Favaro / Kukelova / Maki | Computer Vision – ECCV 2026 | Buch | 978-3-032-37091-4 | www.sack.de

Buch, Englisch, 709 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

Favaro / Kukelova / Maki

Computer Vision – ECCV 2026

19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LX
Erscheinungsjahr 2026
ISBN: 978-3-032-37091-4
Verlag: Springer

19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LX

Buch, Englisch, 709 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-37091-4
Verlag: Springer


The multi-volume set of LNCS books with volume numbers 17001 up to 17083 constitutes the refereed proceedings of the 19th European Conference on Computer Vision, ECCV 2026, held in Malmö, Sweden, during September 8–12, 2026.

The 2866 papers presented in these proceedings were carefully reviewed and selected from a total of 10,473 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.

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Research

Weitere Infos & Material


P-CORE: Self-Supervised Surface Consistency for Point-Based Neural Editing.- Tactile Modality Fusion for Vision-Language-Action Models.- Ray-Path-Aware Virtual Point Removal on 2D Layer-Wise Nearest Point Map.- UniScale: Arbitrary-Scale Anomaly Generation.- DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection.- Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution.- Structural Assessment for Understanding and Guiding Dataset Distillation in Discrete Token Space.- Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation.- When Higher Order Hurts: Pre-Asymptotic Order Collapse in Generative ODE Sampling — A Theory of Discretization–Learning Interaction.- 3D-Aware VLMs with Implicit and Explicit Geometries.- NeuralGarSim: Geometry-agnostic Garment Simulation with Neural Fields.- MIRROR: Aligning Semantic Relations from Language to Image via Gromov--Wasserstein.- SR-Edit: Region-Aware Image Editing via Self-Refinement.- GraphVid: Interactive Graph-Controllable Video Generation.- Rosetum3D: A Large-Scale 3D Vision Dataset from Preharvest Roses.- Fast and Scalable LiDAR Data Generation for Autonomous Driving Simulation without Raycasting.- Hierarchical Prompt Injector for Domain Generalization Segmentation.- VectorReLoc: Reliable Vectorized SD Map Visual Re-localization with Contrastive Feature Alignment.- Event Stream-based Sign Language Translation: A High-Definition Benchmark Dataset and A Novel Baseline.- FoundationGeo: Learning Spatial Pixel-Wise Fields for Monocular Metric Geometry.- VGEdit: Unlocking Video Generation Priors for Reasoning-Informed Image Editing.- Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning.- Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?.- PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion.- Tesselating The Earth.- ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection.- XSurfer: Reconstructing surface meshes of cerebral and cerebellar cortex from diverse MRI data using untrained neural networks.- HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding.- Predictive Structure Improves Video Diffusion Dynamics.- From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models.- Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition.- Through Van Gogh’s Eyes: Global Style Transfer with Diffusion Model.- RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards.- Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation.- When Rubrics Fail: Error Enumeration as Reward for Reference-Free RL Post-Training.- Continuous Adversarial Flow Models.- UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation.- E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework.



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