Research & Publications
We advance the field through rigorous research, reproducible experiments, and open publication of our findings. Our work focuses on practical innovations that push state-of-the-art benchmarks.
Recent Publications
Research Areas
Our research spans multiple domains with a focus on practical impact and reproducibility.
Model Efficiency
Developing techniques for model compression, quantization, and efficient architectures that maintain SOTA performance with reduced computational requirements.
- Knowledge distillation
- Neural architecture search
- Pruning & quantization
- Efficient attention mechanisms
Medical Imaging
Advancing diagnostic AI with focus on segmentation, detection, and classification tasks across multiple imaging modalities.
- Multi-modal learning
- Few-shot medical AI
- Uncertainty quantification
- Explainable predictions
Computer Vision
Pushing boundaries in visual perception for real-world deployment scenarios including autonomous systems and industrial applications.
- Real-time object detection
- Video understanding
- 3D scene reconstruction
- Multi-task learning
Benchmarking & Evaluation
Creating standardized evaluation protocols and comprehensive benchmarks that enable fair comparison of ML methods.
- Reproducibility frameworks
- Dataset curation
- Evaluation metrics
- Leaderboard infrastructure
Preprints & Working Papers
Talks & Presentations
Collaborations
We actively collaborate with academic institutions and research labs. Interested in working together?