activity
20192026
most citedDetecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

415 citations · 475 across the 24 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

Dr.Occ: Depth- and Region-Guided 3D Occupancy from Surround-View Cameras for Autonomous Driving

Xubo Zhu, Haoyang Zhang, Fei He +4

3D semantic occupancy prediction is crucial for autonomous driving perception, offering comprehensive geometric scene understanding and semantic recognition. However, existing meth…

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

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.CV2023

Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images

Ruixiang Zhang, Chang Xu, Fang Xu +4

This paper focuses on the scale imbalance problem of semi-supervised object detection(SSOD) in aerial images. Compared to natural images, objects in aerial images show smaller size…

cs.CV2023★ 1 cited

Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection

Chang Xu, Jian Ding, Jinwang Wang +4

Detecting arbitrarily oriented tiny objects poses intense challenges to existing detectors, especially for label assignment. Despite the exploration of adaptive label assignment in…