Tian LanSenior Research Scientist Amazon Go E-mail: tianlan@amazon.com
|
Tian Lan is a senior research scientist at Amazon. Prior to joining Amazon, he was a post-doctoral researcher at Stanford University, working with Prof. Silvio Savarese. He received his Ph.D. in Computer Science from Simon Fraser University in 2013 under the supervision of Prof. Greg Mori. He earned his M.Sc. also from Simon Fraser, in 2010, and his B.Eng. from Huazhong University of Science and Technology, China in 2008. He spent his 2011 summer and 2012 fall as an intern at Disney Research Pittsburgh, where he worked with Dr. Leonid Sigal on sports video understanding and object detection. His Ph.D. thesis on structured visual recognition won the CIPPRS Doctoral Dissertation Award, awarded annually to the top thesis in Canada in the field of computer vision and robotics. |
RESEARCH INTERESTS
I am interested in using computer vision and machine learning to solve real world problems. My research includes object detection, tracking, activity recognition, image retrieval and RGB-D vision. Prior to Amazon, my research focues on developing rich structured representations (e.g. activity hierarchies, structured object queries) and learning algorithms for semantic understanding of visual scenes from static images as well as video sequences. Here is a wordle generated from the titles of my papers. |
Tian Lan*, Yuke Zhu*, Amir R. Zamir, and Silvio Savarese Action Recognition by Hierarchical Mid-level Action Elements International Conference on Computer Vision (ICCV), 2015 |
Tian Lan, Tsung-Chuan Chen, and Silvio Savarese A Hierarchical Representation for Future Action Prediction European Conference on Computer Vision (ECCV), 2014 |
Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, and Greg Mori Learning Action Primitives for Multi-Level Video Event Understanding International Workshop on Visual Surveillance and Re-Identification (at ECCV), 2014 |
Guang-Tong Zhou, Tian Lan, Arash Vahdat, and Greg Mori Latent Maximum Margin Clustering Neural Information Processing Systems (NIPS), 2013 |
Tian Lan, Michalis Raptis, Leonid Sigal, and Greg Mori From Subcategories to Visual Composites: A Multi-Level Framework for Object Detection IEEE International Conference on Computer Vision (ICCV), 2013 |
Tian Lan and Greg Mori A Max-Margin Riffled Independence Model for Image Tag Ranking IEEE Computer Vision and Pattern Recognition (CVPR), 2013 |
Guang-Tong Zhou, Tian Lan, Weilong Yang, and Greg Mori Learning Class-to-Image Distance with Object Matchings IEEE Computer Vision and Pattern Recognition (CVPR), 2013 |
Yuke Zhu, Tian Lan, Yijian Yang, Steven Robinovitch, and Greg Mori Latent Spatio-temporal Models for Action Localization and Recognition in Surveillance Video IAPR International Conference on Machine Vision Applications (MVA), 2013 (oral) |
Mani Ranjbar, Tian Lan, Yang Wang, Stephen Robinovitch and Greg Mori Optimizing Non-Decomposable Loss Functions in Structured Prediction IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2012 |
Tian Lan, Weilong Yang, Yang Wang, and Greg Mori Image Retrieval with Structured Object Queries Using Latent Ranking SVM European Conference on Computer Vision (ECCV), 2012 |
Nataliya Shapovalova, Arash Vahdat, Kevin Cannons, Tian Lan, and Greg Mori Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification European Conference on Computer Vision (ECCV) , 2012 |
Tian Lan, Leonid Sigal, and Greg Mori Social Roles in Hierarchical Models for Human Activity Recognition IEEE Computer Vision and Pattern Recognition (CVPR), 2012 |
Tian Lan, Yang Wang, Weilong Yang, Stephen Robinovitch, and Greg Mori Discriminative Latent Models for Recognizing Contextual Group Activities IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2012 |
Tian Lan, Yang Wang, and Greg Mori Discriminative Figure-Centric Models for Joint Action Localization and Recognition IEEE International Conference on Computer Vision (ICCV), 2011 |
Tian Lan, Yang Wang, Weilong Yang, and Greg Mori Beyond Actions: Discriminative Models for Contextual Group Activities Neural Information Processing Systems (NIPS), 2010 |
Tian Lan, Yang Wang, Greg Mori, and Stephen Robinovitch Retrieving Actions in Group Contexts International Workshop on Sign Gesture Activity (at ECCV), 2010 |
Weilong Yang, Tian Lan, and Greg Mori SFU at TRECVid 2009: Event Detection TRECVID Workshop , 2009 |
Tian Lan, Yangguang Sun, and Mingyue Ding A fast quantum mechanics based contour extraction algorithm SPIE Medical Imaging: Image Processing, 2009. |
Yangguang Sun, Tian Lan, Xiaowei Fu, and Mingyue Ding A statistical approach to contour extraction based on quantum mechanics SPIE Medical Imaging: Image Processing, 2009. |
Tian Lan and Jinlin Zhang FPGA Implementation of an Adaptive Noise Canceller International Symposium on Information Processing (ISIP), 2008. |
Tian Lan From Flat to Hierarchical: Modeling Structures in Visual Recognition Phd thesis, Simon Fraser University, August 2013 |