1.2k citations · 1.2k across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 3 cited
Direct Object Recognition Without Line-of-Sight Using Optical Coherence
Xin Lei, Liangyu He, Yixuan Tan +5
Visual object recognition under situations in which the direct line-of-sight is blocked, such as when it is occluded around the corner, is of practical importance in a wide range o…
eess.IV2019★ 1 cited
Imaging-free object recognition enabled by optical coherence
Yixuan Tan, Xin Lei, Xingze Wang +2
Visual object recognition is one of the most important perception functions for a wide range of intelligent machines. A conventional recognition process begins with forming a clear…
physics.optics2017★ 1.2k cited
Training deep neural networks for the inverse design of nanophotonic structures
Dianjing Liu, Yixuan Tan, Erfan Khoram +1
Data inconsistency leads to a slow training process when deep neural networks are used for the inverse design of photonic devices, an issue that arises from the fundamental propert…