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Computer Vision ECCV 2022: 17th European Conference, Tel Aviv, Israel, October [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3031198115
  • ISBN-10:  3031198115
  • ISBN-13:  9783031198113
  • ISBN-13:  9783031198113
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2022
  • Pub Date:  01-May-2022
  • SKU:  3031198115-11-SPRI
  • SKU:  3031198115-11-SPRI
  • Pages:  751
  • Pages:  751
  • Item ID: 105233624
  • List Price: $119.99
  • Seller: ShopSpell
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  • Delivery by: Oct 03 to Oct 05
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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 2327, 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.

Relative Contrastive Loss for Unsupervised Representation Learning.- Fine-Grained Fashion Representation Learning by Online Deep Clustering.- NashAE: Disentangling Representations through Adversarial Covariance Minimization.- A Gyrovector Space Approach for Symmetric Positive Semi-Definite Matrix Learning.- Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training.- Contrasting Quadratic Assignments for Set-Based Representation Learning.- Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer.- Object Discovery and Representation Networks.- Trading Positional Complexity vs Deepness in Coordinate Networks.- MVDG: A Unified Multi-View Framework for Domain Generalization.- Panoptic Scene Graph Generation.- Object-Compositional Neural Implicit Surfaces.- RigNet: Repetitive Image Guided Network for Depth Completion.- FADE: Fusing the Assets of Decoder andEncoder for Task-Agnostic Upsampling.- LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LlĂ0
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