Buch, Englisch, 270 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Milan, Italy, September 29-October 4, 2024, Proceedings, Part XIX
Buch, Englisch, 270 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-93805-4
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
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.
