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CV-LNM 2026 Computer Vision in the Era of Large
Neural Models
Workshop organized as part of the https://www.iccs-meeting.org/iccs2026/ 29 June - 1 July 2026 • DESY • Hamburg • Germany Workshop description Computer vision, as a branch of computer
science, has undergone dynamic changes due to the emergence of AI and large
models based on various neural structures. Development of large-scale neural
models, including foundation models, vision transformers, and vision–language
architectures has substantially changed computer vision research. The goal of
this workshop on Computer Vision in
the Era of Large Neural Models (CV-LNM) is to invite and bring together
scientists who create or use modern CV methods in their research. Scope of the workshop includes, but is not
limited, to the following topics: -
Foundation models trained on large data sets
for CV -
Large pretrained
vision models and vision transformers -
Vision–language and multimodal learning -
Few-shot and zero-shot learning in CV -
Novel transformer architectures -
Content based image/video/multimedia retrieval -
Large-scale models for spatio-temporal
perception, including video understanding, 3D reconstruction, point-cloud
processing, and visual perception -
CV and large neural models in medicine -
CV based on large neural models in robotics -
Industrial applications of CV in the era of
large neural models -
Parameter-efficient fine-tuning and domain
adaptation -
Data augmentation, synthetic data, semi- and
self-supervised learning -
Intelligent multi-modal agents -
Implementation and practical issues: large
model training techniques, hardware implementations (GPU, ASIC, FPGA), cloud
computations etc. -
Visualization of high dimensional data -
Model interpretability and prediction explainability -
Diffusion and generative based models in CV -
Efficiency, optimization, and deployment in
real-world systems Committees Organizers
Program Committee
Important dates
Paper Submission Papers accepted by the
workshops will be published in a separate volume of the Lecture Notes in
Computational Science (Springer LNCS). The volumes from the Conference and
the Workshops will be published and indexed in the same way. Paper submission via EasyChair: https://www.iccs-meeting.org/iccs2026/call-for-papers/ After the conference, each
workshop will be able to nominate one paper for a special issue of the
Journal of Computational Science – JoCS. The
conference organizers, together with the JoCS
Editorial Board, will then select the papers which best fit the journal’s
scope. Selected authors will be contacted by the conference organizers and
invited to submit extended versions of their ICCS papers. Contact
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