Full Paper
Papers must be submitted in PDF format, limited to 14 pages including figures and tables, with additional pages allowed for references only, following ACCV2026 style guidelines.
Machine Learning/CORE Unranked
MLCSA 2026
The 6th IEEE International Workshop on Machine Learning and Computing for Visual Semantic Analysis
The 6th Workshop on Machine Learning and Computing for Visual Semantic Analysis (MLCSA2026) is held in conjunction with ACCV2026 and brings together experts from academia, industry, and government to advance machine learning techniques for visual content analysis. It focuses on enabling systems for semantic understanding of visual data, including challenges in computational imaging, multimodal learning, generative models, and trustworthy AI applications.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Topics of Interest
Visual Semantic Analysis & Scene UnderstandingSemantic / Instance Segmentation, Detection and RecognitionActivity / Pattern Learning and RecognitionVideo Analysis and Event RecognitionVision-Language & Multimodal LearningVision-Language Models (VLMs) and Multimodal LLMsMultimodal Learning for Multimedia AnalysisVisual Question Answering, Captioning and Cross-modal RetrievalGenerative Models & Content SynthesisDiffusion Models, Image / Video Generation and EditingImage Enhancement, Restoration and Super-resolutionRepresentation & Large-Scale LearningUnsupervised, Self-supervised and Semi-supervised LearningFoundation Models, Pre-training and Transfer LearningBig Data, Large-Scale Methods and Spatio-temporal Data MiningComputational Imaging, Photography, Sensing & DisplayComputational Photography, Sensing, and DisplayHyper-spectral Image Super-resolution / ReconstructionHigh-speed Video Reconstruction from Compressive ImagingSnapshot 3D Vision & Neural Rendering3D Computer Vision3D Point Cloud Segmentation and ClassificationNeural Rendering, NeRF and 3D Gaussian SplattingEmbodied & Agentic VisionAgentic AI and its Applications in Visual AnalysisAutonomous Driving and Embodied PerceptionBiomedical & Remote Sensing Image AnalysisBiomedical Image Analysis and Medical Data AnalysisRemote Sensing Image UnderstandingApplications, Datasets & Trustworthy MLApplications of Computer Vision, Vision for XApplication of Visual Semantic AnalysisDatasets, Benchmarks and Performance AnalysisEfficient, Robust and Trustworthy / Explainable ML
Policies worth checking twice
- Papers must not have been previously published.
- Papers must not be currently under consideration for publication elsewhere.
- Only electronic submissions via the workshop submission site are accepted.
- Papers must be submitted in PDF format (maximum 20MB).
- Abstracts are limited to 4000 characters.
- Accepted papers must be prepared in LaTeX for the final camera-ready version.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026