collaborators

7 papers

cs.CV2026

MotionMERGE: A Multi-granular Framework for Human Motion Editing, Reasoning, Generation, and Explanation

Bizhu Wu, Jinheng Xie, Wenting Chen +5

Recent motion-language models unify tasks like comprehension and generation but operate at a coarse granularity, lacking fine-grained understanding and nuanced control over body pa…

cond-mat.mes-hall2026

Topological Surface Charge Detection via Active Capacitive Compensation: A Pathway to the 4D Quantum Hall Effect

Yuanze Li, Renfei Wang, Yifan Zhang +6

The topological magnetoelectric effect (TME) in three-dimensional topological insulators (TIs), described by , serves as a condensed-matt…

cs.CV2026

X-ray Insights Unleashed: Pioneering the Enhancement of Multi-Label Long-Tail Data

Xinquan Yang, Jinheng Xie, Yawen Huang +6

Long-tailed pulmonary anomalies in chest radiography present formidable diagnostic challenges. Despite the recent strides in diffusion-based methods for enhancing the representatio…

cs.CV2025

DisFaceRep: Representation Disentanglement for Co-occurring Facial Components in Weakly Supervised Face Parsing

Xiaoqin Wang, Xianxu Hou, Meidan Ding +4

Face parsing aims to segment facial images into key components such as eyes, lips, and eyebrows. While existing methods rely on dense pixel-level annotations, such annotations are…

cs.CV2025

FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing

Bizhu Wu, Jinheng Xie, Meidan Ding +5

Generating realistic human motions from textual descriptions has undergone significant advancements. However, existing methods often overlook specific body part movements and their…

cs.CV2025

MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities

Bizhu Wu, Jinheng Xie, Keming Shen +5

Recent motion-aware large language models have demonstrated promising potential in unifying motion comprehension and generation. However, existing approaches primarily focus on coa…