Buch, Englisch, 684 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXIII
Buch, Englisch, 684 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37210-9
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
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
Axolotl3D: a Unified Framework for Faithful 3D Shape Completion.- Geometrically Consistent Multi-View Scene Generation from Freehand Sketches.- Gradient sparsity regularization for training unlearning-compatible models.- Iterative Perceptual Alignment for VLMs via Deterministic Reconstruction Feedback.- SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification.- Training-Free Multi-Concept Image Editing.- OVGGT: O(1) Constant-Cost Streaming Visual Geometry Transformer.- Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors.- NumColor: Precise Numeric Color Control in Text-to-Image Generation.- PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur.- Linguistically-Aligned and Visually-Grounded Preference Optimization for Clinically-Augmented Medical Report Generation.- Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating.- OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning.- Contextual Image Attack: How Visual Context Exposes Multimodal Safety Vulnerabilities.- CtrlCoMo: Controllable Co-Speech Motion Generation with Gesture–Action Disentanglement.- CARA: Collision-Aware Resolution Adaptation for Multiresolution Hash Encoding Based Image Fitting.- What Moves? Localized Motion Representations for Compositional Scene Control.- Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection.- Gravity-aware partially calibrated absolute pose estimation from affine- or rotation-covariant features.- LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression.- Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching.- One-Shot Feed-Forward 360° Animatable Avatar via Inpainted UV-Space Gaussian Modeling.- HuCollisionField: Resolving Self-Collisions via Neural Fields for Human Prediction.- ReliefSAM: A Geometry-Augmented Multi-Prior Adapter for Bas-Relief Segmentation.- Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection.- URHead: A Unified UV-Space Representation for Joint Mesh–3DGS Optimization in Head Avatars.- Let's Reward Step-by-Step: Step-Aware Contrastive Alignment for Vision-Language Navigation in Continuous Environments.- Audio-Visual Continual Test-Time Adaptation without Forgetting.- ?Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy.- Denoising-GS: Gaussian Splatting with Spatial-aware Denoising.- Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection.- CURE: Contextual Debiasing and Unbiased Refinement for Training-Free Open-Vocabulary Semantic Segmentation.- AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning.- MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-Training.- FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small-Object Detection.- Accurate Zero-shot Quantization via Hierarchical Teacher-Assistant Distillation.- LightSTAR: Efficient Visual Document Retrieval via Lightweight Selection with Vision-Adaptive Refinement.
