most citedMLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 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.CV2026

Geometry Meets Semantics: Fractional Gradient Stabilization for Semantic-Driven Bounding Box Optimization in Visual Detection Tasks

Qi Ming, Zheng Zhou, Haitian Yang +4

Bounding boxes are fundamental for object localization in visual detection tasks. Among them, oriented bounding boxes are widely used in visual detection tasks, which provide a mor…

cs.CV2026

FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking

Jinlin You, Muyu Li, Xudong Zhao

Existing single-modal RGB trackers often face performance bottlenecks in complex dynamic scenes, while the introduction of event sensors offers new potential for enhancing tracking…

cs.CV2026

Event-Adaptive State Transition and Gated Fusion for RGB-Event Object Tracking

Jinlin You, Muyu Li, Xudong Zhao

Existing Vision Mamba-based RGB-Event(RGBE) tracking methods suffer from using static state transition matrices, which fail to adapt to variations in event sparsity. This rigidity…

cs.CV2020★ 2 cited

MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

Xiaoman Qi, PanPan Zhu, Yuebin Wang +7

To better understand scene images in the field of remote sensing, multi-label annotation of scene images is necessary. Moreover, to enhance the performance of deep learning models…