Computer Vision – ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XVIII / edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.

Format:

Book

Author/Creator:

Avidan, Shai, author.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13678

Language:

English

Subjects (All):

Computer vision.

Computer Vision.

Local Subjects:

Computer Vision.

Physical Description:

1 online resource (812 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

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 23–27, 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.

Contents:

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.

Other Format:

Print version: Avidan, Shai Computer Vision - ECCV 2022

ISBN:

9783031197970

3031197976