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Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery
Accurate camera motion estimation is essential for recovering global human motion in world coordinates from RGB video inputs. SLAM is …
Fengyuan Yang, Kerui Gu, Ha Linh Nguyen, Tze Ho Elden Tse, Angela Yao
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Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery
KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
2D keypoints are commonly used as an additional cue to refine estimated 3D human meshes. Current methods optimize the pose and shape …
Fengyuan Yang, Kerui Gu, Angela Yao
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KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
Semantic Guided Latent Parts Embedding for Few-Shot Learning
The ability of few-shot learning (FSL) is a basic requirement of intelligent agent learning in the open visual world. However, existing …
Fengyuan Yang, Ruiping Wang, Xilin Chen
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Semantic Guided Latent Parts Embedding for Few-Shot Learning
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Teaching machines to recognize a new category based on few training samples especially only one remains challenging owing to the …
Fengyuan Yang, Ruiping Wang, Xilin Chen
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SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning