Buch, Englisch, 708 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LIX
Buch, Englisch, 708 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37085-3
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
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
Beyond Alignment: A Generative Matching Paradigm via Flow Matching for Zero-Shot Skeleton-Based Action Recognition.- TooBad: Backdoor Diffusion Models with Ultra-Low Poison Rate and Imperceptible Trigger.- Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval.- PriSM: Parsing and Style-Mixed Consistency for Unsupervised Domain Adaptation in Facial Landmark Detection.- CloSeR: Unified Relational Distillation from Closed-Set Teachers for Category Discovery.- Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking.- Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching.- Pushing the Limits of High-Resolution Weather Forecasting through Data Scaling.- A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning.- Expert Weaving: Marrying Masked AutoRegressive and Diffusion Models for Unified Image Restoration.- E-MOTION: A Dataset for Event-Based Scene Flow Estimation with Independent Moving Objects.- IQA-T1: Tool-based Visual Evidence Reasoning for Image Quality Assessment.- FindingDory: A Benchmark to Evaluate Memory in Embodied Agents.- SafeSAE-VLA: Interpreting OpenVLA Progress Dynamics with Sparse Feature Analysis.- Path-level Hindsight Instructions for Semantic Exploration in Vision-Language Navigation.- Gender Bias in Vision-Language In-Context Learning.- Demystifing Video Reasoning.- MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation.- Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning.- SALT: Self-Consistent Distribution Matching with Cache-Aware Training for Few-Step Video Generation.- CLUE-VAD: Structured Semantic Clues for Understanding Explainable Events in Video Anomaly Detection.- ReInGS: Re-Initializing 3D Gaussians against Sparsity Discrepancy in Few-Shot Novel View Synthesis.- Do Flat Minima Improve Sparse Novel View Synthesis? .- Point2Pose: Occlusion-Recovering 6D Pose Tracking and 3D Reconstruction for Multiple Unknown Objects Via 2D Point Trackers.- A Dual-Transformer Architecture with Cross-Attention for Multi-Camera View Recommendation.- Efficient Camera Pose Augmentation for View Generalization in Robotic Policy Learning.- VISOR++ : VISUAL INPUT BASED STEERING FOR LARGE VISION LANGUAGE MODELS.- Wat3R: Underwater 3D Geometry Learning without Underwater Annotations.- Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration.- Flash-DD: An Ultra Parameter-Efficient Approach to Dataset Distillation.- EVAR: Edge Visual Autoregressive Models via Principled Pruning.- Remembering Across Blocks: Topology-Conditioned Block-Progressive Memory for Skeleton-Based Action Recognition.- FlashVLM: Text-Guided Visual Token Selection for Large Multimodal Models.- BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular priors.- DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering.- Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding.
