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 XVI
  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, 757 pages 352 illustrations, 349 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: StyleGAN-Human.A Data-Centric Odyssey of Human Generation -- ColorFormer. Image Colorization via Color Memory Assisted Hybrid-Attention Transformer -- EAGAN. Efficient Two-Stage Evolutionary Architecture Search for GANs -- Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation -- DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation -- Multimodal Conditional Image Synthesis with Product-of-Experts GANs -- Auto-Regressive Image Synthesis with Integrated Quantization -- JoJoGAN. One Shot Face Stylization -- VecGAN: Image-to-Image Translation with Interpretable Latent Directions -- Any-Resolution Training for High-Resolution Image Synthesis -- CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer -- CANF-VC: Conditional Augmented Normalizing Flows for Video Compression -- Bi-Level Feature Alignment for Versatile Image Translation and Manipulation -- High-Fidelity Image Inpainting with GAN Inversion -- DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta -- Image Inpainting with Cascaded Modulation GAN and Object-Aware Training -- StyleFace: Towards Identity-Disentangled Face Generation on Megapixels -- Video Extrapolation in Space and Time -- Contrastive Learning for Diverse Disentangled Foreground Generation -- BIPS.Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning -- Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos -- Geometry-Aware Single-Image Full-Body Human Relighting -- 3D-Aware Indoor Scene Synthesis with Depth Priors -- Deep Portrait Delighting -- Vector Quantized Image-to-Image Translation -- The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis -- Free-Viewpoint RGB-D Human Performance Capture and Rendering -- Multiview Regenerative Morphing with…
  note: edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.
  subject:
    topic: Computer vision
  subject:
    topic: Computer networks
  subject:
    topic: Application software
  subject:
    topic: Social sciences-Data processing
  subject:
    topic: Pattern recognition systems
  subject:
    topic: Machine learning
  subject:
    topic: Computer Vision
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Computer and Information Systems Applications
  subject:
    topic: Computer Application in Social and Behavioral Sciences
  subject:
    topic: Automated Pattern Recognition
  subject:
    topic: Machine Learning
  classification: TA1634
  classification: 006.37
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes in Computer Science, 13676
  identifier: 9978-3-031-19787-1
  identifier: 9783031197871
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 221020
    record change date: 20240805183148.1
    record identifier: in00004659165