KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024
Band 15065 - 17%

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

Aus der Reihe Lecture Notes in Computer Science
17% sparen

72,99 € UVP 87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024.

The 2387 papers presented in these proceedings were carefully reviewed...

Beschreibung

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024.


The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 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.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

29.09.2024
Abbildungen

LXXXV, 492 p. 163 illus., 154 illus. in color.
Herausgeber Aleš Leonardis + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

29.09.2024
Abbildungen

LXXXV, 492 p. 163 illus., 154 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

492
Maße (L/B/H)

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

867 g
Sprache

Englisch
ISBN

978-3-031-72666-8
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024

  • ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation.- SINDER: Repairing the Singular Defects of DINOv2.- SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow.- Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation.- General and Task-Oriented Video Segmentation.- VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement.- LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors.- ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.- TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing.- Prompting Future Driven Diffusion Model for Hand Motion Prediction.- Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics.- Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement.- RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation.- UMBRAE: Unified Multimodal Brain Decoding.- NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models.- 3D Single-object Tracking in Point Clouds with High Temporal Variation.- Adaptive Multi-task Learning for Few-shot Object Detection.- Event Trojan: Asynchronous Event-based Backdoor Attacks.- Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization.- Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems.- Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning.- OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers.- LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers.- HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression.- Energy-induced Explicit quantification for Multi-modality MRI fusion.- ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement.- Exemplar-free Continual Representation Learning via Learnable Drift Compensation.