About:
Interests:
Machine Learning and Deep Learning
Computer Vision
Audio Processing
Natural Language Processing
Skill:
- C/C++, Python, Qt, C#, Java, CUDA, OpenCL, SIMD
- Tensorflow, Keras, PyTorch, Caffe2
- CUDA/NEON programming on Jetson TX/Nano/Xavier, Android/iOS, Hi3519 and Freescale iMX, TensorRT, MediaPipe
- Git, Jira, BitBucket, SVN
- PostgresDB, MySQL, MongoDB
- Windows, Mac OS, AWS, Embedded Linux
- super-resolution, noise removal, RTSP streaming, OpenCV, GStreamer, Deepstream SDK, camera calibration, multi-camera systems and real-time video processing, real-time 3D visualization/graphics programming
- Yolo, Resnet50, RetinaNet, EfficientNet, Faster-RCNN, Mask-RCNN, SSD-MobileNet, MobileDet, Siamese network
- ArcFace loss, Triplet loss, MobileFaceNet, VarGFaceNet, BlazeFace
- KCF, Kalman filter, DeepSort, Tracktor++, FairMOT
Experiences:
large scale face clustering & search & recognition
people surveillance system
license plate recognition
vehicle surveillance system
object detection & tracking
human pose estimation
super resolution
optimization of algorithm and deep neural network model
Reviews
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