05726nam 2200481 450 99641828180331620210328083349.03-030-66823-110.1007/978-3-030-66823-5(CKB)5460000000008567(DE-He213)978-3-030-66823-5(MiAaPQ)EBC6449912(PPN)253252989(EXLCZ)99546000000000856720210328d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputer vision - ECCV 2020 workshopsPart IV Glasgow, UK, August 23-28, 2020, proceedings /Adrien Bartoli, Andrea Fusiello (editors)1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (XXVIII, 755 p. 287 illus.) Lecture notes in computer science ;12538Includes index.3-030-66822-3 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.The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part IV focusses on advances in image manipulation; assistive computer vision and robotics; and computer vision for UAVs.Lecture notes in computer science ;12538.Computer visionCongressesComputer vision006.37Bartoli AdrienFusiello AndreaMiAaPQMiAaPQMiAaPQBOOK996418281803316Computer Vision - ECCV 2020 Workshops1919266UNISA03754nam 2200781 a 450 991096457620332120230215201902.09786612538360978128253836812825383659780226237992022623799010.7208/9780226237992(CKB)2670000000017074(EBL)515740(OCoLC)644605729(SSID)ssj0000413880(PQKBManifestationID)11293387(PQKBTitleCode)TC0000413880(PQKBWorkID)10386017(PQKB)10883556(MiAaPQ)EBC515740(DE-B1597)535487(OCoLC)1124391281(DE-B1597)9780226237992(Au-PeEL)EBL515740(CaPaEBR)ebr10381156(CaONFJC)MIL253836(MiAaPQ)EBC3038258(Au-PeEL)EBL3038258(OCoLC)927459550(Perlego)1972170(EXLCZ)99267000000001707419870709d1988 uy 0engur||#||||||||txtrdacontentcrdamediacrrdacarrierChicago '68 /David FarberChicago University of Chicago Press19881 online resource (349 p.)Description based upon print version of record.9780226238012 0226238016 9780226238005 0226238008 Includes bibliographical references (p. 259-296) and index.Frontmatter --Contents --Preface --Introduction --Abbreviations --1. Making Yippie! --2. The Politics of Laughter --3. Gandhi and Guerrilla --4. Mobilizing in Molasses --5. The Mayor and the Meaning of Clout --6. The City of Broad Shoulders --7. The Streets Belong to the People --8 Inside Yippie! --9 Thinking about the Mobe and Chicago '68 --10 Public Feelings --Notes --IndexEntertaining and scrupulously researched, Chicago '68 reconstructs the 1968 Democratic Convention in Chicago-an epochal moment in American cultural and political history. By drawing on a wide range of sources, Farber tells and retells the story of the protests in three different voices, from the perspectives of the major protagonists-the Yippies, the National Mobilization to End the War, and Mayor Richard J. Daley and his police. He brilliantly recreates all the excitement and drama, the violently charged action and language of this period of crisis, giving life to the whole set of cultural experiences we call "the sixties." "Chicago '68 was a watershed summer. Chicago '68 is a watershed book. Farber succeeds in presenting a sensitive, fairminded composite portrait that is at once a model of fine narrative history and an example of how one can walk the intellectual tightrope between 'reporting one's findings' and offering judgements about them."-Peter I. Rose, Contemporary SociologyChicago sixty-eightRiotsIllinoisChicagoHistory20th centuryPolitical conventionsIllinoisChicagoHistory20th centuryRadicalismIllinoisChicagoHistory20th centuryUnited StatesPolitics and government1963-1969Chicago (Ill.)History1875-RiotsHistoryPolitical conventionsHistoryRadicalismHistory977.3/11043Farber David1956-1814385MiAaPQMiAaPQMiAaPQBOOK9910964576203321Chicago '684368270UNINA