collaborators

5 papers

cs.CV2026

PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation

Chuqiao Li, Xianghui Xie, Yong Cao +2

Text-conditioned full-body human-object interaction (HOI) generation requires synthesizing human motion and object trajectories that match the input text while remaining precisely…

cs.CV2026

NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models

Yong Cao, Chuqiao Li, Xianghui Xie +2

Reliable evaluation of human motion understanding is fundamental to advancing embodied AI, robotics, and animation. However, existing benchmarks suffer from coarse semantic granula…

cs.LG2026

UniComp: A Unified Evaluation of Large Language Model Compression via Pruning, Quantization, and Distillation

Jonathan von Rad, Yong Cao, Andreas Geiger

Model compression is increasingly essential for deploying large language models (LLMs), yet existing comparative studies largely focus on pruning and quantization evaluated primari…

cs.CV2026

FrankenMotion: Part-level Human Motion Generation and Composition

Chuqiao Li, Xianghui Xie, Yong Cao +2

Human motion generation from text prompts has made remarkable progress in recent years. However, existing methods primarily rely on either sequence-level or action-level descriptio…

cs.CV2024

Unimotion: Unifying 3D Human Motion Synthesis and Understanding

Chuqiao Li, Julian Chibane, Yannan He +3

We introduce Unimotion, the first unified multi-task human motion model capable of both flexible motion control and frame-level motion understanding. While existing works control a…