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Computer Vision ECCV 2024: 18th European Conference, Milan, Italy, September 29October 4, 2024, Proceedings, Part XLV 2025 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 495 pages, kõrgus x laius: 235x155 mm, 191 Illustrations, color; 12 Illustrations, black and white; LXXXV, 495 p. 203 illus., 191 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15103
  • Ilmumisaeg: 24-Nov-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031729943
  • ISBN-13: 9783031729942
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Computer Vision ECCV 2024: 18th European Conference, Milan, Italy, September 29October 4, 2024, Proceedings, Part XLV 2025 ed.Suurem pilt
  • Formaat: Paperback / softback, 495 pages, kõrgus x laius: 235x155 mm, 191 Illustrations, color; 12 Illustrations, black and white; LXXXV, 495 p. 203 illus., 191 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15103
  • Ilmumisaeg: 24-Nov-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031729943
  • ISBN-13: 9783031729942
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031729942.html
Märksõnad:
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 29October 4, 2024.





The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. The papers 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.
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter.- Physical-Based
Event Camera Simulator.- V-IRL: Grounding Virtual Intelligence in Real Life.-
Adversarial Prompt Tuning for Vision-Language Models.- Relightable 3D
Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray
Tracing.- Mono-ViFI: A Unified Learning Framework for Self-supervised Single-
and Multi-frame Monocular Depth Estimation.- CC-SAM: Enhancing SAM with
Cross-feature Attention and Context for Ultrasound Image Segmentation.- An
Efficient and Effective Transformer Decoder-Based Framework  for Multi-Task
Visual Grounding.- Think2Drive: Efficient Reinforcement Learning by Thinking
with Latent World Model for Autonomous Driving (in CARLA-v2).- PanGu-Draw:
Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled
Training and Reusable Coop-Diffusion.- X-InstructBLIP: A Framework for
Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal
Reasoning.- Learning Neural Volumetric Pose Features for Camera
Localization.- Betrayed by Attention: A Simple yet Effective Approach for
Self-supervised Video Object Segmentation.- REFRAME: Reflective Surface
Real-Time Rendering for Mobile Devices.- Self-Training Room Layout via
Geometry-aware Ray-casting.- Closed-Loop Unsupervised Representation
Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic
Feedback.- Rethinking Weakly-supervised Video Temporal Grounding From a Game
Perspective.- Every Pixel Has its Moments: Ultra-High-Resolution Unpaired
Image-to-Image Translation via Dense Normalization.- ZoLA: Zero-Shot Creative
Long Animation Generation with Short Video Model.- Parameter-Efficient and
Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.-
Restore Anything with Masks:  Leveraging Mask Image Modeling for Blind
All-in-One Image Restoration.- When Fast Fourier Transform Meets Transformer
for Image Restoration.- Dolphins: Multimodal Language Model for Driving.-
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and
Diffusion Model.- CamoTeacher: Dual-Rotation Consistency Learning for
Semi-Supervised Camouflaged Object Detection.- Placing Objects in Context via
Inpainting for Out-of-distribution Segmentation.- Textual Grounding for
Open-vocabulary Visual Information Extraction in Layout-diversified Documents.