18 citations · 35 across the 15 of their papers we have counts for
5 papers · 1 filter
MiVLA: Towards Generalizable Vision-Language-Action Model with Human-Robot Mutual Imitation Pre-training
Zhenhan Yin, Xuanhan Wang, Jiahao Jiang +8
While leveraging abundant human videos and simulated robot data poses a scalable solution to the scarcity of real-world robot data, the generalization capability of existing vision…
Pseudo-Label Refinement for Robust Wheat Head Segmentation via Two-Stage Hybrid Training
Jiahao Jiang, Zhangrui Yang, Xuanhan Wang +1
This extended abstract details our solution for the Global Wheat Full Semantic Segmentation Competition. We developed a systematic self-training framework. This framework combines…
Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models
Xuanhan Wang, Huimin Deng, Ke Liu +3
Human-centric vision models (HVMs) have achieved remarkable generalization due to large-scale pretraining on massive person images. However, their dependence on large neural archit…
Learning Generalizable and Efficient Image Watermarking via Hierarchical Two-Stage Optimization
Ke Liu, Xuanhan Wang, Qilong Zhang +2
Deep image watermarking, which refers to enabling imperceptible watermark embedding and reliable extraction in cover images, has been shown to be effective for copyright protection…
Scale-Aware Pre-Training for Human-Centric Visual Perception: Enabling Lightweight and Generalizable Models
Xuanhan Wang, Huimin Deng, Lianli Gao +1
Human-centric visual perception (HVP) has recently achieved remarkable progress due to advancements in large-scale self-supervised pretraining (SSP). However, existing HVP models f…