Infrared small target detection (IRSTD) aims to identify small and dim targets in infrared images and has become increasingly important in practical applications such as maritime surveillance, search and rescue, and remote sensing. Most of the IRSTD methods are typically designed for in-distribution settings and suffer...
Ya-Zhou Ma, Lei Xing, Shuanghao Bai et al.· IEEE Transactions on Geoscie...· 0 citations
Scaling robotic foundation models requires diverse training data and reliable evaluation environments. Simulation offers a scalable solution, yet existing generation pipelines remain constrained by predefined assets and skills, a disconnect between scene generation and task generation, and limited support for complex e...
Yi-Kai Qin, Yi-Fei Deng, Ming-Jian Liang et al.· 0 citations
This work proposes DIDO, which distills the converged dynamics of a multi-step video model into a single denoising step and achieves an average success rate of 99.0\% on LIBERO, 76.6\% on LIBERO-Plus, and 92.0\% on RoboTwin, while also demonstrating effective transfer to long-horizon and generalization tasks in real-wo...
Jing Lyu, Shuanghao Bai, Run-Ze Xiao et al.· 2 citations
GraphIR, an architecture-aware intermediate representation that supplements executable programs with a mutation-aligned candidate state, achieves the best overall search performance while maintaining comparable model size and favorable end-to-end NAS efficiency when integrated into OpenEvolve.
Zhen Liu, Wanqi Zhou, Shuanghao Bai et al.· 1 citation
HAF (Humanoid Adaptation Framework), a two-part framework consisting of HAF-VLA and HAF-Steer that transfers off-the-shelf generalist VLA foundation models to humanoid whole-body loco-manipulation, surpasses vanilla single-stage VLA baselines and improves whole-body coordination and task performance.
Lang-Zhe Gu, Cheng-Kai Hou, Meng Li et al.· 3 citations
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