A complete list of all publications:
- Recognizing human actions using novel space-time volume binary patterns.
- Target Position and Speed Estimation Using LiDAR.
- MedianStruck for long-term tracking applications.
- Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers.
- Sequential Boosting for Learning a Random Forest Classifier.
- Random forests and their applications in scene understanding.
- Probabilistic nodes for modelling classification uncertainty for random forest.
- On-The-Fly Handwriting Recognition Using a High-Level Representation.
- Boosted Fractal Integral Paths for Object Detection.
- Thresholding a Random Forest Classifier.
- Multi-sensor Acceleration-Based Action Recognition.
- Motion Binary Patterns for Action Recognition.
- Computation strategies for volume local binary patterns applied to action recognition.
- Exploiting Object Characteristics Using Custom Features for Boosting-Based Classification.
- Cascaded Random Forest for Fast Object Detection.