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20182025
most citedPerpetual Motion: Generating Unbounded Human Motion

19 citations · 62 across the 16 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 7 cited

We are More than Our Joints: Predicting how 3D Bodies Move

Yan Zhang, Michael J. Black, Siyu Tang

A key step towards understanding human behavior is the prediction of 3D human motion. Successful solutions have many applications in human tracking, HCI, and graphics. Most previou…

cs.CV2020★ 8 cited

4D Human Body Capture from Egocentric Video via 3D Scene Grounding

Miao Liu, Dexin Yang, Yan Zhang +3

We introduce a novel task of reconstructing a time series of second-person 3D human body meshes from monocular egocentric videos. The unique viewpoint and rapid embodied camera mot…

cs.CV2020

PLACE: Proximity Learning of Articulation and Contact in 3D Environments

Siwei Zhang, Yan Zhang, Qianli Ma +2

High fidelity digital 3D environments have been proposed in recent years, however, it remains extremely challenging to automatically equip such environment with realistic human bod…

cs.CV2020★ 12 cited

Grasping Field: Learning Implicit Representations for Human Grasps

Korrawe Karunratanakul, Jinlong Yang, Yan Zhang +3

Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet, human grasps are still difficult to synthesize realistically. There are several key reason…

cs.CV2020★ 19 cited

Perpetual Motion: Generating Unbounded Human Motion

Yan Zhang, Michael J. Black, Siyu Tang

The modeling of human motion using machine learning methods has been widely studied. In essence it is a time-series modeling problem involving predicting how a person will move in…