Buch, Englisch, 666 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LVII
Buch, Englisch, 666 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37334-2
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 Mensch-Maschine-Interaktion
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
StreamGVE: Training-Free Video Editing via Few-Step Streaming Video Generation.- VKSR: Scalable Kernel Surface Reconstruction Using Vecchia's Approximation.- Roam2Room: A Unified Floorplan-to-Furnished Framework for Controllable Indoor Scene Generation.- Progressively Spiral Mamba Fusion for Multimodal Tracking.- Proto-Gaussian: MRI Modality Translation Based on Learnable Structural Prototypes and 2D Gaussian Splatting.- DualCount: Structurally Consistent Density and Point Modeling for Zero-Shot Object Counting.- Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models.- SyntheticDoc: A Large Synthetic Dataset for Document Unwarping and Illumination Correction.- SkySplat-OV: Generalizable Language Gaussian Splatting for Open-Vocabulary Scene Understanding from Sparse Satellite Views.- GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos.- FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model.- Robust Self-Supervised Cross-Modal Super-Resolution against Real-World Misaligned Observations.- MArFE: Multi-Contrast MRI Arbitrary Scale Super-Resolution with Fourier Enhancement.- SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models.- Sector-Level Cross-View Geo-Localization with Implicit Orientation via Azimuthal Scanning.- AeroVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control.- OCTA-SOT: Online Cross-Modal Trajectory Adjustment for RGBT Anti-UAV Single Object Tracking under Spatio-Temporal Misalignment.- Event-based Sparse-view Background-Oriented Schlieren Tomography.- VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension.- Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising.- Scaling Whole-Slide Pathology Foundation Model Pretraining with Billions Off-the-Shelf Tokens.- BaFCo: A Document Understanding Benchmark for Complex Bangla Form Comprehension.- Proximity-Constrained Counterfactual Decoding for Hallucination-Robust Medical VQA.- Learning Implicit Constitutive Laws for Dynamic 3D Gaussian Splatting from Monocular Videos.- On the Vulnerability of Parameter-Level Defenses to Model Merging.- Rethinking Training and Inference for Trajectory Forecasting: Linking Winner-Take-All back to GMMs.- TextDS: Parameter-Efficient Representation Alignment for Scene Text Detection under Distribution Shifts.- HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human–Scene Interactions.- Seeing Fast and Slow: Learning the Flow of Time in Videos.- Feat: Physically-Grounded Material Feature Representation.- SIMON: SImultaneous Multi-Object Navigation.- Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion Models.- FusionTrack: Collaborative Multi-Object Tracking with Arbitrary Multi-UAVs.- Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training.- MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction.- EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning.- DARL: Efficient Document-to-Markup Generation via Look-Ahead Diffusion Trajectory Sampling.
