Career Profile
Comprehensive understanding of deep learning, computer vision and augmented reality.
Experienced in business include multimeda analysis using deep leanrning and mordern computer vision technique.
Projects
representation learning
- representation learning for AI service
AutoML
- Neural Architecture Search for AutoML
torchskeleton
- Optimized Utilities for PyTorch, “1st place at DAWNBench Image Classification on CIFAR10”, deep learning workloads for quantifying training time
Auto CLNIT
- “AutoCV/AutoCV2 1st place at NeurIPS 2019 AutoDL Challenge”, Fully Automated Image Classification without any human intervention”
Experiences
- AutoML
- New ML Algorithms, Approaches
- Understanding ML System
- Open Source Software
- Multimedia Research
- Machine Learning
- Computer Vision
- Applications
- Object Detection & Image Classification
- Image & Topic Clustering
- Multimedia Research
- Machine Learning
- Computer Vision
- Applications
- Large-scale Image & Video Searching
Vision Based Blob Tracking for Trbletop Interaction System
Hands Interaction in AR using Stereo Vision