Vehicle Re-Identification (ReID) is of great significance for public security and intelligent transportation. Large and comprehensive datasets are crucial for the development of vehicle ReID in mod…
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation from a monocular RGB image. Our model takes estimated 2D pose as the input and learns a generalized 2D-3D …
In this paper, we propose a novel deep Efficient Relational Sentence Ordering Network (referred to as ERSON) by leveraging pre-trained language model in both encoder and decoder architectures to st…
Nonnegative matrix factorization arises widely in machine learning and data analysis. In this paper, for a given factorization of rank r , we consider the sparse stochastic matrix factorization (SS…
Problem definition: We study how algorithmic (versus human-based) task assignment processes change task recipients’ fairness perceptions and productivity. Academic/practical relevance: Since algo…
This article studies inference for the average treatment effect in randomized controlled trials where treatment status is determined according to a “matched pairs” design. By a “matched pairs…
We present a compact mixed integer program (MIP) for the backhaul profit maximization problem in which a freight carrier seeks to generate profit from an empty delivery vehicle’s backhaul trip fr…
We propose and experimentally demonstrate a slit beam shaping method for femtosecond laser Point-by-Point (PbP) inscription of highly localized Fiber Bragg Gratings (FBGs). The influence of slit wi…
In this paper, a vertical stacked near-infrared (NIR) and extended short wavelength infrared (eSWIR) dual-band detector based on InGaAs and In 0.53 Ga 0.47 As/GaAs 0.5 Sb 0.5 type-II superlattice (…
Aiming to reduce the complexity of Φ-OTDR system introduced by traditional distributed optical amplification technology in the pursuit of long-distance sensing, a novel detection range enhancement…