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  • Produktbild: Computer Vision – ECCV 2024
  • Produktbild: Computer Vision – ECCV 2024
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Computer Vision – ECCV 2024 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part X

Aus der Reihe Lecture Notes in Computer Science
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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

03.11.2024
Abbildungen

LXXXV, 497 p. 179 illus., 173 illus. in color.
Herausgeber Aleš Leonardis + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

03.11.2024
Abbildungen

LXXXV, 497 p. 179 illus., 173 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

497
Maße (L/B/H)

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

873 g
Sprache

Englisch
ISBN

978-3-031-72683-5
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

  • Modeling and Driving Human Body Soundfields through Acoustic Primitives.- m&m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks.- Label-anticipated Event Disentanglement for Audio-Visual Video Parsing.- High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding.- Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization.- I-MedSAM: Implicit Medical Image Segmentation with Segment Anything.- ReMamber: Referring Image Segmentation with Mamba Twister.- TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting.- CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios.- Segmentation-guided Layer-wise Image Vectorization with Gradient Fills.- Implicit Style-Content Separation using B-LoRA.- OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models.- ActionVOS: Actions as Prompts for Video Object Segmentation.- FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance.- U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation.- Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization.- Rotary Position Embedding for Vision Transformer.- Local All-Pair Correspondence for Point Tracking.- MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection.- ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments.- S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis.- ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos.- Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos.- PQ-SAM: Post-training Quantization for Segment Anything Model.- CPM: Class-conditional Prompting Machine for Audio-visual Segmentation.- Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition.- DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment.