From Research Papers
To Production Systems
We don't just wrap APIs—we implement cutting-edge computer vision research from CVPR, ICCV, and ECCV, adapting novel techniques to solve your specific problems.
Research Areas We Implement
State-of-the-art techniques adapted for commercial deployment
3D Reconstruction & Novel View Synthesis
- ▸Neural Radiance Fields (NeRF) variants
- ▸3D Gaussian Splatting for real-time rendering
- ▸Multi-view stereo and SfM pipelines
- ▸Instant-NGP and efficient variants
Foundation Models & Adaptation
- ▸Segment Anything (SAM) fine-tuning
- ▸CLIP and vision-language models
- ▸Domain-specific model adaptation
- ▸Few-shot and zero-shot learning
Custom Detection & Segmentation
- ▸Modified YOLO architectures for edge
- ▸U-Net, nnU-Net, TransUNet variants
- ▸Mask R-CNN and instance segmentation
- ▸Panoptic and semantic segmentation
Medical Imaging AI
- ▸Organ and lesion segmentation networks
- ▸Medical image registration techniques
- ▸Multi-modal fusion (CT/MRI/PET)
- ▸Pathology slide analysis models
Visual Transformers & Attention
- ▸Vision Transformers (ViT) for classification
- ▸DETR and transformer-based detection
- ▸Self-attention mechanisms for CV
- ▸Swin Transformers and variants
Video Analysis & Tracking
- ▸Multi-object tracking (MOT) algorithms
- ▸Action recognition and video understanding
- ▸Optical flow and motion estimation
- ▸Real-time video segmentation
Recent Research Implementations
Real-world results from cutting-edge papers
Segment Anything Model (SAM) Adaptation
Adapted Meta's SAM foundation model for medical image segmentation in CT scans. Fine-tuned on custom dataset of 5,000 annotated volumes.
3D Gaussian Splatting for Construction
Implemented real-time 3D reconstruction from drone footage for construction site monitoring using latest Gaussian Splatting techniques.
Custom YOLO Architecture for Industrial Inspection
Modified YOLOv8 architecture with attention mechanisms for defect detection on manufacturing lines. Optimized for NVIDIA Jetson deployment.
Our Research-to-Production Process
How we go from paper to deployed system
Paper Analysis & Feasibility
We review the latest papers from CVPR, ICCV, ECCV, and arXiv to identify techniques applicable to your problem. We assess computational requirements, data needs, and potential performance gains.
Clean Implementation
We implement the algorithm from scratch in production-ready code (PyTorch, TensorFlow). No copy-paste from research repos—we build for maintainability and deployment from day one.
Domain Adaptation
We adapt the architecture to your specific data, hardware constraints, and performance requirements. This includes custom loss functions, data augmentation, and architectural modifications.
Optimization & Deployment
We optimize for your target platform (edge devices, cloud, mobile). This includes quantization, pruning, TensorRT conversion, and custom CUDA kernels when needed for real-time performance.
Validation & Documentation
Rigorous testing against benchmarks and real-world data. We provide comprehensive documentation including architecture decisions, hyperparameters, and deployment guides.
Academic Partnerships & Research Access
Located next to Purdue University's CS department
🎓 Research Access
Direct access to cutting-edge research from top-tier universities. We stay current with the latest developments before they hit mainstream tools.
🤝 Collaborative Development
When needed, we collaborate with academic researchers to adapt their work for commercial deployment, ensuring techniques are properly implemented.
📚 Continuous Learning
Our team regularly reviews papers from major conferences (CVPR, ICCV, ECCV, NeurIPS) to identify techniques for client applications.
🔬 PhD-Led Implementation
Led by Dr. Tharindu Mathew (Purdue PhD, Ex-Microsoft Research), ensuring research is properly understood and implemented.
Need a Custom Research Implementation?
Whether it's a specific paper you want implemented or a novel technique you need developed, let's discuss how we can bring cutting-edge research to your production system.
Schedule Research Consultation →