activity
20202026
most citedLoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

162 citations · 193 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

EarthVL: A Progressive Earth Vision-Language Understanding and Generation Framework

Junjue Wang, Yanfei Zhong, Zihang Chen +3

Earth vision has achieved milestones in geospatial object recognition but lacks exploration in object-relational reasoning, limiting comprehensive scene understanding. To address t…

cs.CV2023

EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

Junjue Wang, Zhuo Zheng, Zihang Chen +2

Earth vision research typically focuses on extracting geospatial object locations and categories but neglects the exploration of relations between objects and comprehensive reasoni…

cs.CV2023★ 3 cited

Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning

Yinhe Liu, Sunan Shi, Junjue Wang +1

In remote sensing imagery analysis, patch-based methods have limitations in capturing information beyond the sliding window. This shortcoming poses a significant challenge in proce…

cs.CV2022★ 3 cited

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao +12

The scientific outcomes of the 2022 Landslide4Sense (L4S) competition organized by the Institute of Advanced Research in Artificial Intelligence (IARAI) are presented here. The obj…

cs.CV2022★ 1 cited

AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification

Chenyu Zheng, Junjue Wang, Ailong Ma +1

Land-cover classification has long been a hot and difficult challenge in remote sensing community. With massive High-resolution Remote Sensing (HRS) images available, manually and…

cs.CV2021★ 162 cited

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Junjue Wang, Zhuo Zheng, Ailong Ma +2

Deep learning approaches have shown promising results in remote sensing high spatial resolution (HSR) land-cover mapping. However, urban and rural scenes can show completely differ…

cs.HC2021

Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants

Truong An Pham, Junjue Wang, Yu Xiao +4

Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computing infrastructure. It is inspire…

cs.CV2020★ 6 cited

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

Zhuo Zheng, Yanfei Zhong, Junjue Wang +1

Geospatial object segmentation, as a particular semantic segmentation task, always faces with larger-scale variation, larger intra-class variance of background, and foreground-back…

cs.HC2020★ 18 cited

Impact of delayed response on Wearable Cognitive Assistance

M. Olguín Muñoz, R. Klatzky, J. Wang +3

Wearable Cognitive Assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge co…