Weakly Supervised Training of Universal Visual Concepts for Multi-domain Semantic Segmentation
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data
DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition
Automatic universal taxonomies for multi-domain semantic segmentation
Multi-domain semantic segmentation with overlapping labels
Dense open-set recognition based on training with noisy negative images
Dense open-set recognition with synthetic outliers generated by Real NVP
Multi-domain semantic segmentation with pyramidal fusion
Traffic Scene Classification on a Representation Budget
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Convolutional Models for Segmentation and Localization
Teaching
University undergraduate
- Design Patterns (Lecturer in charge, Laboratory exercises, Lecturer in charge, Laboratory exercises)
University graduate
- Deep Learning 1 (Laboratory exercises)
Pristupačnost