Deep Learning school @ Universite Cote d’Azur (France)

Registration is now open for the 7th Deep Learning School @UniCA. We have listened your recommendations by spreading the school over 2 weeks between June 23 and July 4: each week is organized with 2 days of tutorials on Mondays and Tuesdays, followed by 3 days of Master classes (with their dedicated labs).

This year's Master classes will be taught by prestigious AI Professors Stuart Russell (UC Berkley), Mihaela Van der Schaar (University of Cambridge), Dan Jurafsky (Stanford University), Yulan He (King's College London), Zeynep Akata (Technical University of Munich), with more to come.

Huggingface lead engineers, responsible for the Smol LM project and the recently published Ultra-Scale Playbook will detail all the algorithms and techniques involved to efficiently train LLMs.

They will address some of the most important topics of the moment: LLMs, Foundation models for vision and text, RLHF techniques, Ethical and equity issues around LLMs, Data-Centric AI for health…

During the 4 days of tutorials, we will teach you all the internal mechanisms des LLMs and supervise you in implementing your own LLM from Scratch.

Whether you work in engineering, research, are a deep learning specialist or are simply looking to familiarize yourself with these crucial methods at the heart of modern AI, this program is designed for you!

Full information and links to registrations: https://univ-cotedazur.eu/efelia-cote-dazur/summer-schools/deep-learning-school/deep-learning-school-2025

For more information, please contact us at: EFELIA.formation@univ-cotedazur.fr

Frederic Precioso, for the DLS@UniCA 2025 organization team

CFP: Workshop on Workshop on Unmasking (Truly) Deepfakes located with IEEE CAI 2025: May 5-7, 2025 in Santa Clara, California, USA

IEEE Conference on Artificial Intelligence (IEEE CAI)

The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. You’ll learn about new research and breakthroughs in the industry, gain insight into new start-ups and leading AI companies, grow your network, and get inspired by the brightest minds working in multi-faceted fields. Plan now to attend this highly anticipated spectacular event, taking place May 5-7, 2025, in Santa Clara, CA.

==== Workshop ====

CAI is a highly selective annual international conference that is organizing a workshop on the topic of deepfake detection. This is the first workshop in the field that aims to target deepfake of every possible modality, including text, audio, image, video, and document. We invite submissions for the workshop to explore, extend, and consolidate the interdisciplinary boundaries of this cutting-edge research direction.


==== Scope and Topics ====

The primary list of topics of interest includes, but not limited to:


  • Image/Video Deepfake Detection

  • Audio Deepfake Detection

  • Text Deepfake Detection

  • Document Deepfake Detection

  • Uni-Modal and Multi-Modal Approaches to Deepfake Generation and Detection

  • Document Liveness Detection

  • Novel and Fair Deepfake Datasets

  • Human Analysis in Detecting the Deepfakes

  • Fairness and Bias in Deepfake Detection

==== Submissions ====

Authors are invited to submit original and unpublished papers of six pages. Submissions are in the IEEE conference template provided by the IEEE CAI. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference.


DEADLINES AND WEBSITE:

Submission: March 10, 2025

Notification: March 25, 2025

Camera-Ready: March 31, 2025


Submission Link: https://easychair.org/my/conference?conf=cai2025 (Select the workshop for the submission)


For more information about submissions, visit the workshop webpage under 

https://sites.google.com/iiserb.ac.in/cai-udf/home 

https://idiap.ch/~kkotwal/cai.html 

==== Organizing committee ====


Dr. Akshay Agarwal (akagarwal@iiserb.ac.in)

Dr. Ketan Kotwal (ketank1@gmail.com)

Mr. Kartik Thakral (thakral.1@iitj.ac.in)

ACM Multimedia 2025 [Submissions are now open!]

33rd ACM International Conference on Multimedia

Dublin, Ireland 27-31.10.2025


Website: https://acmmm2025.org/

ACM Multimedia is the leading international conference on multimedia research and applications, bringing together experts from academia and industry. It covers diverse topics such as video, VR/AR, haptics, audio, AI, and social data, emphasizing multimodal integration and innovative solutions with real-world impact. The conference fosters cutting-edge research in AI-driven multimedia, big data, and user experience, encouraging contributions from related fields like HCI, metaverse, and signal processing. ACM Multimedia 2025 will take place in Dublin, Ireland, alongside CBMI 2025 and MediaEval 2025. The event will feature a rich in-person program, including technical sessions, tutorials, panels, demos, workshops, and competitions like the Multimedia Grand Challenge and Open Source Software Competition. Contributions addressing challenges in healthcare, education, and entertainment are especially welcome. Join us in Dublin to explore the future of multimedia innovation.

Topics of Interest:

  • Multimedia in the Generative AI Era

    • Multimedia Foundation Models

    • Generative Multimedia

    • Social Aspects of Generative AI

  • Engaging Users with Multimedia

    • Emotional and Social Signals

    • Multimedia Search and Recommendation

    • Summarization, Analytics, and Storytelling

  • Experience

    • Interactions and Quality of Experience

    • Art and Culture

    • Multimedia Applications

  •  Multimedia Systems

    • Systems and Middleware

    • Transport and Delivery

    • Data Systems Management and Indexing

  • Multimedia Content Understanding

    • Multimodal Fusion

    • Vision and Language

    • Multimedia Interpretation

The conference invites research papers of varying lengths from 6 to 8 pages, plus additional pages for the reference pages; i.e., the reference page(s) are not counted towards the page limit of 6 to 8 pages. Please note that there is no longer a distinction between long and short papers, but the authors may themselves decide on the appropriate length of the paper. All papers will undergo the same review process and review period.

Submissions are now open! Submit your paper to Open Review:

https://openreview.net/group?id=acmmm.org/ACMMM/2025

Important Dates

Please note: The submission deadline is at 23:59 of the stated deadline date Anywhere on Earth.

  • Paper abstract deadline (firm deadline, no extension): 04.04.2025

  • Paper submission deadline: 11.04.2025

  • Notification: 04.07.2025

  • Camera-ready Submission: 03.08.2025

  • Conference dates: 27.10.2025 – 31.10.2025

Contacts:

For any questions, please contact the Technical Program Chairs: tpc@acmmm2025.org

SISAP 2025: Call for Papers; Publisher: Springer Nature (LNCS); Deadline: May 18

18th International Conference on Similarity Search and Applications, SISAP 2025

Reykjavik, Iceland, October 1-3, 2025

https://www.sisap.org/2025/

Call for Papers  [APOLOGIES FOR MULTIPLE POSTINGS]

Important Dates

Regular and Special Session Papers

  • Abstract submission deadline: May 11, 2025 (AoE)

  • Paper submission deadline: May 18, 2025 (AoE)

  • Acceptance notification: July 14, 2025 (AoE)

  • Camera-ready due: July 31, 2025 (AoE)

Demonstration and Doctoral Symposium Papers

  • Paper submission deadline: June 6, 2025 (AoE)

  • Acceptance notification: July 14, 2025 (AoE)

  • Camera-ready due: July 31, 2025 (AoE)

Scope

The 18th International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. From its roots in metric indexing, SISAP has expanded to become the only international conference entirely devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. Since 2021, SISAP has been a CORE Rank B conference.

The conference proceedings will be published by Springer as a volume in the Springer Lecture Notes in Computer Science (LNCS) series.

A small selection of the best papers presented at the conference will be invited for a post-conference special issue of Elsevier’s Information Systems journal. These extended versions will be subject to a second round of peer review at the journal.

Important Additional Scholarly Activities at SISAP

Submissions

SISAP 2025 allows for four forms of submissions: long research papers (from 9 to 14 pages), short research papers (of up to 8 pages), demonstration papers (of up to 8 pages), and doctoral symposium papers (up to 6 pages plus 2 pages of references). The submission itself, including references and appendices, should fit within these page limits. Papers must be written in English and formatted according to the LNCS guidelines.

Papers have to be submitted in PDF format through EasyChair: https://easychair.org/conferences/?conf=sisap2025 

Regular and Special Session Papers 

The organisers of SISAP 2025 call for novel and original research papers that address the various topics of interest related to the conference. We encourage contributions both to theoretical aspects and applications.

Full papers (from 9 to 14 pages) are expected to be descriptions of complete technical work, whereas short papers (of up to 8 pages) can describe innovative approaches or preliminary results which may nevertheless require more work to mature. Vision papers and other position papers should be submitted as short research papers.

Special session papers will supplement the regular research papers and be included in the proceedings of SISAP 2025, which will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series.

Regular and special session research papers will be peer-reviewed in a double-blind review process. Thus, the submissions must be properly anonymized.

The Best Paper will be recognized with a certificate and a monetary prize, thanks to Springer's sponsorship.

Special Sessions 

Special sessions are mini-venues, each focusing on one state-of-the-art research direction within the field of similarity search and applications. For SISAP 2025, we call for contributions for the following two special sessions:

  • IRMC: Interactive Retrieval for Multimedia Collections. This session focuses on innovative methods and systems that enhance user interaction and experience in multimedia retrieval, covering areas such as user-centric interfaces, relevance feedback mechanisms, and interactive search paradigms.
    Learn more: IRMC Special Session

  • BRIDGES: Bridging Past and Present: Similarity Search for Digital Cultural Heritage and GLAM Content. This session focuses on advances in similarity search and retrieval techniques for digital cultural heritage and GLAM (Galleries, Libraries, Archives, and Museums) content, addressing both technical innovations and real‐world applications. The session aims to bring together researchers, practitioners, and GLAM professionals to explore novel methodologies, discuss challenges, and showcase successful implementations of similarity‐based retrieval in cultural heritage contexts.
    Learn more: BRIDGES Special Session

Demonstration Papers

SISAP 2025 invites novel, impactful demonstrations aligned with its topics of interest. Submissions (up to 8 pages, including references) must include a mandatory 1-page PDF appendix describing how the demo will be conducted on-site. Demonstrations will be evaluated on novelty, technical challenges, and on-site impact in a single-blind review process.

Please see https://www.sisap.org/2025/demonstrations.html  for more details.

Doctoral Symposium Papers

SISAP 2025 Doctoral Symposium provides a forum for PhD students to present their research ideas and receive feedback from senior members of the research community. The Symposium fosters a collaborative environment, encouraging constructive discussions and sharing of ideas.

The doctoral symposium papers will be peer-reviewed in a single-blind review process.

Please see https://www.sisap.org/2025/doctoralsymposium.html  for more details.

SISAP Indexing Challenge

The SISAP Indexing Challenge is an event for researchers and practitioners to test new and/or well-tuned and optimised indexing approaches for shared tasks in laboratory and practical conditions. The Indexing Challenge results provide valuable comparisons of competing approaches and their implementations from given viewpoints and environments.

The Indexing Challenge papers will be peer-reviewed in a single-blind review process.

Please see https://sisap-challenges.github.io/2025/index.html  for more details.

Topics of interest

Topics of interest to the SISAP community include (but are not limited to) the following:

  • Similarity

    • Similarity queries (k-NN, range, reverse NN, top-k, Approximate and/or precise solutions, etc.)

    • Similarity measures (for vectors, graphs, structures, time series, complex data, tensors, secondary similarity, etc.)

    • Similarity operations (joins, ranking, classification, categorization, filtering, etc.)

  • Scalability

    • Indexing and access methods for similarity-based processing

    • High-performance/large-scale similarity search (distributed, parallel, etc.)

    • Data management (transaction support, dynamic maintenance, etc.)

  • Theory

    • Models of similarity

    • Intrinsic dimensionality and Curse of dimensionality

    • Discriminability and contrast

    • Languages for similarity databases

    • Manifolds and subspaces

  • Analytics, Learning, Artificial Intelligence

    • Feature selection and extraction for similarity search

    • Representations learning for feature extraction

    • Visual analytics for similarity-based operations

    • Learning/adaptive similarity measures

    • Similarity in learning and mining

    • Merging/combining multiple similarity modalities

  • Evaluation

    • Evaluation techniques for similarity queries and operations

    • Cost models and analysis for similarity data processing

    • Performance studies and comparisons

    • Test collections and benchmarks

  • Applications

    • Multimedia retrieval systems

    • Dense retrieval

    • Vector databases

    • Similarity search in emerging data domains

    • Applications of similarity-based operations

    • Industrial applications and case studies

    • Similarity search cloud services

    • Security and privacy of in similarity search

    • Similarity for forensics and security

Organization

Steering Committee

  • Giuseppe Amato, CNR-ISTI, Italy

  • Edgar Chávez, CICESE, México

  • Stéphane Marchand-Maillet, University of Geneva, Switzerland

  • Marco Patella, University of Bologna, Italy

  • Benjamin Kimia, Brown Unversity, USA

  • Oscar Pedreira, University of A Coruña, Spain

General Co-Chairs

  • Björn Þór Jónsson, Reykjavik University, Iceland

  • Lucia Vadicamo, CNR-ISTI, Italy

Program Committee Co-Chairs

  • Giuseppe Amato, CNR-ISTI, Italy

  • Vladimir Mic, Aarhus University, Denmark

  • Agma J. M. Traina, University of São Paulo, Brazil

Demonstration Chair

  • Gylfi Þór Guðmundsson, Reykjavik University, Iceland

Doctoral Symposium Chair

  • Laurent Amsaleg, IRISA-CNRS, France

Publications Chair

  • Nicola Messina, CNR-ISTI, Italy

Publicity Chair

  • Luca Ciampi, CNR-ISTI, Italy

  • Conrado Martinez, Universitat Politècnica de Catalunya, Spain

SISAP Indexing Challenge Chairs

  • Eric S. Tellez, CICESE-INFOTEC-CONACyT, Mexico

  • Martin Aumüller, ITU Copenhagen, Denmark

  • Vladimir Mic, Aarhus University, Denmark

  • Edgar Chávez, CICESE, México


Tools for Large-Scale Biomechanics Studies Workshop at RehabWeek 2025

Dear CVML community,

 

My name is Matt Petrucci and I am the Scientific Program Manager for the Restore and Mobilize Centers at Stanford University. I hope this email finds you well!

Our Centers will be running a workshop at RehabWeek 2025 entitled “OpenCap and AddBiomechanics: Tools for Large-Scale Biomechanics Studies” to learn how two tools that we have developed, OpenCap and AddBiomechanics, enable rapid, accessible movement analysis. Through demos and hands-on tutorials, we will demonstrate how these tools accelerate both lab-based and out-of-lab studies of hundreds of participants for movement screening, injury prevention, and monitoring rehabilitation.

Would it be possible for you to help spread the word in your community via a newsletter or repost on X or LinkedIn?

 

If you have any other groups or individuals that you think may be interested, please feel free to share it with them as well. 


Best,

Matt

 

X Announcement: https://x.com/MobilizeCenter/status/1899151105529196670 

 

LinkedIn: https://www.linkedin.com/posts/restore-center_registration-activity-7304917110864891904-V5cZ?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAADKY6RUBzAtuOAq3tp1yVaEc6uawANwK28s 

 

Newsletter Text:

OpenCap and AddBiomechanics Workshop at RehabWeek 2025
May 12-16, 2025, Chicago, IL, USA

Receive guidance from the Stanford-based Restore and Mobilize Centers at the upcoming workshop, “OpenCap and AddBiomechanics: Tools for Large-Scale Biomechanics Studies.” Learn how these tools enable rapid, accessible movement analysis—from measuring 3D human motion using smartphone videos with OpenCap to automating motion capture data processing with AddBiomechanics. Through demos and hands-on tutorials, our team will demonstrate how these tools accelerate both lab-based and out-of-lab studies of hundreds of participants for movement screening, injury prevention, and monitoring rehabilitation.

Learn more | Register for the conference

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