26 citations · 48 across the 4 of their papers we have counts for
Showing 2018Show all
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cs.CV2018
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
How to obtain the desirable representation of a 3D shape, which is discriminative across categories and polymerized within classes, is a significant challenge in 3D shape retrieval…
cs.CV2018
Learning Discriminative 3D Shape Representations by View Discerning Networks
Biao Leng, Cheng Zhang, Xiaocheng Zhou +2
In view-based 3D shape recognition, extracting discriminative visual representation of 3D shapes from projected images is considered the core problem. Projections with low discrimi…
cs.CV2018
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
Guanglu Song, Yu Liu, Ming Jiang +3
Fully convolutional neural network (FCN) has been dominating the game of face detection task for a few years with its congenital capability of sliding-window-searching with shared…