output
20192025
most citedSolving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem

24 citations

5 papers

quant-ph2025

Bargmann invariants of Gaussian states

Jianwei Xu

Given a set of ordered quantum states, described by density operators , the Bargmann invariant of is defined as tr(…

quant-ph2024

Hermitian Kirkwood-Dirac real operators for discrete Fourier transformations

Jianwei Xu

The Kirkwood-Dirac (KD) distribution is a quantum state representation that relies on two chosen fixed orthonormal bases, or alternatively, on the transition matrix of these two ba…

cs.CV2024★ 16 cited

AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation

Ran Lingyan, Wen Dongcheng, Zhuo Tao +3

Change Detection (CD) is an essential field in remote sensing, with a primary focus on identifying areas of change in bi-temporal image pairs captured at varying intervals of the s…

cs.CV2023

ReBaR: Reference-Based Reasoning for Robust Pose Estimation from Monocular Images

Yongkang Cheng, Mingjiang Liang, Jifeng Ning +3

R}easoning for Robust Human Pose and Shape Estimation), designed to estimate human body shape and pose from single-view images. ReBaR effectively addresses the challenges of occlus…

cs.LG2019★ 24 cited

Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem

Zhengxuan Ling, Xinyu Tao, Yu Zhang +1

In the new wave of artificial intelligence, deep learning is impacting various industries. As a closely related area, optimization algorithms greatly contribute to the development…