Hey! I am a Research Scientist at Facebook AI Research, Menlo Park.

I was a PhD student at Language Technology Institute, Carnegie Mellon University, from September 2012 to Feburary 2018, working mainly with Prof. Abhinav Gupta on computer vision, computational linguistics and the combination of both. Durthing the time at CMU, I had also worked with Prof. Tom Mitchell. In spring 2014, I did an internship in MSR with Prof. C. Lawrence Zitnick. Then in summer 2016 I did an internship in Prof. William T. Freeman's VisCAM group at Google. Before graduation, I also spent time at Google Cloud AI team working with Dr. Jia Li and Prof. Fei-Fei Li.

I graduated with a bachelor's degree in computer science from Zhejiang University, China. During my undergraduate study, I was mainly under the supervision of Prof. Deng Cai in the State Key Laboratory of CAD & CG. I was a summer intern at UCLA in 2011, mainly work with Prof. Jenn Wortman Vaughan. Here is my not-so-out-of-date CV.

Contact Info

  • E-mail: na xinleic na [at] fb [dot] com
  • Google Scholar: hit here
  • Github: hit here

Publications

Recent Papers/Reports

Teaser Title Links
Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta. Iterative Visual Reasoning Beyond Convolutions. The 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Spotlight. [Link] [PDF] [Code]
Xinlei Chen. Visual Knowledge Learning. Doctoral Dissertation, CMU-LTI-18-001. [PDF] [Slides]
Xinlei Chen, Abhinav Gupta. Spatial Memory for Context Reasoning in Object Detection. The 15th International Conference on Computer Vision (ICCV), 2017. [Link] [PDF]
Xinlei Chen, Abhinav Gupta. An Implementation of Faster RCNN with Study for Region Sampling. Arxiv, 2017. [Link] [Code]
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta, Deva Ramanan. PixelNet: Representation of the pixels, by the pixels, and for the pixels. Arxiv, 2017. [Link] [Project] [Code] [Code(Old)]
Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta. Learning Visual Storylines with Skipping Recurrent Neural Networks. The 14th European Conference on Computer Vision (ECCV), 2016. [Link] [PDF] [Poster] [Code]
Jiwei Li, Xinlei Chen, Eduard Hovy, Dan Jurafsky. Visualizing and Understanding Neural Models in NLP. Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016. [Link] [PDF] [Code]
Xinlei Chen, Abhinav Gupta. Webly Supervised Learning of Convolutional Networks. The 15th International Conference on Computer Vision (ICCV), 2015. Oral. [Link] [PDF] [Slides] [Poster] [Video] [Talk] [Code] [Project]
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollar, C. Lawrence Zitnick. Microsoft COCO Captions: Data Collection and Evaluation Server. Arxiv Preprint, 2015. [Link] [Code]
Xinlei Chen, C. Lawrence Zitnick. Mind's Eye: A Recurrent Visual Representation for Image Caption Generation. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [PDF] [Poster]
Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom Mitchell. Sense Discovery via Co-Clustering on Images and Text. The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [PDF] [Poster] [Project]
Tom M. Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapa Nakashole, Emmanouil Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcom Greaves and Joel Welling. Never-Ending Learning. The 29th AAAI Conference on Artificial Intelligence (AAAI), 2015. [PDF]
Elissa M. Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael Tarr. Applying artificial vision models to human scene understanding. Frontiers in Computational Neuroscience, 2015. [PDF]
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta. Enriching Visual Knowledge Bases via Object Discovery and Segmentation. The 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [PDF][Poster][Project][Code]
Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta. NEIL: Extracting Visual Knowledge from Web Data. The 14th International Conference on Computer Vision (ICCV), 2013. Oral. [PDF] [Slides] [Poster] [Web] [Talk] [Code] [Test Code]

Previous Papers

Teaser Title Links
Xinlei Chen, Deng Cai. Large Scale Spectral Clustering with Landmark-based Representation. The 26th AAAI Conference on Artificial Intelligence (AAAI), 2011. [PDF][Code]
Jiajun Lv, Xinlei Chen, Jin Huang, Hujun Bao. Semi-supervised Mesh Segmentation and Labeling. The 20th Pacific Conference on Computer Graphics and Applications (PG), 2012. [PDF][Project]