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Video2mesh: 3D human pose and shape recovery by a temporal convolutional transformer network
Free accessWiley | 2023| -
NoiseFlow: Learning Optical Flow from Low SNR Cryo-EM Movie
British Library Conference Proceedings | 2022| -
Adversarial Refinement Network for Human Motion Prediction
British Library Conference Proceedings | 2021| -
A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition
British Library Conference Proceedings | 2020| -
Action recognition from depth sequence using depth motion maps-based local ternary patterns and CNN
Online Contents | 2019| -
Action recognition from depth sequence using depth motion maps-based local ternary patterns and CNN
Online Contents | 2019| -
Action recognition from depth sequence using depth motion maps-based local ternary patterns and CNN
Springer Verlag | 2019| -
Multi-view depth-based pairwise feature learning for person-person interaction recognition
Springer Verlag | 2018| -
Multi-view depth-based pairwise feature learning for person-person interaction recognition
Online Contents | 2018| -
Multi-view depth-based pairwise feature learning for person-person interaction recognition
Online Contents | 2018|
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