Dong Zhang, PhD
- Computer Vision (Image/Video Segmentation, Object Detection, Human Pose Estimation, Structure from Motion, Scene Understanding)
- Machine Learning (Deep Learning)
H Idrees, M Tayyab, K Athrey, Dong Zhang, S Al-Maadeed, N Rajpoot, “Composition loss for counting, density map estimation and localization in dense crowds”, European Conference on Computer Vision (ECCV), Munich, Germany, Sep. 8-14, 2018. PDF
R LaLonde, Dong Zhang, M Shah, “ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information”, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, June 18-22, 2018 PDF
Amir Mazaher, Dong Zhang and Mubarak Shah, “Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions”, ICCV, 2017. PDF
Waqas Sultani, Dong Zhang and Mubarak Shah, “Unsupervised Action Proposal Ranking through Proposal Recombination”, Computer Vision and Image Understanding (CVIU), 2017. PDF
Dong Zhang, Ziyan Wu, Shanhui Sun, Bor-Jeng Chen, and Terrence Chen, “Vessel Tree Tracking in Angiographic Sequences”, Journal of Medical Imaging, 2017. Link
Bor-Jeng Chen, Ziyan Wu, Shanhui Sun, Dong Zhang and Terrence Chen, “Guidewire Tracking Using a Novel Sequential Segment Optimization Method in Interventional X-Ray Videos”, ISBI, 2016. Link
Dong Zhang, and Mubarak Shah, “Human Pose Estimation in Videos”, ICCV, 2015. PDF
Dong Zhang, Omar Javed and Mubarak Shah, “Video Object Co-Segmentation by Regulated Maximum Weight Cliques”, ECCV, 2014. PDF
Dong Zhang, Omar Javed and Mubarak Shah, “Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions”, CVPR, 2013. ( Oral, Acceptance rate = 3.2%) PDF
Dong Zhang, Omar Oreifej and Mubarak Shah, “Face Verification Using Boosted Cross-Image Features”, Technical Report, September 2013. PDF
Dong Zhang and Ping Li, “Visual Odometry in Dynamical Scenes.”, Sensors and Transducers (1726-5479), 147(12), 2012.
Dong Zhang and Ping Li. “Motion Detection for Rapidly Moving Cameras in Fully 3D Scenes.”, IEEE Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT), 2010.