19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXVIII
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37151-5
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.
Chapter "Gaussians on Fire: High-Frequency Reconstruction of Flames" is available open access under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
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
Learning Probabilistic Prompt for Continual Learning.- 3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints.- Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration.- Trajectory-aware Cross-view Geo-Localization with Sequential Observations.- Pathwise Test-Time Correction for Autoregressive Long Video Generation.- X2SAM: Any Segmentation in Images and Videos.- InnoText: A Unified Model for Visual Text Generation and Editing.- Decoupling Complexity from Scale in Latent Diffusion Model.- Head Avatars with Dynamic Explicit Hair.- General Self-Calibration with Varying Intrinsics.- CaPCL: Caption-Preserved Continual Learning for Text-to-Image Retrieval.- FairSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation.- ScenarioControl: Vision-language Controllable Vectorized Latent Scenario Generation.- Moiré Video Authentication: A Physical Signature Against AI Video Generation.- Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models.- MATCH: Flow Matching for Multi-View Anomaly Detection.- Mind-to-Face: Neural-Driven Photorealistic Avatar Synthesis via EEG Decoding.- OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras.- OrthoTailor: Geometric Orthogonalization for Conflict-Free Unified Fashion Generation.- GaINeR: Geometry-Aware Implicit Neural Representation for Image Editing.- EffiDINO: Task-Specific Model Pruning via Gram Anchoring Subspace Consistency.- PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection.- Recurrent Cross-View Object Geo-Localization.- MoScale: Autoregressive Next-Scale Prediction for Human Motion Generation and Editing.- Gaussians on Fire: High-Frequency Reconstruction of Flames.- Learning Accurate Segmentation Purely from Self-Supervision.- GenAgent: Scaling Text-to-Image Generation via Agentic Multimodal Reasoning.- SARIF: Segment Anything for Robust Image Forensics.- OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better.- StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning.- SRRA: Stable-Rank-Based Residual Adaptation for Generalizable Deepfake Detection.- Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs.- Schroedinger’s Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics.- Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models.- Learning Semantic-Robust Change Detection via Semantic-Invariant Self-Distillation.- SplatCtrlA: Generalizable Single Image to Fully Controllable 3D Avatar.- RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation.
