Computer Vision Expertise
PhD-level Computer Vision depth: Medical imaging at 96% Dice, photogrammetry pipelines processing 100GB+ datasets, real-time SLAM at 30 FPS on edge devices.
Medical Image Segmentation
Production-ready computer vision for medical imaging with 95%+ Dice scores across modalities
Typical Results: 96% Dice score, 100ms inference per volume, production deployment
Core Architectures
U-Net, nnU-Net, Mask R-CNN, Swin-UNETR, TransUNet
Medical Modalities
CT, MRI, X-ray, Ultrasound, DICOM integration, 3D volumes
Validation & Testing
Model validation, performance studies, clinical metrics
3D Reconstruction & Photogrammetry
State-of-the-art 3D reconstruction from drone and LiDAR data at sub-centimeter accuracy
Capabilities: 100GB+ datasets, 0.8cm accuracy, real-time processing pipelines
Classical Methods
COLMAP, OpenMVS, SfM, MVS, Bundle Adjustment, Point Cloud Processing
Neural Methods
NeRF, Instant-NGP, 3D Gaussian Splatting, Nerfstudio
Applications
Surveying, Construction, Agriculture, Digital Twins, VFX
Object Detection & Multi-Object Tracking
Production-grade detection and tracking systems with 98%+ mAP for real-time applications
Applications: Manufacturing QC, Sports Analytics, Security, Retail Analytics
Detection Models
YOLO v8/v9, RT-DETR, Detectron2, Faster R-CNN, RetinaNet
Tracking Algorithms
DeepSORT, ByteTrack, OC-SORT, StrongSORT, BoT-SORT
Edge Deployment
TensorRT, ONNX, OpenVINO, Jetson, CoreML, TFLite
SLAM & 4D Robotics Perception
Real-time SLAM and sensor fusion for autonomous navigation at 30+ FPS on edge
Solutions: Visual-Inertial SLAM, LiDAR-Visual Fusion, Dynamic Environment Mapping
SLAM Systems
ORB-SLAM3, VINS-Fusion, LSD-SLAM, DSO, OpenVSLAM
Sensor Fusion
LiDAR-Visual-Inertial, Multi-camera calibration, IMU integration
Edge Platforms
Jetson Orin, Xavier NX, Intel RealSense, OAK-D cameras
Video Analysis & Action Recognition
Real-time video understanding for sports, security, and behavioral analytics
Capabilities: Action recognition, pose estimation, temporal analysis
Video Models
SlowFast, I3D, TSN, Video Transformers, X3D
Pose Estimation
OpenPose, MediaPipe, MMPose, AlphaPose, HRNet
Applications
Sports analytics, Fall detection, Gesture recognition, Activity monitoring
Edge AI & Model Optimization
Deploy CV models on edge devices with 10x speed improvement and 90% size reduction
Results: Real-time inference on mobile, drones, embedded systems
Optimization Tools
TensorRT, ONNX Runtime, OpenVINO, CoreML, TensorFlow Lite
Techniques
Quantization, Pruning, Knowledge Distillation, NAS
Target Hardware
NVIDIA Jetson, Google Coral, Intel NCS, Mobile GPUs
CV Research & SOTA Implementation
Translate latest Computer Vision papers to production-ready implementations
Expertise: Paper implementation, benchmark validation, custom architectures
Latest Models
Vision Transformers, CLIP, SAM, DINO, Stable Diffusion
Benchmarks
COCO, ImageNet, KITTI, Cityscapes, custom datasets
Publications
CVPR, ICCV, ECCV, NeurIPS implementation experience
Ready to Deploy Computer Vision?
Let's discuss how PhD-level CV expertise can solve your perception challenges