Attribute subspaces for zero-shot learning

L Zhou, Y Liu, X Bai, N Li, X Yu, J Zhou, ER Hancock - Pattern Recognition, 2023 - Elsevier
Zero-shot learning (ZSL) aims to recognize unseen categories without corresponding
training samples, which is a practical yet challenging task in computer vision and pattern …

MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video

HW Kim, GH Lee, WJ Nam, KM Jin, TK Kang… - Pattern Recognition, 2024 - Elsevier
Recent advancements in 3D Human Pose Estimation using fully-supervised learning
approach have shown impressive results; however, these methods heavily rely on large …

MLP-JCG: Multi-layer perceptron with joint-coordinate gating for efficient 3D human pose estimation

Z Tang, J Li, Y Hao, R Hong - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Various structural relations/dependencies exist among human body joints, which makes it
possible to estimate 3D poses from 2D sources. The current research on 3D human pose …

ESMformer: Error-aware self-supervised transformer for multi-view 3D human pose estimation

L Zhang, K Zhou, F Lu, Z Li, X Shao, XD Zhou, Y Shi - Pattern Recognition, 2025 - Elsevier
Multi-view 3D human pose estimation (HPE) currently faces several key challenges.
Information from different viewpoints exhibits high variability due to complex environmental …

Complementary phase interleaving-based fringe order recognition for temporal phase unwrapping

H Wu, Y Cao - Pattern Recognition, 2025 - Elsevier
This paper introduces a complementary phase interleaving-based fringe order recognition
method, designed to rectify phase errors encountered in temporal phase unwrapping …