Machine learning quantifies dew formation mechanisms across China’s climate gradients
Zhe Li, Lin Zhao, Hanbo Ren, Ranmao Yang, Xinxin Li, Zhijiang Zhang, et al.
6 papers indexed
Zhe Li, Lin Zhao, Hanbo Ren, Ranmao Yang, Xinxin Li, Zhijiang Zhang, et al.
Yujin Zhu, Yuwei Wang, Zhuoxuan Li, Kang Chen, Peng Wu, Lin Zhao, et al.
Yuqi Li, Xi Xiao, Yunbei Zhang, Lin Zhao, Yu Li, Aiden Zhao, et al.
Vision foundation models are increasingly reused as frozen backbones for downstream visual recognition, making parameter-efficient adaptation a central problem. Prompt-based adaptation, including Visual Prompt Tuning (VPT), provides a lightweight way to specialize these models, b…
Visual inertial odometry (VIO) is essential for accurate 6-DoF motion estimation in mobile robotic systems. Recent learning-based VIO methods have shown promising progress, but they often rely on unified visual--inertial representations and a single temporal model for full-pose e…
Qingrong He, Lin Zhao, Kevin Zheng, Liang Lin
Vision-and-Language Navigation (VLN) necessitates an embodied agent to navigate in the physical world by adhering to natural language instructions. Recent advancements in Vision-Language Models (VLM) have propelled the development of VLM-based VLN methods with two predominant par…
Janet Wang, Yunbei Zhang, Lin Zhao, Xi Xiao, Jihun Hamm, Xiao Wang
Existing ViT-based weather forecasting models apply uniform computation across all spatial tokens, even though nearby atmospheric grid points often contain similar values and large regions evolve smoothly over time. This makes much of the intermediate per-token computation redund…