Network.- Gap-KD: Bridging the Significant Capacity Gap Between Teacher and Student Model.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":51047507624279,"sku":"9789819658145","price":61.74,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computational-visual-media-9789819658145","provider":"Book Curl","version":"1.0","type":"link"}