Junsheng Zhang — accepted AI-conference papers

2026

MotionMAR: Multi-scale Auto-Regressive Human Motion Reconstruction from Sparse Observations

Yuhua Luo, Junsheng Zhang, Mengyin Liu, Xincheng Lin, Ming Yan, Zhudi Chen +4

ICML 2026poster

Human motion inherently exhibits a sophisticated temporal hierarchical architecture, spanning from global low-frequency trajectories to local high-frequency dynamics. Inspired by this intrinsic property and the success of multi-scale autoregressive modeling in vision, we propose MotionMAR, a novel f…

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2026

Towards Motion Turing Test: Evaluating Human-Likeness in Humanoid Robots

Mingzhe Li, Mengyin Liu, Zekai Wu, Xincheng Lin, Junsheng Zhang, Ming Yan +6

CVPR 2026

Humanoid robots have achieved significant progress in motion generation and control, exhibiting movements that appear increasingly natural and human-like. Inspired by the Turing Test, we propose the Motion Turing Test, a framework that evaluates whether human observers can discriminate between human

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