collaborators

14 papers

cs.GR2026

MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation

Pengcheng Fang, Tengjiao Sun, Xiaoyu Zhan +2

Vector-quantized motion tokenizers provide a compact discrete interface for text-to-motion generation, but most motion-code priors treat code indices as unordered categorical label…

math.NA2026

A Two-Sided Sketching Algorithm for Low-rank Tensor Train Approximation

Gaohang Yu, Yihao Pan, Ailun Jian +1

Tensor train (TT) decomposition is a powerful method to acquire low-rank tensors. However, the computational process is frequently obstructed by the large-scale matrix singular val…

cs.MM2026

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding

Pengcheng Fang, Yuxia Chen, Xiaohao Cai

Video temporal grounding (VTG) aims to localize the start and end timestamps of the event described by a given query within an untrimmed video. Despite the strong open-world video…

cs.CV2026

KV-Control: Parameter-Efficient K/V Injection for Trajectory-Controlled Text-to-Motion

Tengjiao Sun, Pengcheng Fang, Xiaoyu Zhan +4

Text-conditioned 3D human motion models now synthesize plausible motions from prompts, but practical animation and embodied-agent workflows rarely stop at text: a character may nee…

cs.CV2026

SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction

Pengcheng Fang, Hongli Chen, Fangfang Tang +3

Accelerated MRI reconstruction requires recovering missing details while preserving anatomically coherent structures across large spatial regions. State-space models such as Mamba…

cs.GR2026

MotionDuet: Dual-Conditioned 3D Human Motion Generation with Video-Regularized Text Learning

Yi-Yang Zhang, Tengjiao Sun, Pengcheng Fang +4

3D Human motion generation is pivotal across film, animation, gaming, and embodied intelligence. Traditional 3D motion synthesis relies on costly motion capture, while recent work…