rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computer Vision - ECCV 2022
    sub title: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI
  name:
    name part: Avidan, Shai.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Brostow, Gabriel.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Cissé, Moustapha.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Farinella, Giovanni Maria.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hassner, Tal.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (LVI, 749 pages 299 illustrations, 293 illustrations in color)
  abstract: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23-27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
  table of contents: UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture -- Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction -- Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation -- VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data -- Poseur: Direct Human Pose Regression with Transformers -- SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation -- Regularizing Vector Embedding in Bottom-Up Human Pose Estimation -- A Visual Navigation Perspective for Category-Level Object Pose Estimation -- Faster VoxelPose: Real-Time 3D Human Pose Estimation by Orthographic Projection -- Learning to Fit Morphable Models -- EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices -- Grasp'D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands -- AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling -- Deep Radial Embedding for Visual Sequence Learning -- SAGA: Stochastic Whole-Body Grasping with Contact -- Neural Capture of Animatable 3D Human from Monocular Video -- General Object Pose Transformation Network from Unpaired Data -- Compositional Human-Scene Interaction Synthesis with Semantic Control -- PressureVision: Estimating Hand Pressure from a Single RGB Image -- PoseScript: 3D Human Poses from Natural Language -- DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation -- 3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal -- Pose for Everything: Towards Category-Agnostic Pose Estimation -- PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting -- DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation -- Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation -- Boosting Event Stream Super-Resolution with a Recurrent Neural Network -- Projective Parallel Single-Pixel Im…
  note: edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.
  subject:
    topic: Computer vision
  subject:
    topic: Computer Vision
  classification: TA1634
  classification: 006.37
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes in Computer Science, 13666
  identifier: 9978-3-031-20068-7
  identifier: 9783031200687
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 221110
    record change date: 20240805183146.3
    record identifier: in00004659384