490 citations · 1.1k across the 10 of their papers we have counts for
10 papers
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification
Ying Qu, Razieh Kaviani Baghbaderani, Wei Li +2
Hyperspectral image (HSI) classification is one of the most active research topics and has achieved promising results boosted by the recent development of deep learning. However, m…
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor
Wensheng Cheng, Hao Luo, Wen Yang +2
Lane marker extraction is a basic yet necessary task for autonomous driving. Although past years have witnessed major advances in lane marker extraction with deep learning models,…
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
Xin Wu, Wei Li, Danfeng Hong +3
Vehicle detection in remote sensing images has attracted increasing interest in recent years. However, its detection ability is limited due to lack of well-annotated samples, espec…
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
Feixiang Lu, Zongdai Liu, Xibin Song +8
We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving. Our approach combines the streng…
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Wen-Shuai Hu, Heng-Chao Li, Lei Pan +3
In recent years, deep learning has presented a great advance in hyperspectral image (HSI) classification. Particularly, long short-term memory (LSTM), as a special deep learning st…
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Jingya Wang, Xiatian Zhu, Shaogang Gong +1
Recognising semantic pedestrian attributes in surveillance images is a challenging task for computer vision, particularly when the imaging quality is poor with complex background c…