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Found 4 papers, 3 papers with code
3D Human Mesh Recovery with Sequentially Global Rotation Estimation
This pipeline needs to transform each relative rotation matrix into a global rotation matrix to articulate the canonical mesh, and suffers from accumulated errors along the kinematics chain.
Contextual Instance Decoupling for Robust Multi-Person Pose Estimation
Instead of relying on person bounding boxes to spatially differentiate persons, CID decouples persons in an image into multiple instance-aware feature maps.
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference
Instead of inferring individual keypoints, the Pose-level Inference Network (PINet) directly infers the complete pose cues for a person from his/her visible body parts.
Unsupervised Person Re-identification via Multi-label Classification
Our label prediction and MMCL work iteratively and substantially boost the ReID performance.
Ranked #6 on
Unsupervised Domain Adaptation
on Duke to MSMT
