Sunny Meng

CBIR. Content-Based Image Retrieval System

ResNet_from_scratch. Implement ResNet family from scratch and train them on CIFAR-10, Tiny ImageNet, and ImageNet datasets

Smile_Detection. Build a CNN (LeNet) model for smile detection

Traffic_Sign_Detection. Implemented Faster R-CNN model for detecting the presence of traffic signs in images and videos.

ALPR. Automatic License Plate Recognition

image_orientation_correction. Apply transfer learning to automatically detect and correct orientation of an image.

SRCNN. Implemented super resolution convolutional neural networks (SRCNN) and applied super resolution to input images.

Vehicles_View_Detection. Implemented SSD model to differentiate the front and rear views of the vehicles in images or video streams.

Emotion_Recognition. Implement a VGG-like network capable of predicting emotion and facial expressions

dogs_vs_cats. Implement AlexNet and transfer learning for detecting whether input image is cat or dog

GoogLeNet_from_scratch. Implement GoogLeNet family from scratch and train them on CIFAR-10, Tiny ImageNet, and ImageNet datasets

Quadrotor_control_and_design. Quadrotor design and control

VGGNet_from_scratch. Implement VGG family from scratch and train them on CIFAR-10, and ImageNet datasets

Advanced_Computer_Vision. Human Tracking, Face Detection and Recognition

Cancer_Detection. (ongoing) Implemented Mask R-CNN model to automatically segment the boundary of potential cancerous regions (specifically Melanoma) from dermoscopic images.

Custom_Object_Detector. Custom Object Detector

Neural_style_transfer. Implement neural style transfer to change the style of art paintings or photos.

Advanced_Mechatronics. car robot design & control