Computer vision - ECCV 2022 = 17th E...
European Conference on Computer Vision (2022 :)

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  • Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part III /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2022/ edited by Shai Avidan ... [et al.].
    Reminder of title: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.
    remainder title: ECCV 2022
    other author: Avidan, Shai.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: lvi, 755 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement -- LaTeRF: Label and Text Driven Object Radiance Fields -- MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis -- Unsupervised Deep Multi-Shape Matching -- Texturify: Generating Textures on 3D Shape Surfaces -- Autoregressive 3D Shape Generation via Canonical Mapping -- PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees -- UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation -- PRIF: Primary Ray-Based Implicit Function -- Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction -- CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes -- PlaneFormers: From Sparse View Planes to 3D Reconstruction -- Learning Implicit Templates for Point-Based Clothed Human Modeling -- Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks -- Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation -- MoFaNeRF: Morphable Facial Neural Radiance Field -- PointInst3D: Segmenting 3D Instances by Points -- Cross-Modal 3D Shape Generation and Manipulation -- Latent Partition Implicit with Surface Codes for 3D Representation -- Implicit Field Supervision for Robust Non-rigid Shape Matching -- Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks -- diffConv: Analyzing Irregular Point Clouds with an Irregular View -- PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows -- SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer -- DeepMend: Learning Occupancy Functions to Represent Shape for Repair -- A Repulsive Force Unit for Garment Collision Handling in Neural Networks -- Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons -- 3D Equivariant Graph Implicit Functions -- PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation -- 3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds -- Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification -- Unsupervised Pose-Aware Part Decomposition for Man-Made Articulated Objects -- MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks -- SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement -- The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts -- Spatiotemporal Self-Attention Modeling with Temporal Patch Shift for Action Recognition -- Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning -- Semi-Supervised Temporal Action Detection with Proposal-Free Masking -- Zero-Shot Temporal Action Detection via Vision-Language Prompting -- CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video -- S2N: Suppression-Strengthen Network for Event-Based Recognition under Variant Illuminations -- CMD: Self-Supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-20062-5
    ISBN: 9783031200625
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