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20182022
most citedForecasting Human Trajectory from Scene History

13 citations · 60 across the 17 of their papers we have counts for

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cs.CV202213 cited

Forecasting Human Trajectory from Scene History

Mancheng Meng, Ziyan Wu, Terrence Chen +4

Predicting the future trajectory of a person remains a challenging problem, due to randomness and subjectivity of human movement. However, the moving patterns of human in a constra…

cs.CV20222 cited

Self-supervised Human Mesh Recovery with Cross-Representation Alignment

Xuan Gong, Meng Zheng, Benjamin Planche +4

Fully supervised human mesh recovery methods are data-hungry and have poor generalizability due to the limited availability and diversity of 3D-annotated benchmark datasets. Recent…

cs.CV20215 cited

Spatio-Temporal Representation Factorization for Video-based Person Re-Identification

Abhishek Aich, Meng Zheng, Srikrishna Karanam +3

Despite much recent progress in video-based person re-identification (re-ID), the current state-of-the-art still suffers from common real-world challenges such as appearance simila…

cs.CV2021

Learning Local Recurrent Models for Human Mesh Recovery

Runze Li, Srikrishna Karanam, Ren Li +3

We consider the problem of estimating frame-level full human body meshes given a video of a person with natural motion dynamics. While much progress in this field has been in singl…

cs.CV20213 cited

Everybody Is Unique: Towards Unbiased Human Mesh Recovery

Ren Li, Meng Zheng, Srikrishna Karanam +2

We consider the problem of obese human mesh recovery, i.e., fitting a parametric human mesh to images of obese people. Despite obese person mesh fitting being an important problem…

cs.CV2021

Multi-scale Neural ODEs for 3D Medical Image Registration

Junshen Xu, Eric Z. Chen, Xiao Chen +2

Image registration plays an important role in medical image analysis. Conventional optimization based methods provide an accurate estimation due to the iterative process at the cos…