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Found 2 papers, 2 papers with code
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
To this end, we propose Multi-level Attention Encoder-Decoder Network (MAED), including a Spatial-Temporal Encoder (STE) and a Kinematic Topology Decoder (KTD) to model multi-level attentions in a unified framework.
Ranked #40 on
3D Human Pose Estimation
on MPI-INF-3DHP
Sequential End-to-end Network for Efficient Person Search
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID).
Ranked #7 on
Person Search
on PRW
