Wei Liu

PhD Student
Department of Computer Science
The University of North Carolina at Chapel Hill
Office: Sitterson Hall at UNC, Chapel Hill, NC, 11794
Email: wli...@cs.unc.edu

I am a PhD student of Computer Science department at The University of North Carolina at Chapel Hill under the supervision of Prof. Alex Berg. I received my B.S. at Nanjing University at China in Jul. of 2009. Then, from Aug. 2009 to Jul. 2011, I worked as a research assistant at Carnegie Mellon University for two years with Prof. Fernando De la Torr and Prof. Alex Hauptmann. From Sep. 2011 to May 2012, I did one year PhD study at Computer Science department at UNC Chapel Hill under the supervision of Prof. Svetlana Lazebnik. From May 2012 to Aug. 2012, I was a research intern at the Core Location team under iOS Department at Apple, and I presented my project to SVP Scott Forstall. From Sep. 2012 to Aug. 2013, I did one year PhD study at Computer Science department at Stony Brook University under the supervision of Prof. Alex Berg, then I moved with him back to UNC Chapel Hill in Aug. 2013. I did a great internship at Google Mountain View in 2014 summer. Our team GoogLeNet won the classification and detection challenge in ILSVRC2014. My research speciality is computer vision. The main focus of my current research include:
  • Abrige the semantic gap of image understanding with deep neural networks
  • Recognize and detect objects from large scale image and video dataset

Google Scholar, Resume, LinkedIn



Frustum PointNets for 3D Object Detection from RGB-D Data [arXiv] [code] [KITTI benchmark]
Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su and Leonidas J. Guibas
CVPR 2018
DSSD : Deconvolutional Single Shot Detector [arXiv] [demo]
Cheng-Yang Fu*, Wei Liu*, Ananth Ranga, Ambrish Tyagi, and Alexander C. Berg
arXiv preprint arXiv:1701.06659, *=Equal Contribution
Fast Single Shot Detection and Pose Estimation [pdf] [arXiv]
Patrick Poirson, Phil Ammirato, Cheng-Yang Fu, Wei Liu, Jana Kosecka, and Alexander C. Berg
3DV 2016.
SSD: Single Shot MultiBox Detector [pdf] [arXiv] [code] [video] [slides (pdf)] [slides (keynote)]
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy,
Scott Reed, Cheng-Yang Fu, and Alexander C. Berg
ECCV 2016 Oral.
ParseNet: Looking Wider to See Better [pdf] [arXiv] [code]
Wei Liu, Andrew Rabinovich, and Alexander C. Berg
ICLR 2016 workshop.
Refer-to-as Relations as Semantic Knowledge [pdf]
Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Tamara L. Berg,
Alexander C. Berg, and Yejin Choi
AAAI 2015.
Predicting Entry-Level Categories [pdf] [link]
Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, and Tamara L. Berg
IJCV 2015 Marr Prize Special Issue.

Learning to Name Objects
Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, and Tamara L. Berg
Communications of the ACM. CACM 2015. (~Research Highlight)
Going deeper with convolutions [pdf][poster]
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov,
Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich
CVPR 2015 Oral.
Double Fusion for Multimedia Event Detection [pdf]
Zhenzhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, and Alexander G. Hauptmann
The 18th Int. Conf. on Multimdeida Modeling (MMM'12), 2012.
Informedia@TRECVID 2010 [pdf]
Huan Li, Lei Bao, Zan Gao, Arnold Overwijk, Wei Liu, Long-fei Zhang,
Shoou-I Yu, Ming-yu Chen, Florian Metze, and Alexander G. Hauptmann
TRECVID Video Retrieval Evaluation Workshop, NIST, 2010.
Rushes Video Summarization via Dynamic Unsupervised Learning [pdf]
Yang Liu, Feng Zhou, Wei Liu, Fernando de la Torre, and Yan Liu
ACM Multimedia 2010.
Extending Semi-supervised Learning Methods for Inductive Transfer Learning [pdf]
Yuan Shi, Zhenzhong Lan, Wei Liu, and Wei Bi
ICDM 2009.


CSE 512: Machine Learning (2013 Spring@Stony Brook), taught by Prof. Leman Akoglu
CSE 595: Words & Pictures (2012 Fall@Stony Brook), taught by Prof. Tamara Berg

Last updated October 20th, 2016