April 2026 - Infovis - infovis.org

[CfP] SUMAC'26 @ACMMM'26: the 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents
by Valerie Gouet 21 Apr '26

21 Apr '26

[Apologies if you receive multiple copies of this CfP] Call for Papers SUMAC 2026 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents Advances in machine learning, signal processing, multimodal techniques and human-machine interaction 10 or 14 November, 2026 Rio de Janeiro, Brazil In conjunction with ACM Multimedia 2026 SUMAC: https://sumac-workshops.github.io/2026/ Main conference: https://2026.acmmm.org/ Aims and scope The ambition of SUMAC is to bring together researchers and practitioners from different disciplines to share ideas and methods on current trends in the analysis, understanding and promotion of heritage contents. These challenges are reflected in the corresponding sub- fields of machine learning, signal processing, multi-modal techniques, and human-machine interaction. We welcome research contributions for the following (but not limited to) topics: • Information retrieval for multimedia heritage • Automated archaeology and heritage data processing • NLP and knowledge graphs • Multi-modal deep learning, generative modeling • Time series analysis for heritage data • Heritage visualization, virtualization and narratives • Smart digitization and reconstruction of heritage data • Open heritage data and bench-marking The scope of targeted applications is extensive and includes: • Analysis, archaeometry of artifacts • Diagnosis and monitoring for restoration and preventive conservation • Geosciences / Geomatics for cultural heritage • Inclusive education • Smart and sustainable tourism • Urban planning • Digital Twins Important dates (AoE) • Paper submission: July 16, 2026 • Author acceptance notification: August 6, 2026 • Camera-Ready: August 20, 2026 • Workshop date: TBA (November 10 or 14, 2026) Special Highlights Best Paper Award. Following tradition, SUMAC 2026 will also be awarding a best paper award, accompanied with a certificate and a trophy. Submission guidelines Submission format. All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work (full paper) as well as work in progress (short paper). Two submission formats are accepted: a) 4 pages plus 2-page reference (short paper); or b) 8 pages plus up to 2-page reference (full paper). They must be encoded as PDF using the ACM Article Template of the main conference ACM Multimedia 2026, see https://2026.acmmm.org/site/author-instructions.html. Peer Review and publication in ACM Digital Library. Paper submissions must conform with the “double-blind” review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published as Open Access articles. Organizers Valerie Gouet-Brunet (LaSTIG Lab, IGN Geodata Paris, Gustave Eiffel University, France) Edgar Roman-Rangel (ITAM, Mexico) Li Weng (Zhejiang Financial College, China) Looking forward to hearing from you at SUMAC! The workshop organizers -- Valerie Gouet-Brunet Senior researcher / DR1 Ministère de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel, Geodata Paris, IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/

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IEEE VIS 2026 Call for Posters: deadline June 24.
by Benjamin Bach 21 Apr '26

21 Apr '26

Dear colleagues, The IEEE VIS 2026 Poster Program (Boston, MA, Nov 9-13) welcomes contributions that showcase emerging ideas, work in progress, follow-up or extended studies, practical applications, and evaluations of existing visualization techniques. Examples of appropriate visualization work include, but are not limited to - research exploring new problems, ideas or areas, - early results and demos of pilot projects, - new angles on existing (collections of) work or known datasets, - provoking perspectives, - work-in-progress presented prior to its full publication, - any work that might particularly benefit from demonstration to and active discussion with the visualization community, - the application of visualization techniques, - synthesized highlights of recent work published or presented in another venue: submissions need to contain original content, i.e., no verbatim re-submissions of existing work is allowed (please see the plagiarism statement in the end). The presentation of posters will happen as a physical event at the conference. There will be a dedicated poster session in which poster authors can meet and discuss their work with conference participants. An additional web presence of posters will supplement the traditional physical installation of poster boards. More concrete details will follow soon, with the goal of creating an engaging atmosphere. In addition to the poster presentation, the submitted two-page summary (below) will optionally be included into the non-archival conference website for download. More info on submission and formatting here: https://ieeevis.org/year/2026/info/call-participation/posters Best wishes, IEEE Posters Chairs ----- Lingyun Yu, Xi’an Jiaotong-Liverpool University Narges Mahyar, City St George’s, University of London Thomas Höllt, Delft University of Technology Benjamin Bach, Inria Benjamin Bach, PhD, HDR ------------------------------------ Senior Researcher / Directeur de Recherche Bivwac Team, https://bivwac.fr Inria, Bordeaux https://benjbach.net

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DIVERSE-CDT : Fully Funded PhDs in Data Visualization
by Dykes, Jason 13 Apr '26

13 Apr '26

We are offering fully funded, richly resourced and immensely well supported PhD studentships in Data Visualization at DIVERSE-CDT - the new Centre for Doctoral Training in Diversity in Data Visualization at the University of Warwick and the University of London: https://diverse-cdt.ac.uk/ Our application window closes soon. Please encourage students with potential to apply to join our world-class, innovative PhD program in data visualization. https://diverse-cdt.ac.uk/apply/ Change what we can see. See what we can change. Jason and co. DIVERSE-CDT City St George's, University of London University of Warwick.

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DeepLearn 2026: early registration April 25
by David Silva - IRDTA 04 Apr '26

04 Apr '26

****************************************************** 13th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2026 Orléans, France July 20-24, 2026 https://deeplearn.irdta.eu/2026/ ****************************************************** Co-organized by: University of Orléans Centre Val de Loire Doctoral College Institute for Research Development, Training and Advice – IRDTA Luxembourg/London ****************************************************** Early registration: April 25, 2026 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Luleå, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2026 will take place in Orléans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orléans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orléans, France https://www.univ-orleans.fr/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yingbin Liang (Ohio State University), Convergence Theory: How Fast Do Discrete Diffusion Models Generate? Le Song (Mohamed bin Zayed University of Artificial Intelligence), Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology PROFESSORS AND COURSES: Nitesh Chawla (University of Notre Dame), [intermediate] Learning from Imbalanced Data Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Modern Optimization Algorithms for Large Language Models Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Large Language Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by July 12, 2026. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Abstracts have to be submitted to david(a)irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orléans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orléans, local co-chair) Carlos Martín-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Florian Nowicki (Orléans, social networks) Philippe Ravier (Orléans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Université d’Orléans Collège Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Luxembourg/London

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BioVis@ISMB 2026 - Deadline April 9 (1 week!) 🚨
by van den Brandt, Astrid 02 Apr '26

02 Apr '26

(Apologies for cross-posting) BioVis 2026 - ABSTRACT DEADLINE IN 1 WEEK Dear colleagues, This is a friendly reminder that the deadline for submitting abstracts (talks and posters) to BioVis@ISMB/ECCB 2026 is next Thursday, April 9, 2026 (Anywhere on Earth). BioVis is a one-day symposium on biological data visualization, bringing together researchers from visualization, bioinformatics, and biology. Date: July 16, 2026 | Washington, DC, USA More info: http://biovis.net/2026/ismb/ -------------------------------------------------- SUBMISSION TYPES -------------------------------------------------- TALKS (deadline: April 9, 2026 AoE) - Published work: 250-word abstract + copy of paper (or link if open access) - Unpublished work: Extended abstract up to 1,500 words with figures POSTERS & DEMOS (deadline: April 9, 2026 AoE) - 250-word abstract + one supporting figure - Present preliminary results, works in progress, visualization challenges, or previously published work - A selection of posters will be invited for a short talk - Late submissions accepted until May 7, 2026 -------------------------------------------------- KEY DATES -------------------------------------------------- Apr 9 - Talk & poster submission deadline << 1 WEEK LEFT May 5 - Acceptance notifications (talks & posters) May 7 - Late poster submission deadline May 14 - Late poster acceptance notifications Jul 16 - BioVis@ISMB 2026, Washington, DC, USA Full schedule: https://www.iscb.org/ismb2026/key-dates -------------------------------------------------- TOPICS OF INTEREST -------------------------------------------------- We welcome contributions on all aspects of biological data visualization, including but not limited to: - Genomics, sequencing, and variation data - Multivariate omics (transcriptomics, proteomics, metabolomics) - Phylogenetics, networks, and biological ontologies - Macromolecular structures (protein, RNA, etc.) - Biological image data and microscopy - Integration of image and omics data - Neurobiology and developmental biology - Visualization + machine learning for biological analysis - Biological atlases and metadata - Usability and interdisciplinary collaboration -------------------------------------------------- HOW TO SUBMIT -------------------------------------------------- Submit via the ISMB abstract submission site. When submitting, select "BioVis" as your COSI/topic. Instructions: https://www.iscb.org/ismb2026/call-for-submissions/abstracts More details: http://biovis.net/2026/ismb/ -------------------------------------------------- GENERAL CHAIRS -------------------------------------------------- Zeynep Gumus, Icahn School of Medicine at Mount Sinai, USA Qianwen Wang, University of Minnesota, Twin Cities, USA -------------------------------------------------- We look forward to your contributions and to seeing you in DC in July! Best regards, The BioVis@ISMB 2026 Organizing Committee

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