activity
20122023
most citedRemote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

5 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20235 cited

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

Xiangrong Zhang, Tianyang Zhang, Guanchun Wang +4

Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep le…

cs.CV20221 cited

Pair-Relationship Modeling for Latent Fingerprint Recognition

Yanming Zhu, Xuefei Yin, Xiuping Jia +1

Latent fingerprints are important for identifying criminal suspects. However, recognizing a latent fingerprint in a collection of reference fingerprints remains a challenge. Most,…

cs.CV2014

A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model

Jinwei Xu, Jiankun Hu, Xiuping Jia

Orientation field, representing the fingerprint ridge structure direction, plays a crucial role in fingerprint-related image processing tasks. Orientation field is able to be const…

cs.CR20143 cited

A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module

Jinwei Xu, Jiankun Hu, Xiuping Jia

Latent fingerprint has the practical value to identify the suspects who have unintentionally left a trace of fingerprint in the crime scenes. However, designing a fully automated l…

math.GM20123 cited

Weak Golbach's Conjecture from Isomorphic and Equivalent Odd Prime Number Functions

Luis A. Mateos

Mathematicians has been trying to prove the weak Goldbach's conjecture by adding prime numbers, as stated in the conjecture. However, we believe that the solution does not need to…

math.GM20123 cited

Dynamical Sieve of Eratosthenes

Luis A. Mateos

In this document, prime numbers are related as functions over time, mimicking the Sieve of Eratosthenes. For this purpose, the mathematical representation is a uni-dimentional time…