2.1 Human Search Engine 

2.1.1 Face Recognition

2.1.1.1 Large Resnet Models 

   2.1.1.2 Lightweight Mobilenet Models

2.2.2 Facial Attributes Recognition

2.2.2.1 Gender Recognition

2.2.2.2 Age Group Recognition

2.2.2.3 Ethnicity Recognition

2.2.2.4 Skin Color Clustering

2.2.3 Face Anti-spoofing 

2.2.3.1 Still Image Face Anti-spoofing

2.2.3.2 Flash-based Face Anti-spoofing

2.2.4 Facial Virtual Try-on

2.2.4.1 Lipstick & Eyebrow Try-on

2.2.5 Hand Gesture Recognition

2.2.5.1 Uncivil Hand Gesture Recognition

2.2.5.2 VR-glasses Control Gesture Recognition

2.2.6 Human Behavior Understanding

  2.2.6.1 Video Based Human Crowd Counting 

  2.2.6.2 TV Watching Audience Emotion and Attention Understanding 

2.2 Large Scale Image Search Engine

2.2.1 20K Class Plant Image Classification 

2.2.2 50K Class Animal Image Classification

2.2.3 10K Class Landmark Image Classification

2.2.4 Shopping Item Image Classification

 2.2.4.1 Clothes Style recognition

 2.2.4.2 Clothes Category Recognition

 2.2.4.3 Re-ranking for Clothes Search 

  2.2.5 Generic Image Representation Learning

 2.2.5.1 Supervised Representation Learning(CNN/ViT)

 2.2.5.2 Unsupervised Representation Learning (Dino, SwAV, BYOL, MAE)

  2.2.6 Mining Scene Object Segmentation (AI Competition, Winner)

2.3 Model based visual dataset cleaning

2.3.1 Plant Image Dataset Cleaning Model

2.3.2 Animal Image Dataset Cleaning Model

   2.3.3 Human Image Dataset Cleaning Model

2.4 Video Highlight Detection

   2.4.1 Fighting/Explosion Scene Detection

   2.4.2 Dancing Scene Detection

   2.4.3 Video Summarization

2.5 Model Inference Acceleration

2.5.1 Model Acceleration (TensorRT, Quantization)

2.5.2 Deep Hashing Code Learning Model (32X compact)

2.6 Misc.

2.6.1 MRI Image Segmentation - 4 months (For a Fortune 500 Company)

2.6.2 Video Based Hand Hygiene Gesture Recognition

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