1 citations · 1 across the 4 of their papers we have counts for
4 papers
NF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping
Xuan Yu, Yili Liu, Sitong Mao +4
LiDAR Mapping has been a long-standing problem in robotics. Recent progress in neural implicit representation has brought new opportunities to robotic mapping. In this paper, we pr…
Mixed Set Domain Adaptation
Sitong Mao, Keli Zhang, Fu-lai Chung
In the settings of conventional domain adaptation, categories of the source dataset are from the same domain (or domains for multi-source domain adaptation), which is not always tr…
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation
Sitong Mao, Xiao Shen, Fu-lai Chung
Open set domain adaptation refers to the scenario that the target domain contains categories that do not exist in the source domain. It is a more common situation in the reality co…
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao, Jiaxin Chen, Xiao Shen +1
Domain adaptation refers to the learning scenario that a model learned from the source data is applied on the target data which have the same categories but different distribution.…