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10.1007/978-3-030-69756-3guideproceedingsBook PagePublication PagesConference Proceedingsacm-pubtype
Computer Vision – ACCV 2020 Workshops: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers
2020 Proceeding
  • Editors:
  • Imari Sato,
  • Bohyung Han
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
Conference:
Asian Conference on Computer VisionKyoto, Japan30 November 2020
ISBN:
978-3-030-69755-6
Published:
30 November 2020

Reflects downloads up to 26 Nov 2024Bibliometrics
Abstract

No abstract available.

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front-matter
Front Matter
Pages i–viii
back-matter
Back Matter
Article
Front Matter
Page 1
Article
Spatial and Channel Attention Modulated Network for Medical Image Segmentation
Abstract

Medical image segmentation is a fundamental and challenge task in many computer-aided diagnosis and surgery systems, and attracts numerous research attention in computer vision and medical image processing fields. Recently, deep learning based ...

Article
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution
Abstract

In recent years, convolutional neural networks (CNNs) have obtained promising results in single-image super-resolution (SR) for remote sensing images. However, most existing methods are inadequate for remote sensing image SR due to the high ...

Article
Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors
Abstract

Hyperspectral (HS) imaging is a promising imaging modality, which can simultaneously acquire various bands of images of the same scene and capture detailed spectral distribution helping for numerous applications. However, existing HS imaging ...

Article
G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait
Abstract

Recently, emotion recognition through gait, which is more difficult to imitate than other biological characteristics, has aroused extensive attention. Although some deep-learning studies have been conducted in this field, there are still two ...

Article
Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN
Abstract

Analyzing and elucidating the attributes of cells and tissues with an observed microscopy image is a fundamental task in both biological research and clinical practice, and automation of this task to develop computer aided system based on image ...

Article
BdSL36: A Dataset for Bangladeshi Sign Letters Recognition
Abstract

Bangladeshi Sign Language (BdSL) is a commonly used medium of communication for the hearing-impaired people in Bangladesh. A real-time BdSL interpreter with no controlled lab environment has a broad social impact and an interesting avenue of ...

Article
3D Semantic Segmentation for Large-Scale Scene Understanding
Abstract

3D semantic segmentation is one of the most challenging events in the robotic vision tasks for detection and identification of various objects in a scene. In this paper, we solve the task of semantic segmentation to classify and assign every point ...

Article
A Weakly Supervised Convolutional Network for Change Segmentation and Classification
Abstract

Fully supervised change detection methods require difficult to procure pixel-level labels, while weakly supervised approaches can be trained with image-level labels. However, most of these approaches require a combination of changed and unchanged ...

Article
Front Matter
Page 121
Article
Visible and Thermal Camera-Based Jaywalking Estimation Using a Hierarchical Deep Learning Framework
Abstract

Jaywalking is an abnormal pedestrian behavior which significantly increases the risk of road accidents. Owing to this risk, autonomous driving applications should robustly estimate the jaywalking pedestrians. However, the task of robustly ...

Article
Towards Locality Similarity Preserving to 3D Human Pose Estimation
Abstract

Estimating 3D human pose from an annotated or detected 2D pose in a single RGB image is a challenging problem. A successful way to address this problem is the example-based approach. The existing example-based approaches often calculate a global ...

Article
Iterative Self-distillation for Precise Facial Landmark Localization
Abstract

In this paper, we propose a novel training method to improve the precision of facial landmark localization. When a facial landmark localization method is applied to a facial video, the detected landmarks occasionally jitter, whereas the face ...

Article
Multiview Similarity Learning for Robust Visual Clustering
Abstract

Multiview similarity learning aims to measure the neighbor relationship between each pair of samples, which has been widely used in data mining and presents encouraging performance on lots of applications. Nevertheless, the recent existing ...

Article
Real-Time Spatio-Temporal Action Localization via Learning Motion Representation
Abstract

Most state-of-the-art spatio-temporal (S-T) action localization methods explicitly use optical flow as auxiliary motion information. Although the combination of optical flow and RGB significantly improves the performance, optical flow estimation ...

Contributors
  • Research Organization of Information and Systems National Institute of Informatics
  • Seoul National University

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