A photonic-assisted approach for instantaneous frequency measurement (IFM) based on a 1×4 Mach–Zehnder interferometer (MZI) structure is proposed and experimentally demonstrated. In this IFM met…
How to identically manage pulse dynamics in passively mode-locked fiber lasers has long been an important yet troublesome issue. Manipulations of bound state of solitons or even more broadly define…
Recent learning-based intrinsic image decomposition methods have achieved remarkable progress. However, they usually require massive ground truth intrinsic images for supervised learning, which lim…
The issue of honesty in constructing confidence sets arises in nonparametric regression. While optimal rate in nonparametric estimation can be achieved and utilized to construct sharp confidence se…
Fiber optofluidic lasers (FOFLs) have attracted considerable research attention in the field of biochemical sensing due to their merits such as high sensitivity, low sample consumption, and real-ti…
We report watt-level mid-IR Dy 3+ - and Er 3+ -doped all-fiber lasers using highly resistant dielectric-coated fiber mirrors. The fiber pigtail mirror is specifically designed for dichroic operatio…
A filter-free photonic method to simultaneously realize radio frequency (RF) image-reject mixing, self-interference cancellation (SIC), and fiber transmission for in-band full-duplex (IBFD) radio-o…
In this article, a multiparameter detection method for torsion and strain based on a single optical fiber sensor (OFS) is demonstrated combined with principal components analysis (PCA). A helical i…
It is quite laborious and costly to manually label LiDAR point cloud data for training high-quality 3D object detectors. This work proposes a weakly supervised framework which allows learning 3D de…
In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first recovering point clouds with disparity estimation…