Buch, Englisch, 683 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LI
Buch, Englisch, 683 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37355-7
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 Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
Weitere Infos & Material
DepWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors.- Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention.- RAGrasp: A Retrieval-Augmented Framework with Diversity-Aware Modeling for Dexterous Grasp Generation.- CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation.- PDF-Omni: Poincaré Dual Disk Distortion Field-based Recurrent Update for Omnidirectional Stereo Matching.- Don’t Mask Out the Background! Natural-Light Photometric Stereo via Illumination Reconstruction.- Reflection-Aware Reasoning for Non-Line-of-Sight Pedestrian Localization.- Online Segment 3D Gaussians via Launching Virtual Drones.- Perceptual Projection Pruning: Diversity-Aware Video Token Pruning for Multimodal Large Language Models.- AVTok: 1D Unified Tokenization for Holistic Audio-Video Generation.- ORFC: Orthogonal Reparameterization for Low-Bitrate ViT Feature Coding.- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories.- Proteus: Model Leakage-Induced Adversarial Attack in Federated Learning.- MemRoPE: Training-Free Infinite Video Generation via Evolving Memory Tokens.- ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding.- Predicting Consequences and Reinforcing Navigation Policies with Latent World Models.- Attention-based Vision-Language Memory for Spatial Reasoning.- Teaching Vision-Language-Action Models What to See and Where to Look.- ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking.- Learning 1-Bit LiDAR-based Localization with Auxiliary Objective.- Geo-ID: Test-Time Geometric Consensus for Cross-View Consistent Intrinsics.- UniH3: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration.- Urban Boundaries, Social Barriers: A Benchmark and Vision-Centric Framework for Mapping Gated Communities and Equity Implications.- ORION: Ordinal Neural Collapse as a Representation Prior for Visual Navigation.- Personalized Reward Modeling for Text-to-Image Generation.- GCMRD: Global Consistency Multi-teacher Robustness Distillation.- Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification.- TecoPrompt: Temporal-Conservative Prompt Learning for Vision-Language Models.- Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams.- ViQ: Text-Aligned Visual Quantized Representations at Any Resolution.- GAP-MLLM: Geometry-Aligned Pre-training for Activating 3D Spatial Perception in Multimodal Large Language Models.- VVSim: A Large-Scale Aerial-Ground Dataset and Benchmark for Cooperative Perception.- Bayesian Self-Attention with Local Pixel Correlations for Lightweight Denoising Transformers.- NanoVSR: Towards Real-Time Video Super-Resolution on Edge Devices.- Debiased Textual Prompt Tuning for Enhancing Unknown Class Discovery.- Streaming Dense Voxel Representations for 3D Occupancy Prediction.- ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Reconstruction.
