activity
20142023
most citedFourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

138 citations · 334 across the 21 of their papers we have counts for

collaborators

21 papers

cs.SI2023

Marriage Matching-based Instant Parking Spot Sharing in Internet of Vehicles

Zhonghai Zhao, Yang Xu, Jia Liu +3

The rapid development and integration of automotive manufacturing, sensor, and communication technologies have facilitated the emergence of the Internet of Vehicles (IoV). However,…

physics.bio-ph2023★ 27 cited

Semantic Segmentation of Anomalous Diffusion Using Deep Convolutional Networks

Xiang Qu, Yi Hu, Wenjie Cai +4

Heterogeneous dynamics commonly emerges in anomalous diffusion with intermittent transitions of diffusion states but proves challenging to identify using conventional statistical m…

cs.CV2022★ 3 cited

ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection

Chongyu Sun, Yang Xu, Zebin Wu +1

This paper proposes a Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection named ReAFFPN. ReAFFPN aims at improving the effect of rotation-equ…

cs.CV2022

Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis

Jia Li, Ziyang Zhang, Junjie Lang +9

In this paper, we present our solutions for the Multimodal Sentiment Analysis Challenge (MuSe) 2022, which includes MuSe-Humor, MuSe-Reaction and MuSe-Stress Sub-challenges. The Mu…

cs.CV2021

Nonlinear Intensity Underwater Sonar Image Matching Method Based on Phase Information and Deep Convolution Features

Xiaoteng Zhou, Changli Yu, Xin Yuan +2

In the field of deep-sea exploration, sonar is presently the only efficient long-distance sensing device. The complicated underwater environment, such as noise interference, low ta…

cs.LG2021★ 1 cited

Breaking the curse of dimensionality with Isolation Kernel

Kai Ming Ting, Takashi Washio, Ye Zhu +1

The curse of dimensionality has been studied in different aspects. However, breaking the curse has been elusive. We show for the first time that it is possible to break the curse u…