Buch, Englisch, 652 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part L
Buch, Englisch, 652 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37358-8
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 Bildsignalverarbeitung
- 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 Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
SyncFix: Multi-View Consistent Diffusion Refinement of 3D Reconstructions.- DeCoPatch: Revealing Causal Latent Subspaces in Vision-Language Models for GUI Grounding.- Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets.- MPO: Single-Stream Policy Optimization for Efficient Text-to-Image Alignment.- LatentPilot: Scene-Aware Vision-and-Language Navigation by Dreaming Ahead with Latent Visual Reasoning.- Less Tokens, Better Forecasts: Sparse Residual Routing for Efficient Weather Prediction.- Hi-Nav: Hierarchical Framework for Continuous Vision-Language Navigation via Map Guidance and Waypoint Reasoning.- RoMan-4D: Learning Robot Arm Manipulation from 4D World Models.- mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesis.- SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing.- Markov-Renewal Single-Photon LiDAR Simulator.- Look Less, Think Faster: Joint Token-Compute Adaptation for Multimodal LLMs.- Inference-time Motion Calibration for Video Generation.- MobileManiBench: Simplifying Model Verification for Mobile Manipulation.- Forecasting Animal Motion.- Progressive and Localized Super-Resolution of 3D Objects via Localized Latent Voxel Diffusion.- VNC: A Scale-Space Foundation for Learnable 3D Surface Evolution.- GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence.- BeyondMasks: Evaluating Causal and Physical Consistency in Video Object Removal.- Preventing Expert Collapse in MoE-dVLMs via Modality-Wise Norm Alignment.- Adaptive Latent Trajectory Anchoring for Action Segmentation Dataset Condensation.- Generative Lane Topology Reasoning via Autoregressive Model with Geometry Prior.- PhenoLeaf-TS: A Time-Series Benchmark for Leaf Instance Segmentation, Tracking, and Growth Stage Classification.- MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation.- Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens.- MOOZY: A Patient-First Foundation Model for Computational Pathology.- TriNLOS: Triplane Representations for Neural Non-Line-of-Sight Imaging.- SOMA: From Surface Observations to Muscle Anatomy.- SceneOrchestra: Efficient Agentic 3D Scene Synthesis via Full Tool-Call Trajectory Generation.- FUMO: Prior-Modulated Diffusion for Single Image Reflection Removal.- TraversRL: Traversable Pedestrian Pathway Generation With Reinforcement Learning.- EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation.- Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Time.- StreetForward: Perceiving Dynamic Street with Feedforward Causal Dynamics.- DiffRGD: An Inference-Time Diffusion Guidance Through Riemannian Gradient Descent.- GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data Engine.- Vitality-Aware Compression for Efficient Image-to-Shape Diffusion Transformers.
