6 citations · 20 across the 11 of their papers we have counts for
11 papers
A Dual-Branch Framework for Semantic Change Detection with Boundary and Temporal Awareness
Yun-Cheng Li, Sen Lei, Heng-Chao Li +1
Semantic Change Detection (SCD) aims to detect and categorize land-cover changes from bi-temporal remote sensing images. Existing methods often suffer from blurred boundaries and i…
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
Yitao Zhao, Sen Lei, Nanqing Liu +3
As an essential procedure in earth observation system, change detection (CD) aims to reveal the spatial-temporal evolution of the observation regions. A key prerequisite for existi…
RCCFormer: A Robust Crowd Counting Network Based on Transformer
Peng Liu, Heng-Chao Li, Sen Lei +3
Crowd counting, which is a key computer vision task, has emerged as a fundamental technology in crowd analysis and public safety management. However, challenges such as scale varia…
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Peng Liu, Sen Lei, Heng-Chao Li
Multicategory remote object counting is a fundamental task in computer vision, aimed at accurately estimating the number of objects of various categories in remote images. Existing…
Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation
Sen Lei, Xinyu Xiao, Tianlin Zhang +3
Given a language expression, referring remote sensing image segmentation (RRSIS) aims to identify ground objects and assign pixel-wise labels within the imagery. The one of key cha…
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu, Xun Xu, Yongyi Su +2
Segment Anything Model (SAM) is an advanced foundational model for image segmentation, which is gradually being applied to remote sensing images (RSIs). Due to the domain gap betwe…
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao, Turgay Celik, Nanqing Liu +2
In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent ful…
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space
Hui Ma, Sen Lei, Turgay Celik +1
Facial Expression Recognition (FER) plays a pivotal role in understanding human emotional cues. However, traditional FER methods based on visual information have some limitations,…
Toward distortion-aware change detection in realistic scenarios
Yitao Zhao, Heng-Chao Li, Nanqing Liu +1
In the conventional change detection (CD) pipeline, two manually registered and labeled remote sensing datasets serve as the input of the model for training and prediction. However…
CLIP-Guided Source-Free Object Detection in Aerial Images
Nanqing Liu, Xun Xu, Yongyi Su +3
Domain adaptation is crucial in aerial imagery, as the visual representation of these images can significantly vary based on factors such as geographic location, time, and weather…
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images
Nanqing Liu, Xun Xu, Yingjie Gao +1
Annotating remote sensing images (RSIs) presents a notable challenge due to its labor-intensive nature. Semi-supervised object detection (SSOD) methods tackle this issue by generat…