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  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024
Band 15084

Computer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXVI

Aus der Reihe Lecture Notes in Computer Science

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.10.2024

Abbildungen

LXXXV, 495 p. 165 illus., 161 illus. in color.

Herausgeber

Aleš Leonardis + weitere

Verlag

Springer

Seitenzahl

495

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

873 g

Sprache

Englisch

ISBN

978-3-031-73346-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.10.2024

Abbildungen

LXXXV, 495 p. 165 illus., 161 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

495

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

873 g

Sprache

Englisch

ISBN

978-3-031-73346-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024

  • Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving.- Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction.- Exploring Guided Sampling of Conditional GANs.- MotionChain: Conversational Motion Controllers via Multimodal Prompts.- Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition.- Latent Guard: a Safety Framework for Text-to-image Generation.- MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion.- TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection.- OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection.- FoundPose: Unseen Object Pose Estimation with Foundation Features.- Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation.- Kalman-Inspired Feature Propagation for Video Face Super-Resolution.- Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models.- VideoMamba: State Space Model for Efficient Video Understanding.- SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.- Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds.- Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving.- Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models.- Deep Cost Ray Fusion for Sparse Depth Video Completion.- GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection.- DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video.- GraspXL: Generating Grasping Motions for Diverse Objects at Scale.- Source Prompt Disentangled Inversion for Boosting Image Editability with  Diffusion Models.- Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models.- JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.- Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals.- Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection.