Computer Vision – ECCV 2024 Workshops Milan, Italy, September 29–October 4, 2024, Proceedings, Part X /
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...
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| Інші автори: | , , , |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Редагування: | 1st ed. 2025. |
| Серія: | Lecture Notes in Computer Science,
15632 |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-031-91856-8 |
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| 245 | 1 | 0 | |a Computer Vision – ECCV 2024 Workshops |h [electronic resource] : |b Milan, Italy, September 29–October 4, 2024, Proceedings, Part X / |c edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
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| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 15632 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
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| 650 | 1 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 | 2 | 4 | |a Image Processing. |
| 650 | 2 | 4 | |a User Interfaces and Human Computer Interaction. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Special Purpose and Application-Based Systems. |
| 700 | 1 | |a Del Bue, Alessio. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Canton, Cristian. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Pont-Tuset, Jordi. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tommasi, Tatiana. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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