Computer Vision - Accv 2020 by Tomas Pajdla at Bookstore UAE
Computer Vision - Accv 2020

Computer Vision - Accv 2020


     0     
5
4
3
2
1



International Edition


About the Book

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 of Experts Network.- Color Enhancement using Global Parameters and Local Features Learning.- An Efficient Group Feature Fusion Residual Network for Image Super-Resolution.- Adversarial Image Composition with Auxiliary Illumination.- Overwater Image Dehazing via Cycle-Consistent Generative Adversarial Network.- Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning.- Multi-scale Attentive Residual Dense Network for Single Image Rain Removal.- FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization.- Human Motion Deblurring using Localized Body Prior.- Synergistic Saliency and Depth Prediction for RGB-D Saliency Detection.- Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array.- Deep Priors inside an Unrolled and Adaptive Deconvolution Model.- Motion and Tracking.- Adaptive Spatio-Temporal Regularized Correlation Filters for UAV-based Tracking.- Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation.- Self-supervised Sparse to Dense Motion Segmentation.- Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras.- Adversarial Refinement Network for Human Motion Prediction.- Semantic Synthesis of Pedestrian Locomotion.- Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation.- Visual Tracking by TridentAlign and Context Embedding.- Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking.- A Two-Stage Minimum Cost Multicut Approach to Self-Supervised Multiple Person Tracking.- Learning Local Feature Descriptors for Multiple Object Tracking.- VAN: Versatile Affinity Network for End-to-end Online Multi-Object Tracking.- COMET: Context-Aware IoU-Guided Network for Small Object Tracking.- Adversarial Semi-Supervised Multi-Domain Tracking.- Tracking-by-Trackers with a Distilled and Reinforced Model.- Motion Prediction Using Temporal Inception Module.- A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking.- Modeling Cross-Modal interaction in a Multi-detector, Multi-modal Tracking Framework.- Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern


Best Sellers



Product Details
  • ISBN-13: 9783030695316
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 718
  • Spine Width: 37 mm
  • Weight: 1065 gr
  • ISBN-10: 303069531X
  • Publisher Date: 11 Apr 2021
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II
  • Width: 156 mm


Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Computer Vision - Accv 2020
Springer International Publishing -
Computer Vision - Accv 2020
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Computer Vision - Accv 2020

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!