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Produktbild: Computer Vision – ECCV 2022
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Computer Vision – ECCV 2022 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XVIII

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2022

Herausgeber

Shai Avidan + weitere

Verlag

Springer

Seitenzahl

757

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1212 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-19796-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2022

Herausgeber

Verlag

Springer

Seitenzahl

757

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1212 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-19796-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computer Vision – ECCV 2022
  • Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks.- OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers.- Highly Accurate Dichotomous Image Segmentation.- Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting.- Flow-Guided Transformer for Video Inpainting.- Shift-tolerant Perceptual Similarity Metric.- Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution.- VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder.- Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution.- Learning Spatio-Temporal Downsampling for Effective Video Upscaling.- Learning Local Implicit Fourier Representation for Image Warping.- SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement.- Blind Image Decomposition.- MuLUT: Cooperating Multiple Look-Up Tables for Efficient ImageSuper-Resolution.- Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution.- Spatial-Frequency Domain Information Integration for Pan-Sharpening.- Adaptive Patch Exiting for Scalable Single Image Super-Resolution.- Efficient Meta-Tuning for Content-Aware Neural Video Delivery.- Reference-Based Image Super-Resolution with Deformable Attention Transformer.- Local Color Distributions Prior for Image Enhancement.- L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer.- From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution.- Towards Interpretable Video Super-Resolution via Alternating Optimization.- Event-Based Fusion for Motion Deblurring with Cross-Modal Attention.- Fast and High Quality Image Denoising via Malleable Convolution.- TAPE: Task-Agnostic Prior Embedding for Image Restoration.- Uncertainty Inspired Underwater Image Enhancement.- Hourglass Attention Network for Image Inpainting.- Unfolded Deep Kernel Estimation for Blind Image Super-Resolution.- Event-Guided Deblurring of Unknown Exposure Time Videos.- ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion.- Content Adaptive Latents and Decoder for Neural Image Compression.- Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution.- Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones.- Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations.- Secrets of Event-Based Optical Flow.- Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoir´eing.- ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring.- Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion.- ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images.- Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion.-Learning Degradation Representations for Image Deblurring.