Computer Vision – ECCV 2024 Workshops
Springer International Publishing (Verlag)
978-3-031-93805-4 (ISBN)
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.
Practical Dataset Distillation Based on Deep Support Vectors.- Leveraging FINCH and K-means for Enhanced Cluster-Based Instance Selection.- GSTAM: Efficient Graph Distillation with Structural Attention-Matching.- DiM: Distilling Dataset into Generative Model.- Generative Dataset Distillation using Min-Max Diffusion Model.- Data-Efficient Generation for Dataset Distillation.- Generative Dataset Distillation Based on Diffusion Model.- Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound.- Well Begun is Half Done: The Importance of Initialization in Dataset Distillation.- Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement.- A Spitting Image: Modular Superpixel Tokenization in Vision Transformers.- NIGHT - Non-Line-of-Sight Imaging from indirect Time of Flight data.- Self-accumulative Vision Transformer for Bone Age Assessment using the Sauvegrain Method.- FastTalker: Jointly Generating Speech and Conversational Gestures from Text.- Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification.- CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling.- Unveiling Visual Biases in Audio-Visual Localization Benchmarks.- AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition.- Towards Multimodal In-Context Learning for Vision & Language Models.
| Erscheinungsdatum | 05.06.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | LIV, 270 p. 77 illus., 73 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Artificial Intelligence • computer vision • Human-Computer Interaction (HCI) • Image Analysis • image coding • Image Processing • image reconstruction • Image Segmentation • learning • machine learning • Object recognition • pattern recognition • reconstruction • Signal Processing |
| ISBN-10 | 3-031-93805-4 / 3031938054 |
| ISBN-13 | 978-3-031-93805-4 / 9783031938054 |
| Zustand | Neuware |
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