4 citations · 6 across the 4 of their papers we have counts for
5 papers
Skill-Space Shooting for Autonomous Robot Policy Improvement
Zihang Rui, Renhao Wang, Haoxu Huang +1
Robots deployed in the physical world must be able to improve beyond their initial training as they encounter new situations and failures. For this improvement to scale across task…
Uncertainty of Vision Medical Foundation Models
Haoxu Huang, Narges Razavian
Accurate uncertainty estimation is essential for machine learning systems de- ployed in high-stakes domains such as medicine. Traditional approaches primarily rely on probability o…
Critical Interval MSE: Toward Reliable Offline Validation for Robot Manipulation Policies
Haoxu Huang, Tongsam Zheng, Yifan Chen +2
Real-world evaluation is the gold standard for robot manipulation policies because it tests them against the physical conditions and deployment challenges they are ultimately desig…
3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography
Weicheng Zhu, Haoxu Huang, Huanze Tang +10
Head computed tomography (CT) imaging is a widely-used imaging modality with multitudes of medical indications, particularly in assessing pathology of the brain, skull, and cerebro…
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
Haoxu Huang, Fanqi Lin, Yingdong Hu +2
Foundation models pre-trained on web-scale data are shown to encapsulate extensive world knowledge beneficial for robotic manipulation in the form of task planning. However, the ac…