Favaro / Kukelova / Maki | Computer Vision – ECCV 2026 | Buch | 978-3-032-37195-9 | www.sack.de

Buch, Englisch, 686 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

Favaro / Kukelova / Maki

Computer Vision – ECCV 2026

19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXIV
Erscheinungsjahr 2026
ISBN: 978-3-032-37195-9
Verlag: Springer

19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXIV

Buch, Englisch, 686 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-37195-9
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.

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Research

Weitere Infos & Material


MedCAGD: Context-Aware Gated Decoder for Robust Medical Image Segmentation.- ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation.- OccDirector: Language-Guided Behavior and Interaction Generation in 4D Occupancy Space.- Leveraging Dark Knowledge for Intrinsic Multimodal Out-of-Distribution Detection.- Direct Autoregressive Diffusion Distillation via Error-aware Causal Pretraining.- Moving Beyond More Views: Redundancy-Aware Ego–Exo Fusion for Proficiency Estimation.- Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT–Quantization Embedding.- Data-Free Client Contribution Estimation via Logit Maximization for Federated Learning.- StructPolicy: Structure-Guided Imitation Learning Robust to Visual Domain Shifts.- Task-Agnostic Incremental Vision-Language Object Detection via Prompt Augmentation and Distribution-Aware Fusion.- Test-time Counterfactual Calibration for Hallucination-Resistant Temporal Grounding.- Whence the Voice? Self-supervised Dual-source Audio-Visual Localisation via Selective Convergence.- CLIMP: Contrastive Language-Image Mamba Pretraining.- DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space.- EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis.- Rolling Shutter Relative Pose Estimation Made Practical.- FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs.- CollectionLoRA: Collecting 50 Effects in 1 LoRA for Deployment.- MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots.- Adversarial Score Distillation for Stable One-Step Diffusion in Real-World Image Super-Resolution.- MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images.- Zero-Shot Novel Depth Synthesis Using Foundation Models Scene Representations.- Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning.- MirrorPPR: Exemplar-Based Portrait Photo Retouching.- Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning.- VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model.- The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models.- UniFusion: Sparse-View 4D Reconstruction via Unified Spatio-temporal Depth Alignment.- Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy.- Noise is a Good Teacher: A Noise-Driven Framework for Robust Collaborative Perception.- WildWorld: A Large-Scale Dataset for Action-Conditioned World Modeling with Explicit State Annotations.- Compact Low-Cost Hyperspectral Imaging via Angular-to-Spectral Diversity Conversion.- VLA Knows Its Limits.- Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent.- EgoTraj: Real-World Egocentric Human Trajectory.- CaRe: Critical Parameter Rectification for Efficient Visual Modeling.- Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks.



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