12 citations · 23 across the 7 of their papers we have counts for
11 papers
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière +5
3D point cloud semantic segmentation is fundamental for autonomous driving. Most approaches in the literature neglect an important aspect, i.e., how to deal with domain shift when…
Business Entity Matching with Siamese Graph Convolutional Networks
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka +3
Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automatio…
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
Subhankar Roy, Evgeny Krivosheev, Zhun Zhong +2
In this paper we address multi-target domain adaptation (MTDA), where given one labeled source dataset and multiple unlabeled target datasets that differ in data distributions, the…
Active Hybrid Classification
Evgeny Krivosheev, Fabio Casati, Alessandro Bozzon
Hybrid crowd-machine classifiers can achieve superior performance by combining the cost-effectiveness of automatic classification with the accuracy of human judgment. This paper sh…
Active Learning from Crowd in Document Screening
Evgeny Krivosheev, Burcu Sayin, Alessandro Bozzon +1
In this paper, we explore how to efficiently combine crowdsourcing and machine intelligence for the problem of document screening, where we need to screen documents with a set of m…
Siamese Graph Neural Networks for Data Integration
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka +2
Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automatio…