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Computer Vision ACCV 2020: 15th Asian Conference on Computer Vision, Kyoto, Ja [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  303069531X
  • ISBN-10:  303069531X
  • ISBN-13:  9783030695316
  • ISBN-13:  9783030695316
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  303069531X-11-SPRI
  • SKU:  303069531X-11-SPRI
  • Pages:  718
  • Pages:  718
  • Item ID: 105233511
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Oct 03 to Oct 05
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The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.*

The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:

Part I: 3D computer vision; segmentation and grouping

Part II: low-level vision, image processing; motion and tracking

Part III: recognition and detection; optimization, statistical methods, and learning; robot vision

Part IV: deep learning for computer vision, generative models for computer vision

Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis

Part VI: applications of computer vision; vision for X; datasets and performance analysis

*The conference was held virtually.

Low-Level Vision, Image Processing.- Image Inpainting with Onion Convolutions.- Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network.- Second-order Camera-aware Color Transformation for Cross-domain Person Re-identification.- CS-MCNet:A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation.- MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining.- Degradation Model Learning for Real-World Single Image Super-resolution.- Chromatic Aberration Correction Using Cross-Channel Prior in Shearlet Domain.- Raw-Guided Enhancing Reprocess of Low-Light Image via Deep Exposure Adjustment.- Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallax.- Low-light Color Imaging via Dual Camera Acquisition.- Frequency Attention Network: Blind Noise Removal for Real Images.- Restoring Spatially-Heterogeneous Distortions using Mixture ofl³x
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