Computer Vision Center, Barcelona
- Advisors: Dr. Luis Herranz , Dr. Joost van de Weijer
- Developed a mathematical framework for studying neural networks which are trained or tested with compressed images for use cases in distributed autonomous driving data collection.
- Designed dataset restoration, a principled algorithm motivated by the aforementioned framework, that utilizes conditional GANs to mitigate the drop in performance by 10-50% when compressed images are used for training in place of uncompressed images. Katakol et al., IEEE TIP ‘21
- Developed techniques for few-shot adaptation ($\approx$ 20% improvement wrt baselines) and continual learning of learned image compressors in collaboration with BBC R&D. Katakol et al., CVPR-W ‘21
