Buch, Englisch, 703 Seiten, Format (B × H): 155 mm x 235 mm
19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXVI
Buch, Englisch, 703 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37717-3
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
- 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
Label-Free Text Prototype Adaptation for Open Vocabulary Segmentation.- Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response.- Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models.- AMCoNav: Asynchronous Multi-module Collaborative Framework for Embodied Visual Navigation.- Dynamic Inverse Rendering for Enhanced Material-Lighting Decomposition.- CabinSI: Omni-Cabin Spatial Reasoning through Explicit Visual Cognitive Maps.- Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation.- SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning.- One Trap to Block Them All: Defending Encoder Stealing via Isotropic Uniformity.- SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting.- Causal Intervention in Concept Bottleneck Models.- AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images.- Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth.- Flow Straight to Reality: Perceptually Consistent Flow Matching for Efficient Image Restoration.- MedSPOT: A Workflow-Aware Sequential Grounding Benchmark for Clinical GUI.- OCA: ODE-Driven Cross-Attention for Image-to-Point-Cloud Registration.- Training-free Controllable Motion Generation under Heterogeneous Constraints.- SPARC: Scalable Path-Specific Counterfactual Fairness via Causal Conditional Independence.- DriveVA: Video Action Models are Zero-Shot Drivers.- Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding.- EraseSAE: Surgical Concept Erasure in Text-to-Video Diffusion Models via Sparse Autoencoders.- Sticking Information in Plain Sight: Encoding and Detecting Hidden Stickers in the Real World.- LogicIR: Logic Gate Networks for Image Restoration.- HHA: Hierarchical Hyperbolic Constraints for Imperceptible Point Cloud Attacks.- VLMSysTrojan: Stealthy System-Aware Backdoor Attacks Against Vision-Language Models.- Unified Video Dense Prediction from Disjoint Data.- WorldAgents: Can Foundation Image Models be Agents for 3D World Models?.- ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video.- AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation.- MedGSSR: Generalizable Medical Image Super-Resolution 3D Reconstruction via Hierarchical Feed-forward Gaussian Splatting.- ART-VSR: Adaptive Rectified Trajectories for One-Step Video Super-Resolution.- Reconstructing Dense Depth of Dark Scenes with Sparse LiDAR, Noisy Events, and Blurry RGB.- TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs.- SDSA: Shallow-Deep Squeezing Adapter for Vision-Language Models.- RePlan: Reasoning-Guided Region Planning for Complex Instruction-Based Image Editing.- High-speed Imaging through Turbulence with Event-based Light Fields.- ATP-Bench: Towards the Agentic Tool Planning for MLLM Interleaved Generation.- Pixel-wise Planarity for High-Precision Monocular Plane Segmentation.
