activity
20242026
most citedLDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features

22 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Toward Active Object Detection for UAVs in the Wild: A Large-Scale Dataset, Benchmark and Method

Tianpeng Liu, Xinhua Jiang, Li Liu +4

Object detection is a fundamental component in numerous Unmanned Aerial Vehicle (UAV) applications, yet it has long been plagued by hindrances like occlusion or target pixel scarci…

cs.CV2025

Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues

Chen Chen, Kangcheng Bin, Ting Hu +6

Unmanned aerial vehicles (UAV)-based object detection with visible (RGB) and infrared (IR) images facilitates robust around-the-clock detection, driven by advancements in deep lear…

cs.CV2025★ 7 cited

A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation

Shuzhou Sun, Li Liu, Tianpeng Liu +4

Existing two-stage Scene Graph Generation (SGG) frameworks typically incorporate a detector to extract relationship features and a classifier to categorize these relationships; the…

eess.IV2025

SAR-GTR: Attributed Scattering Information Guided SAR Graph Transformer Recognition Algorithm

Xuying Xiong, Xinyu Zhang, Weidong Jiang +3

Utilizing electromagnetic scattering information for SAR data interpretation is currently a prominent research focus in the SAR interpretation domain. Graph Neural Networks (GNNs)…

eess.IV2024★ 22 cited

LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features

Xuying Xiong, Xinyu Zhang, Weidong Jiang +1

Mainstream DNN-based SAR-ATR methods still face issues such as easy overfitting of a few training data, high computational overhead, and poor interpretability of the black-box mode…