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001434675 020__ $$a9783030695323$$q(electronic bk.)
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001434675 0247_ $$a10.1007/978-3-030-69532-3$$2doi
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001434675 049__ $$aISEA
001434675 050_4 $$aTA1634
001434675 08204 $$a006.3/7$$223
001434675 1112_ $$aAsian Conference on Computer Vision$$n(15th :$$d2020 :$$cOnline)
001434675 24510 $$aComputer vision - ACCV 2020 :$$b15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers.$$nPart II /$$cHiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi (eds.).
001434675 24630 $$aACCV 2020
001434675 264_1 $$aCham :$$bSpringer,$$c[2021]
001434675 300__ $$a1 online resource (xxviii, 718 pages) :$$billustrations
001434675 336__ $$atext$$btxt$$2rdacontent
001434675 337__ $$acomputer$$bc$$2rdamedia
001434675 338__ $$aonline resource$$bcr$$2rdacarrier
001434675 347__ $$atext file
001434675 347__ $$bPDF
001434675 4901_ $$aLecture notes in computer science ;$$v12623
001434675 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
001434675 500__ $$aInternational conference proceedings.
001434675 500__ $$aIncludes author index.
001434675 5050_ $$aLow-Level Vision, Image Processing -- Image Inpainting with Onion Convolutions -- Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network -- Second-order Camera-aware Color Transformation for Cross-domain Person Re-identification -- CS-MCNet:A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation -- MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining -- Degradation Model Learning for Real-World Single Image Super-resolution -- Chromatic Aberration Correction Using Cross-Channel Prior in Shearlet Domain -- Raw-Guided Enhancing Reprocess of Low-Light Image via Deep Exposure Adjustment -- Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallax -- Low-light Color Imaging via Dual Camera Acquisition -- Frequency Attention Network: Blind Noise Removal for Real Images -- Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network -- ^Color Enhancement using Global Parameters and Local Features Learning -- An Efficient Group Feature Fusion Residual Network for Image Super-Resolution -- Adversarial Image Composition with Auxiliary Illumination -- Overwater Image Dehazing via Cycle-Consistent Generative Adversarial Network -- Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning -- Multi-scale Attentive Residual Dense Network for Single Image Rain Removal -- FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization -- Human Motion Deblurring using Localized Body Prior -- Synergistic Saliency and Depth Prediction for RGB-D Saliency Detection -- Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array -- Deep Priors inside an Unrolled and Adaptive Deconvolution Model -- Motion and Tracking -- Adaptive Spatio-Temporal Regularized Correlation Filters for UAV-based Tracking -- ^Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation -- Self-supervised Sparse to Dense Motion Segmentation -- Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras -- Adversarial Refinement Network for Human Motion Prediction -- Semantic Synthesis of Pedestrian Locomotion -- Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation -- Visual Tracking by TridentAlign and Context Embedding -- Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking -- A Two-Stage Minimum Cost Multicut Approach to Self-Supervised Multiple Person Tracking -- Learning Local Feature Descriptors for Multiple Object Tracking -- VAN: Versatile Affinity Network for End-to-end Online Multi-Object Tracking -- COMET: Context-Aware IoU-Guided Network for Small Object Tracking -- Adversarial Semi-Supervised Multi-Domain Tracking -- Tracking-by-Trackers with a Distilled and Reinforced Model -- ^Motion Prediction Using Temporal Inception Module -- A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking -- Modeling Cross-Modal interaction in a Multi-detector, Multi-modal Tracking Framework -- Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern.
001434675 506__ $$aAccess limited to authorized users.
001434675 520__ $$aThe six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.
001434675 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2021).
001434675 650_0 $$aComputer vision$$vCongresses.
001434675 650_0 $$aOptical data processing.
001434675 650_0 $$aArtificial intelligence.
001434675 650_0 $$aPattern perception.
001434675 650_0 $$aComputer organization.
001434675 650_0 $$aComputers.
001434675 650_6 $$aVision par ordinateur$$vCongrès.
001434675 650_6 $$aTraitement optique de l'information.
001434675 650_6 $$aIntelligence artificielle.
001434675 650_6 $$aPerception des structures.
001434675 650_6 $$aOrdinateurs$$xConception et construction.
001434675 650_6 $$aOrdinateurs.
001434675 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434675 655_7 $$aConference papers and proceedings.$$2lcgft
001434675 655_7 $$aActes de congrès.$$2rvmgf
001434675 655_0 $$aElectronic books.
001434675 7001_ $$aIshikawa, Hiroshi,$$eeditor.
001434675 7001_ $$aLiu, Cheng-Lin,$$eeditor.
001434675 7001_ $$aPajdla, Tomáš,$$eeditor.
001434675 7001_ $$aShi, Jianbo,$$eeditor.
001434675 77608 $$iPrint version:$$z9783030695316
001434675 77608 $$iPrint version:$$z9783030695330
001434675 830_0 $$aLecture notes in computer science ;$$v12623.
001434675 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001434675 852__ $$bebk
001434675 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69532-3$$zOnline Access$$91397441.1
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001434675 980__ $$aBIB
001434675 980__ $$aEBOOK
001434675 982__ $$aEbook
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