activity
20182025
most citedStagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images

172 citations · 194 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2025

RS2-SAM2: Customized SAM2 for Referring Remote Sensing Image Segmentation

Fu Rong, Meng Lan, Qian Zhang +1

Referring Remote Sensing Image Segmentation (RRSIS) aims to segment target objects in remote sensing (RS) images based on textual descriptions. Although Segment Anything Model 2 (S…

cs.CV2025

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation

Fu Rong, Meng Lan, Qian Zhang +1

Referring video object segmentation (RVOS) aims to segment objects in a video according to textual descriptions, which requires the integration of multimodal information and tempor…

cs.CV2023

Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation

Meng Lan, Fu Rong, Zuchao Li +2

Referring video object segmentation (RVOS) aims to segment the target object in a video sequence described by a language expression. Typical multimodal Transformer based RVOS appro…

cs.CV2022

Learning to Learn Better for Video Object Segmentation

Meng Lan, Jing Zhang, Lefei Zhang +1

Recently, the joint learning framework (JOINT) integrates matching based transductive reasoning and online inductive learning to achieve accurate and robust semi-supervised video o…

cs.CV2021

Siamese Network with Interactive Transformer for Video Object Segmentation

Meng Lan, Jing Zhang, Fengxiang He +1

Semi-supervised video object segmentation (VOS) refers to segmenting the target object in remaining frames given its annotation in the first frame, which has been actively studied…

cs.CV2021★ 172 cited

Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images

Lefei Zhang, Meng Lan, Jing Zhang +1

Road segmentation from remote sensing images is a challenging task with wide ranges of application potentials. Deep neural networks have advanced this field by leveraging the power…

cs.CV2021★ 19 cited

Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery

Chen Wu, Sihan Zhu, Jiaqi Yang +6

As the COVID-19 epidemic began to worsen in the first months of 2020, stringent lockdown policies were implemented in numerous cities throughout the world to control human transmis…

cs.CV2018★ 3 cited

Defect Detection from UAV Images based on Region-Based CNNs

Meng Lan, Yipeng Zhang, Lefei Zhang +1

With the wide applications of Unmanned Aerial Vehicle (UAV) in engineering such as the inspection of the electrical equipment from distance, the demands of efficient object detecti…