11 citations · 21 across the 7 of their papers we have counts for
7 papers
MEOM: Multi-View Expected-OKS Maximization for Human Pose Triangulation
Ziliang Xiong, Henglin Shi, Per-Erik Forssen
Conventional algebraic triangulation solves 3D human pose estimation (HPE) from multi-view 2D keypoints. The typical approach, decoding 2D keypoints from predicted heatmaps, is unr…
FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervision
Chen Ling, Henglin Shi, Hedvig Kjellström
Monocular 3D face reconstruction estimates a 3D morphable model (3DMM) representation from a single image, providing geometry-aware expression codes that are useful for facial expr…
Exploring Interactions and Regulations in Collaborative Learning: An Interdisciplinary Multimodal Dataset
Yante Li, Yang Liu, KhÁnh Nguyen +4
Collaborative learning is an educational approach that enhances learning through shared goals and working together. Interaction and regulation are two essential factors related to…
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
Haoyu Chen, Hao Tang, Henglin Shi +3
With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years. Existing methods mainly rely on a variety of constraints to achi…
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis
Xin Liu, Henglin Shi, Haoyu Chen +3
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different…
Hyperbolic Deep Neural Networks: A Survey
Wei Peng, Tuomas Varanka, Abdelrahman Mostafa +2
Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synony…
Analyzing the group sparsity based on the rank minimization methods
Zhiyuan Zha, Xin Liu, Xiaohua Huang +5
Sparse coding has achieved a great success in various image processing studies. However, there is not any benchmark to measure the sparsity of image patch/group because sparse disc…