Buch, Englisch, 693 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXIX
Buch, Englisch, 693 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37022-8
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
D-VLAM: Differential Vision and Language Mixing for Rehearsal Free Continual Learning.- Mixture of Specialized Vision Experts: Unlocking Complementary Visual Insights for Faithful MLLM Reasoning.- Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models.- PanoRec: Spatially-Structured Sequence Modeling for Multi-Granularity Panoramic Retrieval.- Residual-Guided Expert Specialization for Incomplete Multimodal Learning.- Flash-Refine: Frustum-Guided Local Incremental Learning for Efficient 3D Gaussian Splatting Completion.- OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection.- LiFlow: Flow Matching for 3D LiDAR Scene Completion.- Are Video Reasoning Models Ready to Go Outside?.- UC-VLM: Consistency-Driven Learning for AI-Generated Image Detection with Vision-Language Large Models.- Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels.- ARC-Loc: Leveraging Azimuthal Ray Convergence as a Geometric Cue for Direct Cross-View Localization.- DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing.- EvoVLA: Self-Evolving Vision-Language-Action Model.- DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery.- Fair and Faithful: A Diffusion-Enhanced Dataset and Hybrid State-Space Mamba for Face Super-Resolution.- ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories.- PolyLayout: Multi-room Manhattan Layout Estimation.- Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation.- Histogram-constrained Image Generation.- EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal.- Uncertainty-aware tree height change regression.- DriveFine: Refining-Augmented Masked Diffusion VLA for Accurate and Robust Driving.- PhysEdit: Physically Consistent Image Editing via Causal Enforcement.- Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions.- Why Can Accurate Models Be Learned from Inaccurate Annotations?.- JanusMesh: Fast and Zero-Shot 3D Visual Illusion Generation via Cross-Space Denoising.- Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs.- OCTOPUS: Multi-Agentic Universal Compositional Visual Retrieval.- Diversity-Aware View Partitioning for Scalable VGGT.- WildCity: A Real-World Dataset for City-Scale Rendering and Beyond.- Lifting Ego World Models for Planning and Control.- G2FM: A Geodesic Flow Matching Framework with Geometric Prior for Category-Level 9-DoF Pose Estimation.- Personalizing MLLMs via Reinforced Multimodal Reference Game.- Rethinking IRSTD: Single-Point Supervision Guided Encoder-only Framework is Enough for Infrared Small Target Detection.- MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction.- Learning from Primitive: Probing Visual Reasoning of LVLMs via Counting.
