会議情報

VISAPP 2026: International Conference on Computer Vision Theory and Applications

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提出日:
2025-10-22
通知日:
2025-12-04
会議日:
2026-03-09
場所:
Marbella, Spain
年:
21
CORE: c   QUALIS: b3   閲覧: 43815   追跡: 18   出席: 7

論文募集

VISAPP 2026 (International Conference on Computer Vision Theory and Applications) is a CORE C / QUALIS B3 conference held in Marbella, Spain on 2026-03-09. The paper submission deadline is 2025-10-22. Acceptance notifications are sent on 2025-12-04.

SCOPE The International Conference on Computer Vision Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners on the area of computer vision methodology and systems, and their application. Five simultaneous tracks will be held, covering all different aspects related to computer vision: Foundations & Representation Learning; Recognition & Detection; Low-level Vision & Computational Imaging; and 3D Vision, Motion, Robotics, Application & Systems. We welcome papers describing original work in any of the areas listed below. Papers describing advanced prototypes, systems, tools and techniques as well as general survey papers indicating future directions are also encouraged. Paper acceptance will be based on quality, relevance to the conference themes and originality. The conference program will include both oral and poster presentations. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged. CONFERENCE AREAS The last decade has seen a revolution in the theory and application of Artificial Intelligence and Machine Learning in Computer Vision. In this conference edition, we look at advanced in Computer Vision based on Machine Learning methods. Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. FOUNDATIONS & REPRESENTATION LEARNING 2. RECOGNITION & DETECTION 3. LOW-LEVEL VISION & COMPUTATIONAL IMAGING 4. 3D VISION, MOTION, ROBOTICS, APPLICATION & SYSTEMS AREA 1: FOUNDATIONS & REPRESENTATION LEARNING Deep Learning for Visual Understanding Domain Adaptation Generative AI Machine Learning Technologies for Vision Multi-task learning Self-supervised Learning Transfer Learning AREA 2: RECOGNITION & DETECTION Categorization and Scene Understanding Event and Human Activity Recognition Face and Expression Recognition Few-Shot Learning Object and Face Recognition Object Detection and Localization Segmentation and Grouping AREA 3: LOW-LEVEL VISION & COMPUTATIONAL IMAGING Color and Texture Analyses Features Extraction Image Enhancement and Restoration Image Formation, Acquisition Devices and Sensors Image Registration Multimodal and Multi-Sensor Models of Image Formation Shape Representation and Matching Visual Attention and Image Saliency AREA 4: 3D VISION, MOTION, ROBOTICS, APPLICATION & SYSTEMS 3D Deep Learning Assistive Computer Vision Content-Based Indexing, Search, and Retrieval Deep Learning for Tracking Device Calibration, Characterization and Modeling Egocentric Vision for Interaction Understanding Entertainment Imaging Applications Human and Computer Interaction Image-Based Modeling and 3D Reconstruction Imaging and Vision for Cultural Heritage Medical Image Applications Mobile and Egocentric Localization Mobile and Egocentric Object Detection and Recognition Mobile Vision Multimedia Forensics Optical Flow and Motion Analyses Simultaneous Localization and Mapping Stereo Vision and Structure from Motion Tracking and Visual Navigation Video Surveillance and Event Detection Vision for Robotics
最終更新 Dou Sun

ベスト ペーパー

時間ベスト ペーパー
2025Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
2025MuSt-NeRF: A Multi-Stage NeRF Pipeline to Enhance Novel View Synthesis
2025Patch-Based Deep Unsupervised Image Segmentation Using Graph Cuts
2024Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay
2024StyleHumanCLIP: Text-Guided Garment Manipulation for StyleGAN-Human
2024Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research Through an Extensive Video-Text Corpus
2023Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems
2023Salient Mask-Guided Vision Transformer for Fine-Grained Classification
2023Uncertainty-Aware DPP Sampling for Active Learning
2022The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
2022Leveraging Local Domains for Image-to-Image Translation
2022SparseDet: Towards End-to-End 3D Object Detection
2021Convolution Filter based Efficient Multispectral Image Demosaicking for Compact MSFAs
2021Normalized Convolution Upsampling for Refined Optical Flow Estimation
2020CAD-based Learning for Egocentric Object Detection in Industrial Context
2020Domain Adaptation for Person Re-identification on New Unlabeled Data
2020Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras
2019Semantic Image Inpainting through Improved Wasserstein Generative Adversarial Networks
2019Camera Tampering Detection using Generative Reference Model and Deep Learned Features
2018Towards Image Colorization with Random Forests
2018Image Restoration using Autoencoding Priors
2017Restoration of Temporal Image Sequence from a Single Image Captured by a Correlation Image Sensor
2017Pose Interpolation for Rolling Shutter Cameras using Non Uniformly Time-Sampled B-splines
2016Leveraging Gabor Phase for Face Identification in Controlled Scenarios
2016Direct Stereo Visual Odometry based on Lines
2015A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes
2015A Comprehensive Approach for Evaluation of Stereo Correspondence Solutions in Augmented Reality
2014Can 3D Shape of the Face Reveal your Age?
2014On the Usage of Sensor Pattern Noise for Picture-to-Identity Linking through Social Network Accounts
2014Fast Segmentation for Texture-based Cartography of whole Slide Images
2014Active Contour Segmentation with Affine Coordinate-based Parametrization
2014Image-based Modelling of Ocean Surface Circulation from Satellite Acquisitions
2014A Bayesian Framework for Enhanced Geometric Reconstruction of Complex Objects by Helmholtz Stereopsis
2013Automated Classification of Therapeutic Face Exercises Using the Kinect
2013Social Cues in Group Formation and Local Interactions for Collective Aativity Analysis
2012Detector of Facial Landmarks Learned by the Structured Output SVM
2012Orientation-based Segmentation of Textured Images by Energy Minimization
2012Static Pose Estimation from Depth Images Using Random Regression Forests and Hough Voting
2011Fast Learnable Object Tracking and Detection in High-Resolution Omnidirectional Images
2011The Spiral Facets - A Unified Framework for the Analysis and Description of 3D Facial Mesh Surfaces
2010Fast Dual Minimization of Weighted TV + L1-Norm for Salt and Pepper Noise Removal
2010Graph Cuts And Approximation of the Euclidean Metric on Anisotropic Grids

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関連仕訳帳

CCF完全な名前インパクト ・ ファクター出版社ISSN
cMachine Vision and Applications2.3Springer0932-8092
Journal of Control Theory and Applications1.5Springer1672-6340
Journal of Optimization Theory and Applications1.5Springer0022-3239
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655

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