Posts by Tags

DNN

Randomized Sketches for Deep Kernel Learning

less than 1 minute read

Published:

In this project, randomized sketches has been applied on kernel ridge regression for stochastic learning of DNN feature extractor.

Crowd Counting with DNN

less than 1 minute read

Published:

This is my second project about DNN. In this project manage to order people label a crowd counting dataset and get very familiar to tensorflow.

Kernel Learning

Randomized Sketches for Deep Kernel Learning

less than 1 minute read

Published:

In this project, randomized sketches has been applied on kernel ridge regression for stochastic learning of DNN feature extractor.

Motion Planning

Flipper Planning for Rescue Robots

less than 1 minute read

Published:

This project propose a very inexpensive method on compute the rescue robot morphology (with flipper) in various terrain.

Rescue Robotics

Flipper Planning for Rescue Robots

less than 1 minute read

Published:

This project propose a very inexpensive method on compute the rescue robot morphology (with flipper) in various terrain.

area shape

Area Graph

less than 1 minute read

Published:

This project consists of area graph (ICAR 2019), passage graph and hierarchical area graph (My bachelor thesis).

classification

Crowd Counting with DNN

less than 1 minute read

Published:

This is my second project about DNN. In this project manage to order people label a crowd counting dataset and get very familiar to tensorflow.

distance maps

gaussian processes

image regression

Crowd Counting with DNN

less than 1 minute read

Published:

This is my second project about DNN. In this project manage to order people label a crowd counting dataset and get very familiar to tensorflow.

map representation

Area Graph

less than 1 minute read

Published:

This project consists of area graph (ICAR 2019), passage graph and hierarchical area graph (My bachelor thesis).

mapping

pose estimation

Point Set Registration

less than 1 minute read

Published:

This is the project during my research visiting at Andread Nuechter’s group. The goal is to build efficient feature for very large point cloud matching, e.g., the city data, which is a challenge due to the large size of data and the weak capability of recent descriptor in such a dataset.

regiatration

Point Set Registration

less than 1 minute read

Published:

This is the project during my research visiting at Andread Nuechter’s group. The goal is to build efficient feature for very large point cloud matching, e.g., the city data, which is a challenge due to the large size of data and the weak capability of recent descriptor in such a dataset.