Recent Papers
[1]Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro, Improving Semantic Segmentation via Video Propagation and Label Relaxation, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 [ORAL] [pdf]
[2]Yi Zhu, Xueqing Deng and Shawn Newsam, Fine-grained Land Use classification at the city scale using ground-level images, IEEE Transactions on Multimedia, 2019 [pdf]
[3]Yi Zhu, Zhenzhong Lan, Shawn Newsam and Alexander G Hauptmann, Hidden Two-Stream Convolutional Networks for Action Recognition, Asian Conference on Computer Vision (ACCV) 2018 [pdf]
[4]Yi Zhu and Shawn Newsam, Random Temporal Skipping for Multirate Video Analysis, Asian Conference on Computer Vision (ACCV) 2018 [pdf]
[5]Yi Zhu, Jia Xue and Shawn Newsam, Gated Transfer Network for Transfer Learning, Asian Conference on Computer Vision (ACCV) 2018 [pdf]
[6]Xueqing Deng, Yi Zhu and Shawn Newsam, What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS) 2018 [ORAL] [pdf]
[7]Yi Zhu, Yang Long, Yu Guan, Shawn Newsam and Ling Shao, Towards Universal Representation for Unseen Action Recognition, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 [pdf]
[8] Yi Zhu and Shawn Newsam, Large-Scale Human Activity Mapping using Geo-Tagged Videos, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS) 2017 [pdf]
[9] Xueqing Deng and Shawn Newsam, Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use, ACM SIGSPATIAL workshop on Urban GIS 2017 [pdf]
[10] Weixun Zhou, Shawn Newsam, Congmin Li and Zhenfeng Shao, Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval, Remote Sensing, 2017 [pdf]
[11] Yi Zhu, Zhenzhong Lan, Shawn Newsam, Alexander G. Hauptmann, Hidden Two-Stream Convolutional Networks for Action Recognition, arXiv 2017, [pdf]
Selected Papers
-
-
Action Recognition
-
-
-
Optical Flow
-
-
-
Land Use Classification Using Ground-Level Image
-
-
-
Crowdsourcing What-Is-Where
-
-
-
Geographic Image Retrieval
-
-
High-Resolution Overhead Imagery Classification