The Deep Learning and Computer Vision targets to conduct research on the cutting-edge topics of deep learning and computer vision. Research projects vary from human perspective oriented evaluation of systems to development of new algorithm and methods for technical issues. Additionally, experiments on remote and nondestructive image acquisition methods are performed in the laboratory in order to observe the difficulties faced in real data problems. Our research is directed mainly towards the following areas:
- Object Detection
- Adversarial Attacks
- Medical Imaging
- 3D Model Generation
- Generative Models
- GPU programming