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20212026
most citedOptimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss

124 citations · 137 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Bridging Severe Cross-Modal Misalignment: End-to-End Visible-Infrared Object Detection via Explicit Feature-Domain Affine Registration

Qi Ming, Yuyang Wang, Mingjing Zhao +7

Visible-infrared object detection relies on complementary RGB and thermal cues, but its performance is often degraded by cross-modal spatial misalignment. Most existing methods rel…

cs.CV2025

Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image Fusion

Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou +2

Infrared and visible image fusion plays a critical role in enhancing scene perception by combining complementary information from different modalities. Despite recent advances, ach…

cs.CV2025

CoCAViT: Compact Vision Transformer with Robust Global Coordination

Xuyang Wang, Lingjuan Miao, Zhiqiang Zhou

In recent years, large-scale visual backbones have demonstrated remarkable capabilities in learning general-purpose features from images via extensive pre-training. Concurrently, m…

cs.CV2024

Semantic Object-level Modeling for Robust Visual Camera Relocalization

Yifan Zhu, Lingjuan Miao, Haitao Wu +3

Visual relocalization is crucial for autonomous visual localization and navigation of mobile robotics. Due to the improvement of CNN-based object detection algorithm, the robustnes…

cs.CV2024★ 5 cited

Infrared and Visible Image Fusion with Language-Driven Loss in CLIP Embedding Space

Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou +2

Infrared-visible image fusion (IVIF) has attracted much attention owing to the highly-complementary properties of the two image modalities. Due to the lack of ground-truth fused im…

cs.CV2021★ 8 cited

Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery

Qi Ming, Junjie Song, Zhiqiang Zhou

Oriented object detection in remote sensing images has made great progress in recent years. However, most of the current methods only focus on detecting targets, and cannot disting…