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2010 – 2019
- 2018
[i3]Pengchong Jin, Vivek Rathod, Xiangxin Zhu:
Pooling Pyramid Network for Object Detection. CoRR abs/1807.03284 (2018)- 2017
- [c4]Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C.-C. Jay Kuo:
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection. BMVC 2017 - [i2]Siyang Li, Xiangxin Zhu, Qin Huang, Hao Xu, C.-C. Jay Kuo:
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection. CoRR abs/1711.09191 (2017) - 2016
- [j2]Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes
, Deva Ramanan:
Do We Need More Training Data? Int. J. Comput. Vis. 119(1): 76-92 (2016) - 2015
- [i1]Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan:
Do We Need More Training Data? CoRR abs/1503.01508 (2015) - 2014
- [b1]Xiangxin Zhu:
Sharing information across object templates. University of California, Irvine, USA, 2014 - [c3]Xiangxin Zhu, Dragomir Anguelov, Deva Ramanan:
Capturing Long-Tail Distributions of Object Subcategories. CVPR 2014: 915-922 - 2012
- [j1]Xiangxin Zhu, Max Welling, Fang Jin, John S. Lowengrub:
Predicting simulation parameters of biological systems using a Gaussian process model. Stat. Anal. Data Min. 5(6): 509-522 (2012) - [c2]Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes:
Do We Need More Training Data or Better Models for Object Detection?. BMVC 2012: 1-11 - [c1]Xiangxin Zhu, Deva Ramanan:
Face detection, pose estimation, and landmark localization in the wild. CVPR 2012: 2879-2886
Coauthor Index
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