316 citations · 607 across the 14 of their papers we have counts for
14 papers
Frustratingly Easy Model Generalization by Dummy Risk Minimization
Juncheng Wang, Jindong Wang, Xixu Hu +2
Empirical risk minimization (ERM) is a fundamental machine learning paradigm. However, its generalization ability is limited in various tasks. In this paper, we devise Dummy Risk M…
GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
Zhening Huang, Xiaoyang Wu, Hengshuang Zhao +4
Current point cloud segmentation architectures suffer from limited long-range feature modeling, as they mostly rely on aggregating information with local neighborhoods. Furthermore…
Linear quadratic mean-field game-team analysis: a mixed coalition approach
Huang Jianhui, Qiu Zhenghong, Wang Shujun +1
Mean-field theory has been extensively explored in decision analysis of {large-scale} (LS) systems but traditionally in ``pure" cooperative or competitive settings. This leads to t…
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Zhongying Deng, Yanqi Chen, Lihao Liu +4
Traffic flow analysis is revolutionising traffic management. Qualifying traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest…
gMeta: Template-based Regular Expression Generation over Noisy Examples
Shujun Wang, Yongqiang Tian andDengcheng He
Regular expressions (regexes) are widely used in different fields of computer science, such as programming languages, string processing, and databases. However, existing tools for…
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Yanqi Cheng, Lihao Liu, Shujun Wang +3
Surgical action triplet recognition provides a better understanding of the surgical scene. This task is of high relevance as it provides the surgeon with context-aware support and…