Yu Xiang's homepage

Biography

I am a Postdoctoral Researcher in Computer Science & Engineering at the University of Washington, Seattle. My advisor is Prof. Dieter Fox. My research focuses on understanding objects and scenes from images and videos, with emphasis on recognizing both semantic and 3D geometric properties of objects and scenes. My current work attempts to develop 3D representation and recognition methods for objects and scenes which can be useful for real world applications. I received Ph.D. in computer vision from the University of Michigan at Ann Arbor in 2016 advised by Prof. Silvio Savarese, M.S. degree in computer science from Fudan University in 2010 advised by Prof. Xiangdong Zhou, and B.S. degree in computer science from Fudan University in 2007. (CV)

News

  • 10/28/2016 We organized the 3D Object Geometry from Single Image tutorial at 3DV 2016.
  • 7/19/2016 Two papers related to 3D object recognition are accepted to ECCV 2016!
  • 6/10/2016 I am joining Prof. Dieter Fox's group as a postdoc in August!
  • 3/6/2016 Our work on deep metric learning is accepted to CVPR 2016!
  • 2/1/2016 I started as a Postdoctoral Researcher at Stanford University.
  • 12/4/2015 I successfully defended my doctoral thesis!
  • 9/4/2015 Call for papers: 5th Workshop on 3D Representation and Recognition (3dRR-15) in ICCV 2015
  • 8/29/2015 Our work on multi-object tracking with MDP is accepted to ICCV 2015 as oral presentation!
  • 6/22/2015 I started a 3-month internship at NEC Labs America in Cupertino.
  • 3/8/2015 Two papers accepted in CVPR 2015! 3DVP is accepted as oral presentation!
  • 1/23/2015 Finish my thesis proposal: 3D Object Representations for Recognition.
  • 6/15/2014 Our work on multiview object tracking is accepted to ECCV 2014!
  • 5/18/2014 PASCAL3D+ version 1.1 is available now! Check it out to see how it can benefit your research!
  • 5/5/2014 I started a 3-month internship at NEC Labs America in Cupertino.
  • 2/15/2014 Our PASCAL3D+ benchmark (version 1.0) is released!
  • 1/30/2014 Our work on building a large scale dataset for 3D object detection and pose estimation is accepted to WACV 2014!
  • 10/5/2013 Our paper is accepted to the 3dRR workshop in conjunction with ICCV 2013.
  • 9/1/2013 I moved to Stanford as a visiting student.
  • Our paper has been accepted to the ECCV 2012 conference.
  • I received the Outstanding Master's Thesis Award of Shanghai.
  • Our CVPR 2012 paper and code are available!

Publications

2016

Anticipating Accidents in Dashcam Videos
Fu-Hsiang Chan, Yu-Ting Chen, Yu Xiang, Min Sun
In Asian Conference on Computer Vision (ACCV), 2016.
PDF, Bibtex, Project (Oral)
ObjectNet3D: A Large Scale Database for 3D Object Recognition
Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas and Silvio Savarese
In European Conference on Computer Vision (ECCV), 2016.
PDF, Bibtex, Technical_Report, ObjectNet3D (Spotlight Oral)
Pose Estimation Errors, the Ultimate Diagnosis
Carolina Redondo-Cabrera, Roberto López-Sastre, Yu Xiang, Tinne Tuytelaars and Silvio Savarese
In European Conference on Computer Vision (ECCV), 2016.
PDF, Bibtex, Code
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
Yu Xiang, Wongun Choi, Yuanqing Lin and Silvio Savarese
arXiv:1604.04693, 2016.
arXiv, Bibtex, KITTI_Results
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song, Yu Xiang, Stefanie Jegelka and Silvio Savarese
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
arXiv, PDF, Bibtex, Technical_Report, Code, Project (Spotlight Oral)

2015

Learning to Track: Online Multi-Object Tracking by Decision Making
Yu Xiang, Alexandre Alahi and Silvio Savarese
In International Conference on Computer Vision (ICCV), pp. 4705-4713, 2015.
PDF, Bibtex, Technical_Report, Poster, Slides, MOT_Results, KITTI_Results, Code, Project (Oral)
Data-Driven 3D Voxel Patterns for Object Category Recognition
Yu Xiang, Wongun Choi, Yuanqing Lin and Silvio Savarese
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1903-1911, 2015.
PDF, Bibtex, Technical_Report, Poster, Slides, KITTI_Results, Code, Project (Oral)
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition
Roozbeh Mottaghi, Yu Xiang and Silvio Savarese
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 418-426, 2015.
PDF, Bibtex, Technical_Report, Poster, Project

2014

Monocular Multiview Object Tracking with 3D Aspect Parts
Yu Xiang*, Changkyu Song*, Roozbeh Mottaghi and Silvio Savarese (*equal contribution)
In European Conference on Computer Vision (ECCV), pp. 220-235, 2014.
PDF, Bibtex, Technical_Report, Poster, Slides, Code, Project
Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild
Yu Xiang, Roozbeh Mottaghi and Silvio Savarese
In IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 75-82, 2014.
PDF, Bibtex, Poster, Slides, PASCAL3D+

2013

Object Detection by 3D Aspectlets and Occlusion Reasoning
Yu Xiang and Silvio Savarese
In the 4th International IEEE Workshop on 3D Representation and Recognition in ICCV (3dRR), pp. 530-537, 2013.
PDF, Bibtex, Technical_Report, Slides, Code, Project

2012

Object Co-detection
Sid Yingze Bao, Yu Xiang and Silvio Savarese
In European Conference on Computer Vision (ECCV), vol. 7572, pp. 86-101, 2012.
PDF, Bibtex, Poster, Slides, Project
Estimating the Aspect Layout of Object Categories
Yu Xiang and Silvio Savarese
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3410-3417, 2012.
PDF, Bibtex, Technical Report, Poster, Slides, Code, Project

2010

Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-Seng Chua and Chong-Wah Ngo
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3368-3375, 2010.
PDF, Bibtex, Technical Report
Learning Contextual Metrics for Automatic Image Annotation
Zuotao Liu, Xiangdong Zhou, Yu Xiang and Yan-Tao Zheng
In Advances in Multimedia Information Processing - PCM, vol. 6297, pp. 124-135, 2010.
PDF, Bibtex

2009

A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Yu Xiang, Xiangdong Zhou, Tat-Seng Chua and Chong-Wah Ngo
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1153-1160, 2009.
PDF, Bibtex
Adaptive Model for Web Image Semantic Automatic Image Annotation
Hongtao Xu, Xiangdong Zhou, Yu Xiang and Baile Shi
In Journal of Software (in Chinese), vol. 21, no. 9, pp. 2183-2195, 2009.
PDF, Bibtex
Exploiting Flickr's Related Tags for Semantic Annotation of Web Images
Hongtao Xu, Xiangdong Zhou, Mei Wang, Yu Xiang and Baile Shi
In Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR), no. 46, 2009.
PDF, Bibtex
Automatic Web Image Annotation via Web-Scale Image Semantic Space Learning
Hongtao Xu, Xiangdong Zhou, Lan Lin, Yu Xiang and Baile Shi
In Advances in Data and Web Management, vol. 5446, pp. 211-222, 2009.
PDF, Bibtex

PhD Thesis

Master Thesis

Talks

  • 3D Object Recognition (PDF)
    In the International Conference on 3D Vision, Stanford University, 10/28/2016.

  • 3D Object Representations for Recognition (PDF)
    VASC Seminar, CMU, 3/28/2016; University of Toronto, 4/4/2016; MIT, 4/12/2016; UC Berkeley, 4/21/2016; UIUC, 5/5/2016; University of Washington, 5/31/2016.

  • 3D Object Detection and Pose Estimation (PDF)
    In the 1st International Workshop on Recovering 6D Object Pose in conjunction with ICCV, Santiago, Chile, 12/17/2015.

  • Learning to Track: Online Multi-Object Tracking by Decision Making (PDF)
    In International Conference on Computer Vision, Santiago, Chile, 12/16/2015.

  • Data-Driven 3D Voxel Patterns for Object Category Recognition (PDF)
    In IEEE Conference on Computer Vision and Pattern Recognition, Boston, Massachusetts, 06/08/2015.

  • Monocular Multiview Object Tracking with 3D Aspect Parts (PDF)
    In the 1st Stanford-SNU Workshop on Automated Driving, Stanford University, 02/24/2015.

  • Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild (PDF)
    In IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, Colorado, 03/24/2014.

  • Object Detection by 3D Aspectlets and Occlusion Reasoning (PDF)
    In the 4th International IEEE Workshop on 3D Representation and Recognition in conjunction with ICCV, Sydney, Australia, 12/08/2013.

  • Estimating the Aspect Layout of Object Categories (PDF)
    In Midwest Vision Workshop, University of Illinois at Urbana-Champaign, 09/21/2012.

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