activity
20192024
most citedVehicle Re-identification in Aerial Imagery: Dataset and Approach

14 citations · 18 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20241 cited

Frequency-Guided Spatial Adaptation for Camouflaged Object Detection

Shizhou Zhang, Dexuan Kong, Yinghui Xing +5

Camouflaged object detection (COD) aims to segment camouflaged objects which exhibit very similar patterns with the surrounding environment. Recent research works have shown that e…

cs.CV2024

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

Shizhou Zhang, Wenlong Luo, De Cheng +4

In this paper, we construct a large-scale benchmark dataset for Ground-to-Aerial Video-based person Re-Identification, named G2A-VReID, which comprises 185,907 images and 5,576 tra…

cs.CV20222 cited

Generalizable Person Re-Identification via Viewpoint Alignment and Fusion

Bingliang Jiao, Lingqiao Liu, Liying Gao +5

In the current person Re-identification (ReID) methods, most domain generalization works focus on dealing with style differences between domains while largely ignoring unpredictabl…

cs.CV20211 cited

Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network

Guoqiang Liang, Yanbing Lv, Shucheng Li +2

With the explosive growth of video data, video summarization, which attempts to seek the minimum subset of frames while still conveying the main story, has become one of the hottes…

cs.CV2019

Person Re-identification in Aerial Imagery

Shizhou Zhang, Qi Zhang, Yifei Yang +4

Nowadays, with the rapid development of consumer Unmanned Aerial Vehicles (UAVs), visual surveillance by utilizing the UAV platform has been very attractive. Most of the research w…

cs.CV201914 cited

Vehicle Re-identification in Aerial Imagery: Dataset and Approach

Peng Wang, Bingliang Jiao, Lu Yang +4

In this work, we construct a large-scale dataset for vehicle re-identification (ReID), which contains 137k images of 13k vehicle instances captured by UAV-mounted cameras. To our k…