This page contains separated PDF files of the Journal WSCG and WSCG proceedings in 2021
(http://www.wscg.eu)

All issues of the Journal of WSCG and WSCG proceedings are available at
http://wscg.zcu.cz/DL/wscg_DL.htm

 CSRN 3001 - WSCG 2021 - Full papers - not valid yet

• Borkowski,D., Janczak-Borkowska,K.: Reduction of JPEG Artifacts using BSDEs[PDF]
      DOI:10.24132/CSRN.2021.3101.1
• Pointner,A., Praschl,C., Krauss,O., Schuler,A., Helm,E., Zwettler,G.: Line Clustering and Contour Extraction in the Context of 2D Building Plans[PDF]
      DOI:10.24132/CSRN.2021.3101.2
• Mueller,S., Kranzlmueller,D.: Dynamic Sensor Matching for Parallel Point Cloud Data Acquisition[PDF]
      DOI:10.24132/CSRN.2021.3101.3
• Miller,M., Nischwitz,A., Westermann,R.: Deep Light Direction Reconstruction from single RGB images[PDF]
      DOI:10.24132/CSRN.2021.3101.4
• Zettler,N., Mastmeyer,A.: Comparison of 2D vs. 3D Unet Organ Segmentation in abdominal 3D CT images[PDF]
      DOI:10.24132/CSRN.2021.3101.5
• Vazquez,I., Cutchin,S.: An Analysis on Pixel Redundancy Structure in Equirectangular Images[PDF]
      DOI:10.24132/CSRN.2021.3101.6
• Kavaz,E., Puig,A., Rodriguez,I., Taule,M., Nofre,M.: Data Visualization for Supporting Linguists in the Analysis of Toxic Messages[PDF]
      DOI:10.24132/CSRN.2021.3101.7
• Junayed,M.S., Anjum,N., Sakib, A.N., Islam,M.B.: A Deep CNN Model for Skin Cancer Detection and Classification[PDF]
      DOI:10.24132/CSRN.2021.3101.8
• Del Gallego,N., Viaje,C., Gerra-Clarin,M., Roque,J., Non,G., Martinez,J., Gana,J.: A Mobile Augmented Reality Application For Simulating Claude Monet’s Impressionistic Art Style[PDF]
      DOI:10.24132/CSRN.2021.3101.9
• Martinez,S., Chen,C.-Y.: A Framework Enabling Real-time Multi-user Collaborative Workflow in 3D Digital Content Creation Software[PDF]
      DOI:10.24132/CSRN.2021.3101.10
• Harris,M.W., Semwal,S.: Deep Rendering Graphics Pipeline[PDF]
      DOI:10.24132/CSRN.2021.3101.11
• Kurasova,O., Marcinkevicius,V., Mikulskiene,B.: Enhanced Visualization of Customized Manufacturing Data[PDF]
      DOI:10.24132/CSRN.2021.3101.12
• Tirado,G.B., Semwal,S.K.: Autonomous Parking Spot Detection System for Mobile Phones using Drones and Deep Learning[PDF]
      DOI:10.24132/CSRN.2021.3101.13
• Marin,E.V., Semwal,S.K.: Using Autonomous Drones Interactions towards Mobile Personal Spaces for Indoor Environments[PDF]
      DOI:10.24132/CSRN.2021.3101.14
• Mieloch,D., Kloska,D., Wozniak,M.: Point-to-Block Matching in Depth Estimation[PDF]
      DOI:10.24132/CSRN.2021.3101.15
• Kaczmarek,A.L., Lebiedz,J., Jaroszewicz,J., Swieszkowski,W.: 3D Scanning of Semitransparent Amber with and without Inclusions[PDF]
      DOI:10.24132/CSRN.2021.3101.16
• Sommer,A., Schwanecke,U.: LEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations[PDF]
      DOI:10.24132/CSRN.2021.3101.17
• Scheer,F., Loos,M., Neumann,M.: Model-based tracking on conveyor belts: Evaluation and practical results in the automotive industry[PDF]
      DOI:10.24132/CSRN.2021.3101.18
• López-Guzmán,G., Bustacara-Medina,C.: Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms[PDF]
      DOI:10.24132/CSRN.2021.3101.19
• Czuni,L., Radli,R.: About the Application of Autoencoders For Visual Defect Detection[PDF]
      DOI:10.24132/CSRN.2021.3101.20
• Szekielda,J., Dziembowski,A., Mieloch,D.: The Influence of Coding Tools on Immersive Video Coding[PDF]
      DOI:10.24132/CSRN.2021.3101.21
• Samelak,J., Dziembowski,A., Mieloch,D., Domanski,M., Wawrzyniak,M.: Efficient Immersive Video Compression using Screen Content Coding[PDF]
      DOI:10.24132/CSRN.2021.3101.22
• Cortez,A., Vázquez,P.: Advanced Visual Interaction with Public Bicycle Sharing Systems[PDF]
      DOI:10.24132/CSRN.2021.3101.23
• Mackowiak,S., Brudz,P., Ciesielski,M., Wawrzyniak M.: Unsupervised SIFT features-to-Image Translation using CycleGAN[PDF]
      DOI:10.24132/CSRN.2021.3101.24
• Moradi,S., Lee,J.K., Tian,Q.: Exploration of U-Net in Automated Solar Coronal Loop Segmentation[PDF]
      DOI:10.24132/CSRN.2021.3101.25
• Burkus,V., Kárpáti,A., Szécsi,L.: Particle-Based Fluid Surface Rendering with Neural Networks[PDF]
      DOI:10.24132/CSRN.2021.3101.26
• Sebai,D.: Signal Extraction for Classification of Noisy Images Compressed using Autoencoders[PDF]
      DOI:10.24132/CSRN.2021.3101.27
• Anisimov,Y., Stricker,D.: Calibration and Auto-Refinement for Light Field Cameras[PDF]
      DOI:10.24132/CSRN.2021.3101.28
• Fregien,F., Pasewaldt,S., Döllner,J., Trapp,M.: Service-based Processing of Gigapixel Images[PDF]
      DOI:10.24132/CSRN.2021.3101.29
• Reithmeier,L., Krauss,O., Zwettler,G.A.: Transfer Learning and Hyperparameter Optimization for Instance Segmentation with RGB-D Images in Reflective Elevator Environments[PDF]
      DOI:10.24132/CSRN.2021.3101.30
• Ben Salah,K., Othmani,M., Kherallah,M.: Contactless Heart Rate Estimation From Facial Video Using Skin Detection and Multi-resolution Analysis[PDF]
      DOI:10.24132/CSRN.2021.3101.31
• Dietze,A., Grimm,P., Jung,Y.: Updating 3D Planning Data based on Detected Differences between Real and Planning Data of Building Interiors[PDF]
      DOI:10.24132/CSRN.2021.3101.32
• Iwanowski,M., Grzabka,M.: Similarity and symmetry measures based on fuzzy descriptors of image objects’ composition[PDF]
      DOI:10.24132/CSRN.2021.3101.33
• Lipovits,Á., Czúni,L., Tömördi,K., Vörösházi,Zs.: Multiple Object Tracking by Bounding Boxes Without Using Texture Information and Optical Flow[PDF]
      DOI:10.24132/CSRN.2021.3101.34
• Xie,Y., Fachada,S., Bonatto,D., Teratani,M., Lafruit,G.: View Synthesis: LiDAR Camera versus Depth Estimation[PDF]
      DOI:10.24132/CSRN.2021.3101.35
• Soares,G., Pereira,J.: Lift: An Educational Interactive Stochastic Ray Tracing Framework with AI-Accelerated Denoiser[PDF]
      DOI:10.24132/CSRN.2021.3101.36
• Matuszewski,D.J., Ranefall,P.: Learning Cell Nuclei Segmentation Using Labels Generated With Classical Image Analysis Methods[PDF]
      DOI:10.24132/CSRN.2021.3101.37
• Barina,D.: Comparison of Lossless Image Formats[PDF]
      DOI:10.24132/CSRN.2021.3101.38

Journal of WSCG, Vol.22, No.1-2, 2021 - not valid yet

• Escote,D.F.,Semwal,S.K.: A new Augmented Reality Paradigm using Drones[PDF]
      DOI:10.24132/JWSCG.2021.29.1
• Hauenstein,J., Newman,T.: New Methods and Novel Framework for Hypersurface Curvature Determination and Analysis[PDF]
      DOI:10.24132/JWSCG.2021.29.2
• Kubas,M., Sarwas, G.: FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation[PDF]
      DOI:10.24132/JWSCG.2021.29.3
• Angelo,T.F., Voltoline.R., Gonçalves,R.G., Ting,S.W.: Interactive Individualized Neuroanatomy Labeling for Neuroanatomy Teaching[PDF]
      DOI:10.24132/JWSCG.2021.29.4
• Hast,A., Vats,E.: Word Recognition using Embedded Prototype Subspace Classifiers on a New Imbalanced Dataset[PDF]
      DOI:10.24132/JWSCG.2021.29.5

Last update 2021-08-23