Jiaxin Liu

Neural network assisted-augmented Kalman filter for joint input-state estimation

Yiqing Wang, Mingming Song, Jiaxin Liu, Caihong Bao, Wenjun Cao, Limin Sun

FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On

Jiaxin Liu, Xiaoye Liang, Lai Jiang, Mai Xu, Jun Liu

Image-based Virtual Try-On (IVTON) has greatly advanced through diffusion models, yet existing methods require many sampling steps and depend on masks with costly auxiliary networks. In addition, the absence of large-scale mask-free paired datasets further limits the development…Read more

Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model

Jiaxin Liu, Xun Xu, Zhenhao Zhang, Hanqing Wang, Ruiqi Chen, Shi Chang, et al.

Vision-Language-Action (VLA) models have become an important paradigm of embodied AI. However, existing VLA models typically assume well-lit and stable indoor settings, while real-world embodied manipulation may involve degraded RGB observations caused by illumination shifts, pos…Read more