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20222026
most citedMotion Robust High-Speed Light-Weighted Object Detection With Event Camera

53 citations · 62 across the 13 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024★ 1 cited

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning

Chang Xu, Ruixiang Zhang, Wen Yang +4

Detecting oriented tiny objects, which are limited in appearance information yet prevalent in real-world applications, remains an intricate and under-explored problem. To address t…

cs.CV2024★ 1 cited

Tiny Object Detection with Single Point Supervision

Haoran Zhu, Chang Xu, Ruixiang Zhang +4

Tiny objects, with their limited spatial resolution, often resemble point-like distributions. As a result, bounding box prediction using point-level supervision emerges as a natura…

cs.CV2024★ 1 cited

Frequency-Adaptive Low-Latency Object Detection Using Events and Frames

Haitian Zhang, Xiangyuan Wang, Chang Xu +5

Fusing Events and RGB images for object detection leverages the robustness of Event cameras in adverse environments and the rich semantic information provided by RGB cameras. Howev…

cs.CV2024

Unsupervised Multi-view UAV Image Geo-localization via Iterative Rendering

Haoyuan Li, Chang Xu, Wen Yang +3

Unmanned Aerial Vehicle (UAV) Cross-View Geo-Localization (CVGL) presents significant challenges due to the view discrepancy between oblique UAV images and overhead satellite image…

cs.CV2024

Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping

Haoran Zhu, Yifan Zhou, Chang Xu +2

Fine-Grained Object Detection (FGOD) is a critical task in high-resolution aerial image analysis. This letter introduces Orthogonal Mapping (OM), a simple yet effective method aime…

cs.CV2024

Detecting Every Object from Events

Haitian Zhang, Chang Xu, Xinya Wang +4

Object detection is critical in autonomous driving, and it is more practical yet challenging to localize objects of unknown categories: an endeavour known as Class-Agnostic Object…

cs.CV2024

Learning Cross-view Visual Geo-localization without Ground Truth

Haoyuan Li, Chang Xu, Wen Yang +2

Cross-View Geo-Localization (CVGL) involves determining the geographical location of a query image by matching it with a corresponding GPS-tagged reference image. Current state-of-…

cs.CV2024

ConGeo: Robust Cross-view Geo-localization across Ground View Variations

Li Mi, Chang Xu, Javiera Castillo-Navarro +4

Cross-view geo-localization aims at localizing a ground-level query image by matching it to its corresponding geo-referenced aerial view. In real-world scenarios, the task requires…

cs.CV2024★ 5 cited

Robust Tiny Object Detection in Aerial Images amidst Label Noise

Haoran Zhu, Chang Xu, Wen Yang +3

Precise detection of tiny objects in remote sensing imagery remains a significant challenge due to their limited visual information and frequent occurrence within scenes. This chal…