Computer Vision - ECCV 2024 Workshops (eBook, PDF)

Milan, Italy, September 29-October 4, 2024, Proceedings, Part X
Redaktion: Del Bue, Alessio; Tommasi, Tatiana; Pont-Tuset, Jordi; Canton, Cristian

• Format: PDF

Produktbeschreibung

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024.

These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 398
• Erscheinungstermin: 23. Mai 2025
• Englisch
• ISBN-13: 9783031918568
• Artikelnr.: 74295494

Inhaltsangabe

MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation.- AIM 2024 Sparse Neural Rendering Challenge: Methods and Results.- AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark.- Unsupervised Anomaly Segmentation at High Resolution with Patch-Divide-and-Conquer and Self-Ensembling.- Compression-RQ-VQA: Leveraging Rich Quality-aware Features for Compressed Video Quality Assessment.- Learning from Strong to Weak - An Enhanced Quality Comparison Network via Efficient Transfer Learning.- Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency.- AVSal: Enhancing Video Saliency Prediction through Audio-Visual Fusion and Temporal Aggregation.- SR-VQA: Super-Resolution Video Quality Assessment Model.- AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results.- AIM 2024 Challenge on Video Saliency Prediction: Methods and Results.- Advancing Few-Shot Novel View Synthesis with Teacher-Student Guided Scene Geometry Refinement.- AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.- TASOD: A Data Collection for Tiny and Small Object Detection.- Effective Prior Regularized Sparse Learning.- AIM 2024 Challenge on UHD Blind Photo Quality Assessment.- Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results.- AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content.- Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.- Leveraging Object Priors for Point Tracking.- PVUW 2024 Challenge on Complex Video Understanding: Methods and Results.- LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation.