TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
Paper • 2605.01234 • Published • 2
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TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
Uplifting Table Tennis: A Robust, Real-World Application for 3D Trajectory and Spin Estimation
KieDani
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lorjul
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mrunmai-phatak
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lorjul
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KieDani
authored 7
papers 9 months ago
Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motion
Paper • 2310.17462 • Published • 2
A Fair Ranking and New Model for Panoptic Scene Graph Generation
Paper • 2407.09216 • Published • 2
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes
Paper • 2309.02286 • Published • 2
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings
Paper • 2206.15073 • Published • 2
Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks
Paper • 2211.09446 • Published • 2
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation
Paper • 2405.14467 • Published • 4
Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer
Paper • 2504.19863 • Published • 3
lorjul
authored 2
papers 9 months ago
KieDani
authored 2
papers 9 months ago
lorjul
authored 3
papers over 1 year ago
Adapting the Segment Anything Model During Usage in Novel Situations
Paper • 2404.08421 • Published • 2
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes
Paper • 2304.02939 • Published • 2
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings
Paper • 2206.15073 • Published • 2