Buch, Englisch, 714 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXVII
Buch, Englisch, 714 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37173-7
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
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
Auto3R: Automated 3D Reconstruction and Scanning via Data-driven Uncertainty Quantification.- Capacity Overflow: A Blind Spot for Backdoor Attacks in Vision MoE.- Delineating Knowledge Boundaries for Honest Large Vision-Language Models.- CrossFeat: Bridging Imaging Modalities in Feature Descriptor Space.- Semantically Aligned Gradient-Driven Context-Preserving Image Editing.- When Token Compression Breaks: Structural Pruning vs. Token Reduction for Robust ViT Segmentation under High Compression.- ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents.- ViTAL-X: Video-Text Alignment with Cross-Modal Temporal Edits.- MiNQVIS: Mitigating Noisy Queries for Robust Online Video Instance Segmentation.- Agent-OBJ: Prompt-Driven 3D Adversaries for Multi-Modal Perception.- Constructing and Interpreting Digital Twin Representations for Visual Reasoning via Large Language Models and Reinforcement Learning.- Clue Matters: Empower Video Reasoning with Brain-Inspired Latent Clue Learning.- DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing.- Hierarchical 3D Scene Graph Construction and Belief-based Planning for Semantic Navigation.- PHOSA: Photorealistic 3D Sign Avatar Modeling and Benchmark.- FontCopilot: Towards Generalist Multimodal Large Language Models for Holistic Chinese Font Engineering.- ProtoMappingNet: Interpretable Hierarchical Prototypes through Relational Prototype Mappings.- BrainRiem: Riemannian Prototype Learning for Source-Free Cross-Site Brain Network Diagnosis.- FillGS: Filling Observation Gaps in 4D Gaussian Splatting via Viewpoint-Time Selection and Generative Refinement.- PriSplat: Propagating Reliable Multi-view Information for Distractor-Free 3DGS.- EVEE: Event-Based Online Adaptation for Matching on Unknown Targets.- TerraDiT-O: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive.- UEval: A Benchmark for Unified Multimodal Generation.- Hi-DREAM: Brain Inspired Hierarchical Diffusion for fMRI-to-image Reconstruction via ROI Encoder And visual Mapping.- Towards Spatial Supersensing in the Wild.- H2SVC: Head-aware Heterogeneous Streaming Video Cache for Online Video Understanding.- Practice Makes Perfect: From Explicit Decomposition to Reinforced Latent Planning in Text-to-Human Motion.- MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction.- GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models.- Towards Unsupervised Multi-modal Semantic Segmentation.- AirSplat: Alignment and Rating for Robust Feed-Forward 3D Gaussian Splatting.- BitRIC: Efficient Neural Compression of LiDAR Range Images via Hierarchical Bitplanes.- TurboMPLE: Joint Infrared Turbulence Mitigation and Physical Fields Estimation via Mutual Progressive Layered Extraction.- SIMPLER: Efficient Foundation Model Adaptation via Similarity-Guided Layer Pruning for Earth Observation.- Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting.- When 3D Gaussian Splatting Recovers Real Surfaces.- Bridging Online and Offline Handwriting via Differentiable Physical Rendering.- MemoBench: Benchmarking World Modeling in Dynamically Changing Environments.
