1 code implementation • 17 Aug 2021 • Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin
To improve the generality of the objective activation maps, we propose a region prototypical network RPNet to explore the cross-image object diversity of the training set.
no code implementations • CVPR 2018 • Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan
Then, the proposed Cascaded Refinement Network(CRN) takes the coarse segmentation as guidance to generate an accurate segmentation of full resolution.
no code implementations • CVPR 2018 • Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang
Typical person re-identification (ReID) methods usually describe each pedestrian with a single feature vector and match them in a task-specific metric space.
1 code implementation • CVPR 2018 • Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan
We propose a novel approach for cost-adjustable inference in CNNs - Stochastic Downsampling Point (SDPoint).
no code implementations • 17 Dec 2016 • Xiangfei Kong, Lin Yang
Ring artifacts problems are addressed and a kernel propagation strategy is proposed to speedup the algorithm and deals with the high non-uniformity of the blur kernels on muscle images.
1 code implementation • 17 Nov 2016 • Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan
Deluge Networks (DelugeNets) are deep neural networks which efficiently facilitate massive cross-layer information inflows from preceding layers to succeeding layers.