Leyang Jin — accepted AI-conference papers

2026

Unifying Precise Keyframes and Semantic Control via Multi-level Diffusion

Linjun Wu, Jiejia Yu, Leyang Jin, He Wang, Bowen Zheng, Xu Yang +5

CVPR 2026

Text-conditioned human motion in-betweening leverages keyframes for spatio-temporal control, with text providing high-level semantic guidance for the transitions. However, existing methods are unable to establish a coherent alignment between textual semantics and the spatio-temporal constraints prov

Cited by 0 Source ↗Scholar ↗

2025

Coarse-to-Fine Cross-Modality Generation for Enhancing Vehicle Re-Identification with High-Fidelity Synthetic Data

Leyang Jin, Wei Ji, Tat-Seng Chua, Zhedong Zheng

ICRA 2025

Due to the critical issues of privacy and partial occlusion, license plate information is not always available in vehicle recognition systems. Consequently, researchers have increasingly turned towards vehicle re-identification (reID) techniques to bridge the gap between cross-view camera systems. D

Cited by 1 Source ↗Scholar ↗