19th European Conference, Malmö, Sweden, September 10–12, 2026, Proceedings, Part LXXVIII
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37392-2
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
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
Weitere Infos & Material
SIGNET: Motion-Level Knowledge Transfer for Cross-Language Sign Language Translation.- From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting.- Multi-View Foundation Models.- MambaRaw: Selective State Space Modeling for Efficient 4K RAW Image Reconstruction.- Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection.- Exo2EgoPolicy: Pose-Aligned Cross-View Policy Learning.- PanoLess: Environment Reconstruction from Partial Reflective Views.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- Score-Based Matching with Target Guidance for Cryo-EM Denoising.- PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding.- Large-Scale Light Field Synthesis from Videos Enables Geometrically Consistent Bokeh Editing.- TAIHRI: Task-Aware 3D Human Keypoints Localization for Close-Range Human-Robot Interaction.- TEX-Drive: Temporal Perception Meets Experience-Guided Mixture-of-Experts for End-to-End Autonomous Driving.- MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.- ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning.- CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation.- FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing.- Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels.- Matryoshka Gaussian Splatting.- BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing.- AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.- Finding Highlight Images In Your Albums:From Benchmark To MLLM.- Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion.- MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos.- Dual-Anchoring: Addressing State Drift in Vision-Language Navigation.- DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture.- Mitigating Pose–Scale Discrepancy Bias and Reforming Multi-Support Reasoning for Few-Shot Semantic Segmentation.- Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes.- Physics-Guided Deep Learning for Linear Mueller Matrix Acquisition.- Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding.- What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA.- Incentive Noise and Structural Prior Infusion for Multi-Modal Object Re-Identification.- Mitigating Radar-Inertial Calibration Ambiguities via SO(3) Manifold Steering.- Adversarial Attack and Disturbance Detection by Hadamard-Coded Output Representations for Object Detection and Semantic Segmentation.- AlignMorph: Tuning-Free Diffusion Image Morphing via Explicit Semantic Transport.- RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control.- UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors.- SA-V2V: Training-Free Subject-Aware Video-to-Video Personalization.
