Favaro / Kukelova / Maki | Computer Vision – ECCV 2026 | Buch | 978-3-032-37094-5 | www.sack.de

Buch, Englisch, 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 LXI
Erscheinungsjahr 2026
ISBN: 978-3-032-37094-5
Verlag: Springer

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

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

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-37094-5
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.

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Research

Weitere Infos & Material


C2E: Boosting Ego-Only 3D Object Detection via Multi-Teacher Contrastive Knowledge Distillation.- Break Visual-Linguistic Asymmetry:  Unleashing VLM's Cross-Modal Potential for General Face Forgery Detection.- AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation.- From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussians.- DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding.- OmniHuman: A Large-scale Dataset and Benchmark for Human-Centric Video Generation.- UECP: Uncertainty-Enhanced Collaborative Perception.- Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation.- When Sinks Help or Hurt: Unified Framework for Attention Sink in MLLMs.- TAQ: Static-Deployable Temporal-Aware Quantization for Real-World Video Super-Resolution.- EGVLR: Evidence-Grounded Vision–Language Reinforcement for Anomaly Reasoning.- SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence.- Bayesian Uncertainty Attribution-Guided Fine-Tuning for Open-Set Action Recognition.- Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT.- BeyondSight: Object Permanence for End-to-End Autonomous Driving.- MCPNet:Masked Coordinate Pooling-based Attention Network for Medical Landmark Detection.- Consistent Feature Transport for Image Relighting.- Structured SIR: Efficient and Expressive Importance-Weighted Inference for High-Dimensional Image Registration.- LivingWorld: Interactive 4D World Generation with Environmental Dynamics.- Robust onion: Peeling Open Vocab Object Detectors Under Noise.- Co-evolving Representations in Joint Image-Feature Diffusion.- PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos.- Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation.- Prosthesis-Aware 3D Human Pose Estimation: A Dataset and Benchmark for RSP Users.- AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors.- Concept-as-Tree: A Controllable Synthetic Data Framework Makes Stronger Personalized VLMs.- Vulnerability of Privacy-Preserving Visual Localization against Diffusion-based Attacks.- LENS: Adaptive Spatio-Temporal Zooming for Keyframe Sampling in Long-Form Videos.- NanoGS: Training-Free and Lightweight Gaussian Splat Simplification.- Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding.- BeTTER: Diagnose the Illusion of Embodied Reasoning in Vision-Language-Action Models.- Continuous Heart Rate Variability Estimation from Egocentric Systems for Skill Assessment.- Video-Oasis: Rethinking Evaluation of Video Understanding.- TPCNet: A Low-Light Image Enhancement Network Inspired by Triple Physical Constraints.- Swap the Right Identity: Spatio-Temporal Preference Optimization for Identity Swapping.- EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics.- CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition.



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