most citedMS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization

39 citations · 80 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 16 cited

Ground-to-Aerial Person Search: Benchmark Dataset and Approach

Shizhou Zhang, Qingchun Yang, De Cheng +4

In this work, we construct a large-scale dataset for Ground-to-Aerial Person Search, named G2APS, which contains 31,770 images of 260,559 annotated bounding boxes for 2,644 identit…

cs.CV2023★ 2 cited

Pre-train, Adapt and Detect: Multi-Task Adapter Tuning for Camouflaged Object Detection

Yinghui Xing, Dexuan Kong, Shizhou Zhang +4

Camouflaged object detection (COD), aiming to segment camouflaged objects which exhibit similar patterns with the background, is a challenging task. Most existing works are dedicat…

cs.CV2023

Learning multi-domain feature relation for visible and Long-wave Infrared image patch matching

Xiuwei Zhang, Yanping Li, Zhaoshuai Qi +2

Recently, learning-based algorithms have achieved promising performance on cross-spectral image patch matching, which, however, is still far from satisfactory for practical applica…

cs.CV2023★ 39 cited

MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization

Yinghui Xing, Shuo Yang, Song Wang +4

Multispectral pedestrian detection is an important task for many around-the-clock applications, since the visible and thermal modalities can provide complementary information espec…

eess.IV2022★ 23 cited

Pansharpening via Frequency-Aware Fusion Network with Explicit Similarity Constraints

Yinghui Xing, Yan Zhang, Houjun He +2

The process of fusing a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HRMS image is known as panshar…