Favaro / Kukelova / Maki | Computer Vision – ECCV 2026 | Buch | 978-3-032-37097-6 | www.sack.de

Buch, Englisch, 691 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 LXII
Erscheinungsjahr 2026
ISBN: 978-3-032-37097-6
Verlag: Springer

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

Buch, Englisch, 691 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-032-37097-6
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


D2PO: Optimizing Diffusion Samplers via Dynamic Preference.- Indelible Backdoors: On the Limits of Post-Training Defenses.- NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation.- Leveraging Phase Information to Boost Unrolled Network Learning for Image Deblurring.- BEVOpen3D: Towards Open-World 3D Object Detection in Bird's-Eye-View.- ViewSpatial-Bench: Evaluating Multi-perspective Spatial Localization in Vision-Language Models.- Adaptive Neural Dynamics for Robust Geometric LiDAR-Inertial State Estimation on UAVs.- Diffusion Model as a Generalized Segmentation Learner.- Safe Generalization: Mitigating Catastrophic Forgetting in Single-Source Multi-Organ Segmentation via Collaborative Causal Learning.- PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models.- CSS-BA: Gate Guided Column Space Search for Bundle Adjustment.- FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video Synthesis.- Conditional Flow Matching for Visually-Guided Acoustic Highlighting.- Affordance-Guided Diffusion Prior for 3D Hand Reconstruction.- FedNASP: Federated Vision-Language Navigation with Adaptive Step-wise Personalization.- EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing.- DiffProxy: Multi-View Human Mesh Recovery via Diffusion-Generated Dense Proxies.- Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities.- Diffusion-Based Immersive Visual Reasoning.- Context-Aware Joint Alignment for Cross-Scene Hyperspectral Image Classification.- SOVTrack: Open-Vocabulary Multi-Object Tracking with Self-Supervised Pseudo Labeling and Feature Distillation.- Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation.- Revisiting Scene Graph Generation from the Perspective of Detector-Conditioned Reachability.- ObjectForesight: Predicting 3D Object Trajectories from Human Videos.- Task Alignment: A simple and effective proxy for model merging in computer vision.- Walk through Paintings : Ego-centric World models from Internet Priors.- SEERBench: A Spatial Ego-Exo Reasoning Benchmark for MLLMs with a Simple Yet Effective Baseline.- Revisiting Autoregressive Models for Generative Image Classification.- Towards Reliable Medical Large Vision-Language Models via Counterfactual Preference Optimization.- GEO-Detective: Unveiling Location Privacy Risks in Images with LLM Agents.- Generative Refinement Network for Visual Synthesis.- Towards Geometry-Grounded Dense Semantic Matching with VGGT Priors.- NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neuron Segmentation.- Compact and Structurally Transparent Cervical Cytology with Geometry-Driven Features and Closed-Form Attention.- Wavelet-based Intra-video Counterfactual Reasoning for Video Question Grounding.- FlexAM: Flexible Appearance-Motion Decomposition for Versatile Video Generation Control.- IREU: Identity-Related Encoder-Only Unlearning for Customized Portrait Generation.



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