Spatial and Channel Attention Modulated Network for Medical Image Segmentation -- Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution -- Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors -- G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait -- Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN -- BdSL36: A Dataset for Bangladeshi Sign Letters Recognition -- 3D Semantic Segmentation for Large-Scale Scene Understanding -- A Weakly Supervised Convolutional Network for Change Segmentation and Classification -- Visible and Thermal Camera-based Jaywalking Estimation using a Hierarchical Deep Learning Framework -- Towards Locality Similarity Preserving to 3D Human Pose Estimation -- Iterative Self-distillation for Precise Facial Landmark Localization -- Multiview Similarity Learning for Robust Visual Clustering -- Real-time Spatio-temporal Action Localization via Learning Motion Representation.

This book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.* The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU). *The conference and workshops were held virtually.