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001434656 020__ $$a9783030695255$$q(electronic bk.)
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001434656 0247_ $$a10.1007/978-3-030-69525-5$$2doi
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001434656 049__ $$aISEA
001434656 050_4 $$aTA1634
001434656 08204 $$a006.3/7$$223
001434656 1112_ $$aAsian Conference on Computer Vision$$n(15th :$$d2020 :$$cOnline)
001434656 24510 $$aComputer vision - ACCV 2020 :$$b15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020 : revised selected papers.$$nPart I /$$cHiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi (eds.).
001434656 24630 $$aACCV 2020
001434656 264_1 $$aCham :$$bSpringer,$$c[2021]
001434656 300__ $$a1 online resource (xviii, 740 pages) :$$billustrations (chiefly color)
001434656 336__ $$atext$$btxt$$2rdacontent
001434656 337__ $$acomputer$$bc$$2rdamedia
001434656 338__ $$aonline resource$$bcr$$2rdacarrier
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001434656 347__ $$bPDF
001434656 4901_ $$aLecture notes in computer science ;$$v12622
001434656 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
001434656 500__ $$aInternational conference proceedings.
001434656 500__ $$aIncludes author index.
001434656 5050_ $$a3D Computer Vision -- Weakly-supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images -- HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds Processing -- 3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings -- Reconstructing Creative Lego Models, George Tattersall -- Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People -- Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation -- SGNet: Semantics Guided Deep Stereo Matching -- Reconstructing Human Body Mesh from Point Clouds by Adversarial GP Network -- SDP-Net: Scene Flow Based Real-time Object Detection and Prediction from Sequential 3D Point Clouds -- SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion -- Faster Self-adaptive Deep Stereo -- AFN: Attentional Feedback Network based 3D Terrain Super-Resolution -- ^Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds -- Anatomy and Geometry Constrained One-Stage Framework for 3D Human Pose Estimation -- DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings -- Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media -- Homography-based Egomotion Estimation Using Gravity and SIFT Features -- Mapping of Sparse 3D Data using Alternating Projection -- Best Buddies Registration for Point Clouds -- Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data -- Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection -- Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices -- FKAConv: Feature-Kernel Alignment for Point Cloud Convolution -- Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks -- ^IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image -- Attended-Auxiliary Supervision Representation for Face Anti-spoofing -- 3D Object Detection from Consecutive Monocular Images -- Data-Efficient Ranking Distillation for Image Retrieval -- Quantum Robust Fitting -- HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning -- Segmentation and Grouping -- RGB-D Co-attention Network for Semantic Segmentation -- Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation -- Dense Dual-Path Network for Real-time Semantic Segmentation -- Learning More Accurate Features for Semantic Segmentation in CycleNet -- 3D Guided Weakly Supervised Semantic Segmentation -- Real-Time Segmentation Networks should be Latency Aware -- Mask-Ranking Network for Semi-Supervised Video Object Segmentation -- SDCNet: Size Divide and Conquer Network for Salient Object Detection -- ^Bidirectional Pyramid Networks for Semantic Segmentation -- DEAL: Difficulty-aware Active Learning for Semantic Segmentation -- EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion -- Local Context Attention for Salient Object Segmentation -- Generic Image Segmentation in Fully Convolutional Networks by Superpixel Merging Map.
001434656 506__ $$aAccess limited to authorized users.
001434656 520__ $$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.
001434656 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 23, 2021).
001434656 650_0 $$aComputer vision$$vCongresses.
001434656 650_0 $$aOptical data processing.
001434656 650_0 $$aArtificial intelligence.
001434656 650_0 $$aComputer organization.
001434656 650_0 $$aComputers.
001434656 650_0 $$aPattern perception.
001434656 650_6 $$aVision par ordinateur$$vCongrès.
001434656 650_6 $$aTraitement optique de l'information.
001434656 650_6 $$aIntelligence artificielle.
001434656 650_6 $$aOrdinateurs$$xConception et construction.
001434656 650_6 $$aOrdinateurs.
001434656 650_6 $$aPerception des structures.
001434656 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434656 655_7 $$aConference papers and proceedings.$$2lcgft
001434656 655_7 $$aActes de congrès.$$2rvmgf
001434656 655_0 $$aElectronic books.
001434656 7001_ $$aIshikawa, Hiroshi,$$eeditor.
001434656 7001_ $$aLiu, Cheng-Lin,$$eeditor.
001434656 7001_ $$aPajdla, Tomáš,$$eeditor.
001434656 7001_ $$aShi, Jianbo,$$eeditor.
001434656 77608 $$iPrint version: $$z9783030695248
001434656 77608 $$iPrint version: $$z9783030695262
001434656 830_0 $$aLecture notes in computer science ;$$v12622.
001434656 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001434656 852__ $$bebk
001434656 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69525-5$$zOnline Access$$91397441.1
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