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Found 5 papers, 0 papers with code
Domain-Guided Masked Autoencoders for Unique Player Identification
We further introduce a new spatio-temporal network leveraging our novel d-MAE for unique player identification.
Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery
Precise Human Mesh Recovery (HMR) with in-the-wild data is a formidable challenge and is often hindered by depth ambiguities and reduced precision.
Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos
To address these issues, we propose a robust keyframe identification module that extracts frames containing essential high-level information about the jersey number.
Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
The findings highlight the effectiveness of our method in mitigating the challenges posed by motion blur, thereby enhancing the overall quality of pose estimation.
ME-CapsNet: A Multi-Enhanced Capsule Networks with Routing Mechanism
Thus, to tackle this issue, we have proposed ME-CapsNet by introducing deeper convolutional layers to extract important features before passing through modules of capsule layers strategically to improve the performance of the network significantly.
