Buch, Englisch, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 657 g
Milan, Italy, September 29-October 4, 2024, Proceedings, Part XIII
Buch, Englisch, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 657 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-91574-1
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 Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
.- EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans.
.- HybridFormer: Bridging Local and Global Spatio-Temporal Dynamics for Efficient Skeleton-Based Action Recognition.
.- MPL: Lifting 3D Human Pose from Multi-view 2D Poses.
.- THP3D: Text-Driven Multi-Granularity 3D Human Parsing.
.- ROMEO: Revisiting Optimization Methods for Reconstructing 3D HumanObject Interaction Models From Images.
.- Leveraging key-points Encoded Human Pose Images for Human Activity Recognition.
.- Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity.
.- Multi-Camera Industrial Open-Set Person Re-Identification and Tracking.
.- Enhanced Action Quality Assessment with Two-Stream Pose and Video Feature Integration.
.- PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation.
.- Enhancing Gait Recognition: Data Augmentation via Physics-Based Biomechanical Simulation.
.- Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB.
.- VATE: a Large Scale Multimodal Spontaneous Dataset for Affective Evaluation.
.- Guidelines for Query and Gallery Image Extraction in Person ReIdentification Systems.
.- Pose-independent 3D Anthropometry from Sparse Data.
.- Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance.
.- FlexControl: Flexible and Efficient Full-Body Controllable Text-to-Motion Generation.
.- Coarse to Fine Human Mesh Recovery with Transformers.
.- Motion Reconstruction via Human Anatomy Diffusion from Sparse Tracking.
.- A vision-based framework for human behavior understanding in industrial assembly lines.
.- Boosting Pose Estimators via Cross-Representation Distillation.
.- Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection.
