Zhen Liu

[Google Scholar]   [Resume]


Computer Science
College of Computing
Georgia Institute of Technology


Email : liuzhen1994 [at] gatech [dot] edu


I am currently a master student in computer science at Georgia Institute of Technology. Previously, I received B.S. degrees with highest honor from Georgia Tech where I studied both Computer Science (Theory-Intelligence threads) and Electrical Engineering with a minor in economics.


In 2017, I spent a great summer at as a robotics engineering intern.


My primary research interests are in the areas of 1) deep learning and 2) statistical machine learning with applications in computer vision and robotics. I am fortunate to have been working closely with many excellent researchers and professors (see collaborators).


Decoupled Network
Zhen Liu*, Weiyang Liu*, Bo Dai, Zhiding Yu, Rongmei Lin, Yisen Wang, James M. Rehg, and Le Song.
(* equal contribution)

CVPR 2018 (Spotlight)

Deep Forward and Inverse Perceptual Models for Tracking and Prediction
Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots.

ICRA 2018    [arXiv]

One Shot Learning for Semantic Segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots.

BMVC 2017    [arXiv]

Motion Planning with Graph-Based Trajectories and Gaussian Process Inference
Eric Huang, Mustafa Mukadam, Zhen Liu, Byron Boots.

ICRA 2017    [pdf]  [demo]

Multi Robot Object-based SLAM
Siddharth Choudhary, Luca Carlone, Carlos Nieto, John Rogers, Zhen Liu, Henrik I. Christensen, Frank Dellaert.
ISER 2016    [pdf]  [demo]


Prof. Le Song, Georgia Tech

Prof. Byron Boots, Georgia Tech

Weiyang Liu, Ph.D. student, Georgia Tech

Bo Dai, Ph.D. candidate, Georgia Tech

Amerriza Shaban, Ph.D. candidate, Georgia Tech

Eric Huang, Ph.D. candidate, CMU

Mustafa Mukadam, Ph.D. candidate, Georgia Tech

Alexender Lambert, Ph.D. candidate, Georgia Tech

Shray Bansal, Ph.D. candidate, Georgia Tech

Siddarth Choudhary, Magic Leap