Project FDNN: FPGA-based Deep Neural Networks
This project aims to accelerate the inference and training of Deep Neural Networks (DNN) using FPGAs for high energy efficiency and low latency in data centers. We have been developing a CNN (Convolutional Neural Network) accelerator…
Image2Text: A Multimodal Caption Generator
Magic Brush
Click to download video We develop the MagicBrush system, a novel painting-based image search engine. This system enables users to draw a color sketch as a query to find images. Different from existing works on…
MindFinder: Finding Images by Sketching
Click to download video Sketch-based image search is a well-known and difficult problem, in which little progress has been made in the past decade in developing a large-scale and practical sketch-based search engine. We have…
Mining 3D Key-Pose-Motifs for Action Recognition
Network Morphism
Deep Neural Networks
We study how to morph a well-trained neural network to a new one, and how to design advanced deep neural networks.