AUSTech 2026 Workshop @ ICPR 2026 (Deadline May 31)

We are pleased to invite submissions to the workshop: AUSTech 2026: Advances in Underwater Surveillance: Technologies, Challenges, and Future Directions held in conjunction with ICPR 2026 Lyon, France on August 17–22, 2026.

Workshop website: https://austechworkshop.github.io/icpr/

We welcome original research contributions related to underwater surveillance and intelligent marine systems, including (but not limited to):

• Underwater imaging and vision systems
• Sensor fusion for underwater perception
• Underwater communication and networking
• Autonomous underwater vehicles (AUVs) and robotics
• AI and deep learning for marine monitoring
• Environmental and industrial underwater applications

Important Dates:
• Paper submission deadline: May 31, 2026
• Notification of acceptance: July 15, 2026
• Camera-ready submission: July 28, 2026

Submission link: https://cmt3.research.microsoft.com/AUSTech2026

Selected accepted papers will be included in the ICPR 2026 workshop proceedings published by Springer LNCS.

Best regards,
Meghna
Post-Doctoral Researcher,
L3I Lab, La Rochelle, France

44 Speakers Confirmed for TMLS 2026

Manuela Veloso Founder + Head of AI Research at JPMorganChase opens. Full lineup is now live.

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Manuela Veloso, founder & Head of AI Research at JPMorganChase opens TMLS 2026 with a hard truth about AI agents: they can't improve alone.

The full lineup is live. 44 speakers across two days, with the executives leading AI at CIBC, RBC, Scotiabank, TD, Amazon, and Shopify in the same building on June 17.

The hallway conversations carry as much signal as the program.

June 17–18 in-person at CIBC Square. Virtual June 16. 

→ See the full lineup

TMLS Team

Call for Papers – ECCV Workshop on Computer Vision for Natural Heritage

🌿 The Computer Vision for Natural Heritage (CVNH) is an ECCV workshop that brings together computer vision researchers, natural heritage digitization experts, and domain scientists to advance methods for analyzing 2D, 3D, and multi-modal imaging of natural history collections and to identify open challenges.
📄 Abstract: Globally, large-scale digitization initiatives are generating massive image datasets from natural history collections. Computer vision is essential for unlocking the scientific value of these data, enabling automated extraction of specimen information and supporting research in biodiversity, ecology, and evolution, including studies of migration and ongoing mass extinction. Despite controlled imaging conditions and rich metadata, automated analysis remains challenging due to complex specimen structures, varying appearances, and handwritten labels. Natural history datasets span 2D images (e.g., photographs, multi-spectral scans), 3D volumetric data (e.g., micro-CT), and multi‑modal inputs (e.g., image-text pairs).
📢 Call for Papers: The covered topics include but are not limited to:
  • Digitization and mobilisation of specimen data from labels and archive cards
  • 2D and 3D specimen imaging
  • Robotic vision for automated imaging
  • Species recognition and AI‑assisted species description
  • Phenology estimation from collection specimens
  • Benchmarks, datasets, and evaluation protocols
  • Vision-based quality control and error detection
  • Morphological trait extraction using CV
  • Computational challenges for species recognition (CT-scans of micro‑fossils and handwritten insect labels)
🏆 Kaggle challenges: We are also launching two Kaggle Challenges. The authors of the top-performing submissions will be invited to participate in a paper.
  1. Foram2026 Challenge: Detection and classification of microCT 3D scans of Forameniferas.
  2. SCAT2026: Text recognition and text type identification (e.g., “date”, “locality”) in museum label photographs.
🎤 Speakers: Elizabeth G. Campolongo (Senior Data Scientist for the Imageomics Institute, The Ohio State University (United States)); Emily Baird (Professor at the Stockholm University (Sweden)); Moritz Lürig (Assistant Professor at Bonn University (Germany)); Joakim Bruslund Haurum (Assistant Professor at the University of Southern Denmark (Denmark)).
👥 Organizers: Kim Steenstrup Pedersen (Professor, Natural History Museum Denmark, University of Copenhagen); Anders Bjorholm Dahl (Professor, Technical University of Denmark & QIM); Hans Martin Kjer (Associate Professor, Technical University of Denmark & QIM); Roberta Eleanor Hunt (Postdoctoral Researcher, University of Copenhagen); J. Miguel Valverde (Postdoctoral Researcher, Technical University of Denmark & QIM).
📅 Date: September 8th or 9th, 2026 (TBA)
📍 Location: Malmö (Sweden)

CfP – Special Session on Multimodal AI in Archaeology @ ANNPR 2026

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_________________________________________
Sinem Aslan
Associate Professor of Computer Science
University of Milan 

M: sinem.aslan@unimi.it  
W: https://sinemaslanx.github.io/

CFP PE-WASUN 2026

May 13th, 2026 Daniela Lopez de Luise
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