Publication
PICFormer: Perception-Inference-Consistency Loop for Occluded 3D Pose Estimation
A closed-loop feedback Transformer architecture for 3D pose estimation under severe occlusion, featuring Visibility-aware Feature Modulation (VFM) and Gated Pyramid Attention (GPA) modules.
- Date
- January 1, 2026
- Venue
- IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, CCF-B)
This paper addresses the challenging problem of 3D pose estimation under severe occlusion. We propose PICFormer, the first closed-loop feedback Transformer architecture that enables dynamic information correction from downstream inference to upstream perception.
Key Contributions:
- Designed and implemented Visibility-aware Feature Modulation (VFM) module
- Developed Gated Pyramid Attention (GPA) mechanism
- Achieved 2.9mm MPJPE reduction on 3DPW-Occ benchmark, outperforming all contemporary SOTA methods