Scholar
Leonid Karlinsky
Google Scholar ID: WbO7tjYAAAAJ
Principal Research Scientist, MIT-IBM Watson AI Lab, IBM Research
Citations & Impact
Citations
6,126
H-index
37
i10-index
69
Publications
20
Co-authors
33
list available
Publications
Resume (English only)
Academic Achievements
- Published research on MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
- Explored Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- Developed CHARTER: heatmap-based multi-type chart data extraction tool
- Proposed Adafuse: Adaptive temporal fusion network for efficient action recognition
- Conducted A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Research Experience
- Engaged in computer vision research at IBM Research Israel, including medical imaging analytics and solutions.
Background
- Research interests include learning with limited labels, cross-domain, self-supervised and multi-modal learning, and modern model architectures. Focuses on innovative state-of-the-art research that makes a difference.
