Xihuai He — accepted AI-conference papers

2026

MMG-VL: A Vision-Language Driven Approach for Multi-Person Motion Generation

Songyuan Yang, Wanrong Huang, Yinuo Liu, Zhang Ke-Di, Xihuai He, Shaowu Yang +1

AAAI 2026technical

Generating realistic and coordinated 3D human motion for multiple individuals within complex environments remains a significant challenge. Existing text-to-motion methods are often ``blind

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture

Huibin Tan, Mingyu Cao, Kun Hu, Xihuai He, Zhe Wang, Hao Li +2

IJCAI 2025

Distinguishing key features in complex visual tasks is challenging. A novel approach treats image patches (tokens) as waves. By using both phase and amplitude, it captures richer semantics and specific invariances compared to pixel-based methods, and allows for feature fusion across regions for a ho

Cited by 0 Source ↗PDF ↗Scholar ↗