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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:  3031198328
  • ISBN-10:  3031198328
  • ISBN-13:  9783031198328
  • ISBN-13:  9783031198328
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2022
  • Pub Date:  01-Apr-2022
  • SKU:  3031198328-11-SPRI
  • SKU:  3031198328-11-SPRI
  • Pages:  745
  • Pages:  745
  • Item ID: 105233632
  • 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.

Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency.- Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation.- Spotting Temporally Precise, Fine-Grained Events in Video.- Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation.- Efficient Video Transformers with Spatial-Temporal Token Selection.- Long Movie Clip Classification with State-Space Video Models.- Prompting Visual-Language Models for Efficient Video Understanding.- Asymmetric Relation Consistency Reasoning for Video Relation Grounding.- Self-Supervised Social Relation Representation for Human Group Detection.- K-Centered Patch Sampling for Efficient Video Recognition.- A Deep Moving-Camera Background Model.- GraphVid: It Only Takes a Few Nodes to Understand a Video.- Delta Distillation for Efficient Video Processing.- MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning.- COMPOSER: Compositional Reasoning of Group Activity in Videos with l3&
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