Wei Liu (original) (raw)

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

News

October 2016: Our ILSVRC team is awarded the PAMI Mark Everingham Prize, in remember of Dr. Mark Everingham.
September 2016: One paper "Fast Single Shot Detection and Pose Estimation" is accepted to 3DV 2016.
May 2016: I will organize ILSVRC2016. Stay tuned.
March 2016: Won the 2016 Google PhD Fellowship in Machine Perception. Thank you Google!
December 2015: ILSVRC2015 results announced.
December 2015: Won travel award for the Doctoral Consortium at ICCV 2015, mentored by Cordelia Schmid.
December 2015: One paper "SSD: Single Shot MultiBox Detector" is submitted to arXiv.
June 2015: One paper "ParseNet: Looking Wider to See Better" is submitted to arXiv.
March 2015: One paper "Predicting Entry-Level Categories" is submitted to IJCV Marr Prize special issue.
December 2014: I will organize ILSVRC2015. Stay tuned.
November 2014: One paper "Refer-to-as Relations as Semantic Knowledge" is accepted to AAAI 2015.
August 2014: Our team GoogLeNet won the classification and detection challenge in ILSVRC2014 during my 2014 summer internship at Google.
I am the main contributor to the detection task. [Google Research Blog, New York Times, UNC News]

PUBLICATIONS

	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.