Favaro / Kukelova / Maki | Computer Vision – ECCV 2026 | Buch | 978-3-032-37137-9 | 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 LXXIII
Erscheinungsjahr 2026
ISBN: 978-3-032-37137-9
Verlag: Springer

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

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

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-37137-9
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.

Favaro / Kukelova / Maki Computer Vision – ECCV 2026 jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction.- NEOMAP: Novel-View Synthesis via Noise Initialization by Manifold Alternating Projection.- Aggregating Cross-Domain Knowledge via Learnable Tokens for Multi-Teacher Distillation.- GRF-Recon: Global Ray-Field Optimization for Long-Sequence Feed-forward Reconstruction.- MM-Nav: Multi-View VLA Model for Robust Visual Navigation via Multi-Expert Learning.- A Scalable Vector Graphics Latent Space.- Local Spacing-Aware Hungarian Matching for Stable Point-Supervised Crowd Counting.- Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations.- Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos.- LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language Models.- P3-SAM: Native 3D Part Segmentation.- Bridging Theory and Practice in Source-Free Domain Adaptation via Adversarial Proxy Perturbation.- TIIF-Bench: How Does Your T2I Model Follow Your Instructions?.- Seeing Touch from Motion:  A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation.- SAND: Stage-Aware Noise Decomposition for Training-Free Diffusion Guidance.- VisWordBench: Bridging the Gap in Cross-modal Reasoning for Multimodal Large Language Models.- DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation.- On the Plasticity Collapse in Continual Machine Unlearning.- SHReg: Strictly Rotation-Equivariant Point Cloud Registration via Spherical Harmonics.- Cross-Resolution Distribution Matching for Diffusion Distillation.- Beyond Dense Futures: World Models as Structured Planners for Robotic Manipulation.- COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing.- The Prism Hypothesis: Harmonizing Semantic and Pixel Representations via Unified Autoencoding.- Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration.- SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images.- COLA: Continual Orthogonal Low-Rank Adaptation for Class-Incremental Learning.- DiscoVL: Unveiling Disentangled Cross-Modal Representation Learning via Orthogonal Adversarial Regularization for Vision-Language Models.- SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models.- OREO: Fidelity Alignment in 3D Generation via On-the-fly Rendering-Editing Optimization.- Multi-Hypothesis Test-Time Adaptation to Mitigate Underspecification.- CoGoal3D: Collaborative 3D Object Detection with 3D-Aware Fusion and Refinement.- Learning Egocentric Cues from Exocentric Video using Privileged Egocentric Supervision.- World Models for Learning Dexterous Hand-Object Interactions from Human Videos.- RT-RMOT: A Dataset and Framework for RGB-Thermal Referring Multi-Object Tracking.- Physically Grounded 3D Generative Reconstruction under Hand Occlusion using Proprioception and Multi-Contact Touch.- Instance Segmentation as Tracking: A New Paradigm for Multi-Small-Object Tracking with Event Cameras.- CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance.



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