Buch, Englisch, 692 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part XLIX
Buch, Englisch, 692 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37361-8
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
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
Weitere Infos & Material
DRS-VPT: Directly Re-localizing in Scenes using a Vision and Point Transformer.- Geometry Grounding: Elevating Blind Distortion Correction with 3D Structural Priors.- MTVDiff: Multimodal Conditional Latent Diffusion for Enhanced Thermal-to-Visible Face Translation.- OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams.- Infinite Gaze Generation for Videos with Autoregressive Diffusion.- SCORE: SubDistribution-aware Collaborative Knowledge Reinforcing for Cloth-Hybrid Lifelong Person Re-Identification.- OBBSeg: Irregular Lesion Segmentation under Oriented Bounding Box Annotations.- Evaluating and Understanding Model Editing for Medical Vision Language Models.- SAFE-Pruner: Semantic Attention–Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation.- TR-MoE: Temporal Reliability-Aware Mixture-of-Experts for Robust Tracking.- SynVAR: Synergizing Spatial and Semantic Alignment in Visual Autoregressive Model.- Semantic Line Diffusion: Character-Consistent Line Art from text-annotated Storyboards.- From Local Geometry to Global Pseudo-Labeling for Robust Positive–Unlabeled Learning under Covariate Shift.- Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction.- Rethinking Adversary in Semantic Segmentation: An Out-of-Distribution Perspective.- UHD-MFF: Shattering Barriers in Multi-Focus Ultra-High-Definition Image Fusion via Learnable Lookup Tables.- ProAct: Agentic Lookahead in Interactive Environments.- Bottom-up modeling of repeated elements via single image analysis-by-synthesis.- Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation.- BWAFDA: Block-wise Weighted Attention Fusion with Detail-aware for No-Reference Image Quality Assessment.- MeGAS: Thermomechanical Dynamic Gaussian Splatting for Thermophysical Scene Editing.- EgoPHI: Estimating 3D Hand-Object Contact and Force from Egocentric Vision.- Rectified Embedding Flow Learning for Aerial Multi-view Geo-localization.- SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving.- GIDE: Unlocking Diffusion LLMs for Precise Training-Free Image Editing.- IC-World: In-Context Generation for Shared World Modeling.- VERITAS: A Multi-agent Co-scientist for Verifiable Image-Derived Hypothesis Testing.- ROSE: Real-Time Open-World Scene Understanding from Monocular Video via Compact Multimodal 4D Scene Graphs.- FlashBEV: Fast and Memory-Efficient Exact BEV Transformation with IO-Awareness.- Bootstrapping Articulated 3D Reconstruction from 2D Image Collections.- ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs.- HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding.- Synthetic Sub-Aperture Phase Augmentation for Demosaicing 2×2 Shared Microlens Sensors.- Geometric Distillation from Rectified Stereo: Leveraging Epipolar Cues for Monocular Depth.- Trajectory Forcing: Structure-First Generation with Controllable Semantic Trajectories.- DTI: Dynamic Trajectory Initialization for Generative Face Video Super-Resolution.- FreeGen: Feed-Forward Reconstruction–Generation Co-Training for Free-Viewpoint Driving Scene Synthesis.
