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

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  • Formaat: Paperback / softback, 469 pages, kõrgus x laius: 235x155 mm, 178 Illustrations, color; 2 Illustrations, black and white; LXXXV, 469 p. 180 illus., 178 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15131
  • Ilmumisaeg: 04-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031734637
  • ISBN-13: 9783031734632
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Computer Vision ECCV 2024: 18th European Conference, Milan, Italy, September 29October 4, 2024, Proceedings, Part LXXIII 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 469 pages, kõrgus x laius: 235x155 mm, 178 Illustrations, color; 2 Illustrations, black and white; LXXXV, 469 p. 180 illus., 178 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15131
  • Ilmumisaeg: 04-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031734637
  • ISBN-13: 9783031734632
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031734632.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. 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.
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance.-
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot
Semantic Segmentation.- Think before Placement: Common Sense Enhanced
Transformer for Object Placement.- Oulu Remote-photoplethysmography Physical
Domain Attacks Database (ORPDAD).- Leveraging Imperfect Restoration for Data
Availability Attack.- 3D Weakly Supervised Semantic Segmentation with 2D
Vision-Language Guidance.- Open-set Domain Adaptation via Joint Error based
Multi-class Positive and Unlabeled Learning.- DoubleTake: Geometry Guided
Depth Estimation.- Empowering Embodied Visual Tracking with Visual Foundation
Models and Offline RL.- Street Gaussians: Modeling Dynamic Urban Scenes with
Gaussian Splatting.- Images are Achilles' Heel of Alignment: Exploiting
Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models.-
Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo.-
MetaWeather: Few-Shot Weather-Degraded Image Restoration.- CPT-VR: Improving
Surface Rendering via Closest Point Transform with View-Reflection
Appearance.- Close, But Not There: Boosting Geographic Distance Sensitivity
in Visual Place Recognition.- HiFi-123: Towards High-fidelity One Image to 3D
Content Generation.- Revisiting Adaptive Cellular Recognition Under Domain
Shifts: A Contextual Correspondence View.- Good Teachers Explain:
Explanation-Enhanced Knowledge Distillation.- Stepping Stones: A Progressive
Training Strategy for Audio-Visual Semantic Segmentation.- FRDiff : Feature
Reuse for Universal Training-free Acceleration of Diffusion Models.- Möbius
Transform for Mitigating Perspective Distortions in Representation Learning.-
TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection.-
CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction.- SPVLoc:
Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen
Environments.- OpenDistill3D: Open-World 3D Instance Segmentation with
Unified Self-Distillation for Continual Learning and Unknown Class
Discovery.- DiffCD: A Symmetric Differentiable Chamfer Distance for Neural
Implicit Surface Fitting.- Lost and Found: Overcoming Detector Failures in
Online Multi-Object Tracking.