W24 - Advances in Image Manipulation Workshop and Challenges.- DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting.- AIM 2020 Challenge on Video Temporal Super-Resolution.- Enhanced Quadratic Video Interpolation.- AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results.- Deformable Kernel Convolutional Network for Video Extreme Super-Resolution.- Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search.- Deep Plug-and-Play Video Super-Resolution.- Deep Adaptive Inference Networks for Single Image Super-Resolution.- Densely Connecting Depth Maps for Monocular Depth Estimation.- Single image dehazing for a variety of haze scenarios using back projected pyramid network.- A Benchmark for Inpainting of Clothing Images with Irregular Holes.- Learning to improve image compression without changing the standard decoder.- Conditional Adversarial Camera Model Anonymization.- Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems.- Efficiently Detecting Plausible Locations for Object Placement using Masked Convolutions.- L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection.- W25 - Assistive Computer Vision and Robotics.- We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation.- Multi-channel Transformers for Multi-articulatory Sign Language Translation.- Synthetic Convolutional Features for Improved Semantic Segmentation.- Autonomous Car Chasing.- SignSynth: Data-Driven Sign Language Video Generation.- ALET (Automated Labeling of Equipment and Tools): A Dataset for Tool Detection and Human Worker Safety Detection.- DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis.- Exploiting Scene-specific Features for Object Goal Navigation.- Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons.- Enhancing Robot-Assisted WEEE Disassembly through Optimizing Automated Detection of Small Components.- Structural Plan of Indoor Scenes with Personalized Preferences.- Behavioural pattern discovery from collections of egocentric photo-streams.- Motion Prediction for First-person Vision Multi-object Tracking.- i-Walk Intelligent Assessment System: Activity, Mobility, Intention, Communication.- Adaptive Virtual Reality Exergame for Individualized Rehabilitation for Persons with Spinal Cord Injury.- W26 - Computer Vision for UAVs Workshop and Challenge.- ATG-PVD: Ticketing Parking Violations on A Drone.- Next-Best View Policy for 3D Reconstruction.- A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View.- Multi-view Convolutional Network for Crowd Counting in Drone-captured Images.- PAS Tracker: Position-, Appearance- and Size-aware Multi-Object Tracking in Drone Videos.- Insights on Evaluation of Camera Re-localization Using Relative Pose Regression.- A Deep Learning Filter for Visual Drone Single Object Tracking.- Object Detection Using Clustering Algorithm Adaptive Searching Regions in Aerial Images.- Real-Time Embedded Computer Vision on UAVs: UAVision2020 workshop summary.- VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results.- VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Result.- VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results.- VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results.