24 citations · 28 across the 7 of their papers we have counts for
7 papers
TEA: Temporal Adaptive Satellite Image Semantic Segmentation
Juyuan Kang, Hao Zhu, Yan Zhu +6
Crop mapping based on satellite images time-series (SITS) holds substantial economic value in agricultural production settings, in which parcel segmentation is an essential step. E…
Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection
Xinyuan Liu, Hang Xu, Zirui Chen +3
Given its ability to reduce annotation costs, weakly supervised learning based on single-point annotations has emerged as a research focus in oriented object detection. Compared wi…
TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
Yanping Fu, Xinyuan Liu, Tianyu Li +3
Topology reasoning, which unifies perception and structured reasoning, plays a vital role in understanding intersections for autonomous driving. However, its performance heavily re…
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
Hao Zhu, Yan Zhu, Jiayu Xiao +4
Automated crop mapping through Satellite Image Time Series (SITS) has emerged as a crucial avenue for agricultural monitoring and management. However, due to the low resolution and…
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Yanping Fu, Wenbin Liao, Xinyuan Liu +4
As an emerging task that integrates perception and reasoning, topology reasoning in autonomous driving scenes has recently garnered widespread attention. However, existing work oft…
Rethinking Boundary Discontinuity Problem for Oriented Object Detection
Hang Xu, Xinyuan Liu, Haonan Xu +4
Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the p…
Dense Scale Network for Crowd Counting
Feng Dai, Hao Liu, Yike Ma +3
Crowd counting has been widely studied by computer vision community in recent years. Due to the large scale variation, it remains to be a challenging task. Previous methods adopt e…