Description

Book Synopsis

.- 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.

Computer Vision ECCV 2024 Workshops

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    A Paperback by Alessio Del Bue

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      View other formats and editions of Computer Vision ECCV 2024 Workshops by Alessio Del Bue

      Publisher: Springer
      Publication Date: 06/06/2025
      ISBN13: 9783031915741, 978-3031915741
      ISBN10:
      Also in:
      Computing Image processing

      Description

      Book Synopsis

      .- 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.

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