Our Publications

Low-Budget Unsupervised Label Query through Domain Alignment Enforcement

Combining Crowd and Machines for Multi-predicate Item Screening

Online Local Boosting: improving performance inonline decision trees

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

Unsupervised domain adaptation using feature-whitening and consensus loss

Cut Quality Estimation in Industrial Laser Cutting Machines: A Machine Learning Approach

Disentangling monocular 3d object detection

Recurrent U-Net for Resource-Constrained Segmentation