Hey! I am a PhD student at Language Technology Institute, Carnegie Mellon University, from fall 2012. I am working with Prof. Abhinav Gupta on visual reasoning. In CMU I have also worked with Prof. Tom Mitchell on joint learning with language and vision. In spring 2014, I did an internship in MSR with Prof. C. Lawrence Zitnick. I also did a recent internship in Prof. William T. Freeman's VisCAM group in Google. Here is my not-so-out-of-date CV.
Previously, 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.
|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(Temp)] [Code(Related)]|
|Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta. Learning Visual Storylines with Skipping Recurrent Neural Networks. The 14th European Conference on Computer Vision, 2016.||[Link] [PDF] [Poster] [Code]|
|Jiwei Li, Xinlei Chen, Eduard Hovy, Dan Jurafsky. Visualizing and Understanding Neural Models in NLP. NAACL-HLT, 2016.||[Link] [PDF] [Code]|
|Xinlei Chen, Abhinav Gupta. Webly Supervised Learning of Convolutional Networks. The 15th International Conference on Computer Vision (ICCV), 2015. Oral Presentation.||[Link] [PDF] [PPTX] [Poster] [Video] [Talk]|
|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 Presentation.||[PDF] [PPTX] [Poster] [Web] [Talk] [Code] [Test Code]|
|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]|