COGGRAPH: Building bridges between cognitive science and computer graphics

Συγγραφείς: Chandra, Kartik, Harrington, Anne H K, Collins, Katherine M, Kymn, Christopher, Mukherjee, Kushin, Anderson, Sean P, Verma, Arnav, Fan, Judith E.

Πηγή: Proceedings of the Annual Meeting of the Cognitive Science Society. 46

Θεματικοί όροι: Computer Science, Art and Cognition, Creativity, Human-computer interaction, Perception, Computational Modeling

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://escholarship.org/uc/item/10x2163k
https://escholarship.org/content/qt10x2163k/qt10x2163k.pdf

GPify: leveraging the combined strength of normalizing flow and softmax for an out-of-distribution aware confidence score

Συγγραφείς: Kristoffersson Lind, Simon, Author, Triebel, Rudolph, Author, Krueger, Volker, Author, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator

Συνεισφορές: Kristoffersson Lind, Simon, Author, Triebel, Rudolph, Author, Krueger, Volker, Author, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator

Πηγή: International Journal of Computer Vision Uncertainty estimation for adaptable and reliable robotic vision. 134

Θεματικοί όροι: Natural Sciences, Computer and Information Sciences, Computer graphics and computer vision, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datorgrafik och datorseende

Σύνδεσμος πρόσβασης: https://link.springer.com/article/10.1007/s11263-026-02794-3

An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions

Συγγραφείς: Feng, Tony Haoran, Denny, Paul, Wünsche, Burkhard C., Luxton-Reilly, Andrew, Whalley, Jacqueline

Θεματικοί όροι: Computer Science - Artificial Intelligence, Computer Science - Graphics, I.2.7, I.3.0, K.3.2

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2410.16991

pyGANDALF -- An open-source, Geometric, ANimation, Directed, Algorithmic, Learning Framework for Computer Graphics

Συγγραφείς: Petropoulos, John, Kamarianakis, Manos, Protopsaltis, Antonis, Papagiannakis, George

Θεματικοί όροι: Computer Science - Graphics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2409.16724

Droplet Simulations in Computer Graphics: Theories, Methods and Applications

Συγγραφείς: Keshtkar, Hossein, Aburumman, Nadine

Θεματικοί όροι: Physics - Fluid Dynamics, Computer Science - Graphics, I.3

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2411.15880

An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions

Συγγραφείς: Tony Haoran Feng, Paul Denny 0001, Burkhard C. Wünsche, Andrew Luxton-Reilly, Jacqueline Whalley

Πηγή: SIGGRAPH Asia 2024 Educator's Forum. :1-8

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Graphics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, I.2.7, I.3.0, K.3.2, Graphics (cs.GR)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2410.16991

pyGANDALF - An open-source Geometric, ANimation, Directed, Algorithmic, Learning Framework for Computer Graphics

Συγγραφείς: John Petropoulos, Manos Kamarianakis, Antonis Protopsaltis, George Papagiannakis

Πηγή: SIGGRAPH Asia 2024 Educator's Forum. :1-9

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Graphics, Graphics (cs.GR)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2409.16724

Revisiting Micro and Macro Expressions in Computer Graphics Characters

Συγγραφείς: Montanha, Rubens, Raupp, Giovana, Gonzalez, Vitoria, Partichelli, Yanny, Bins, André, Ferreira, Marcos, Araujo, Victor, Musse, Soraia

Θεματικοί όροι: Computer Science - Graphics, Computer Science - Human-Computer Interaction

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2312.03590

Vanilla Bayesian Optimization Performs Great in High Dimensions

Συγγραφείς: Hvarfner, Carl, Author, Hellsten, Erik O., Author, Nardi, Luigi, Author, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematics (Faculty of Engineering), Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematik LTH, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator

Συνεισφορές: Hvarfner, Carl, Author, Hellsten, Erik O., Author, Nardi, Luigi, Author, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Science, Centre for Mathematical Sciences, Mathematics (Faculty of Engineering), Lunds universitet, Naturvetenskapliga fakulteten, Matematikcentrum, Matematik LTH, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator

Πηγή: Proceedings of Machine Learning Research Bayesian optimization across the spectrum of knowledge. 235:20793-20817

Θεματικοί όροι: Natural Sciences, Computer and Information Sciences, Computer graphics and computer vision, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datorgrafik och datorseende, Mathematical Sciences, Computational Mathematics, Matematik, Beräkningsmatematik

Σύνδεσμος πρόσβασης: https://proceedings.mlr.press/v235/hussain24a.html

A unified framework for real-time failure handling in robotics using vision-language models, reactive planner and behavior trees

Συγγραφείς: Ahmad, Faseeh, Author, Ismail, Hashim, Author, Styrud, Jonathan, Author, Stenmark, Maj, Author, Krueger, Volker, Author, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Συνεισφορές: Ahmad, Faseeh, Author, Ismail, Hashim, Author, Styrud, Jonathan, Author, Stenmark, Maj, Author, Krueger, Volker, Author, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: AI and Digitalization, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: AI och digitalisering, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Engineering, LTH, Competence centers, LTH, NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation, Lunds universitet, Lunds Tekniska Högskola, Kompetenscentrum, LTH, NEXTG2COM – ett Vinnova kompetenscenter inom Avancerad Digitalisering, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Θεματικοί όροι: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Robotics and automation, Teknik, Elektroteknik och elektronik, Robotik och automation, Natural Sciences, Computer and Information Sciences, Computer Sciences, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datavetenskap (Datalogi), Computer graphics and computer vision, Datorgrafik och datorseende

Σύνδεσμος πρόσβασης: https://doi.org/10.48550/arXiv.2503.15202

Neurosymbolic Models for Computer Graphics

Συγγραφείς: Ritchie, Daniel, Guerrero, Paul, Jones, R. Kenny, Mitra, Niloy J., Schulz, Adriana, Willis, Karl D. D., Wu, Jiajun

Θεματικοί όροι: Computer Science - Graphics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2304.10320

Project Elements: A computational entity-component-system in a scene-graph pythonic framework, for a neural, geometric computer graphics curriculum

Συγγραφείς: Papagiannakis, George, Kamarianakis, Manos, Protopsaltis, Antonis, Angelis, Dimitris, Zikas, Paul

Θεματικοί όροι: Computer Science - Graphics

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2302.07691

Towards Better User Studies in Computer Graphics and Vision

Συγγραφείς: Bylinskii, Zoya, Herman, Laura, Hertzmann, Aaron, Hutka, Stefanie, Zhang, Yile

Πηγή: Foundations and Trends in Computer Graphics and Vision (2023). Vol. 15: No. 3, pp 201-252

Θεματικοί όροι: Computer Science - Graphics, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Human-Computer Interaction

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2206.11461

Subjective Quality Assessment for Images Generated by Computer Graphics

Συγγραφείς: Wang, Tao, Zhang, Zicheng, Sun, Wei, Min, Xiongkuo, Lu, Wei, Zhai, Guangtao

Θεματικοί όροι: Computer Science - Graphics, Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2206.05008

Revisiting Micro and Macro Expressions in Computer Graphics Characters

Συγγραφείς: Rubens Montanha, Giovana Raupp, Vitoria Gonzalez, Yanny Partichelli, André Bins, Marcos Ferreira, Victor Araujo 0001, Soraia Raupp Musse

Πηγή: Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment. :38-45

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Graphics, Computer Science - Human-Computer Interaction, Graphics (cs.GR), Human-Computer Interaction (cs.HC)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2312.03590

BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing

Συγγραφείς: Gu, Yunqi, Huang, Ian, Je, Jihyeon, Yang, Guandao, Guibas, Leonidas

Θεματικοί όροι: Computer Science - Graphics, Computer Science - Machine Learning

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2504.01786

Sex and Gender in the Computer Graphics Research Literature

Συγγραφείς: Dodik, Ana, Sellán, Silvia, Kim, Theodore, Phillips, Amanda

Θεματικοί όροι: Computer Science - Graphics, Computer Science - Computers and Society

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2206.00480

VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering

Συγγραφείς: Lee, Junseo, Kim, Jaisung, Park, Junyong, Sim, Jaewoong

Θεματικοί όροι: Computer Science - Graphics, Computer Science - Hardware Architecture, Computer Science - Computer Vision and Pattern Recognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2502.17078

Unified Smooth Vector Graphics: Modeling Gradient Meshes and Curve-Based Approaches Jointly as Poisson Problem

Συγγραφείς: Xingze Tian, Tobias Günther

Πηγή: IEEE Transactions on Visualization and Computer Graphics. 31:7848-7861

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Graphics, Graphics (cs.GR)

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40184273
http://arxiv.org/abs/2408.09211

BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing

Συγγραφείς: Yunqi Gu, Ian Huang, Jihyeon Je, Guandao Yang, Leonidas J. Guibas

Πηγή: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :18574-18583

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Graphics, Graphics (cs.GR), Machine Learning (cs.LG)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2504.01786