Publications

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

Regularized Evolutionary Algorithm for Dynamic Neural Topology Search

Self-Paced Deep Learning for Weakly Supervised Object Detection