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20122026
most citedLinking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

490 citations

Showing 2021Show all

7 papers · 1 filter

eess.SP2021

The Gardner problem and cycle slipping bifurcation for type 2 phase-locked loops

Nikolay V. Kuznetsov, Dmitry G. Arseniev, Mikhail V. Blagov +4

In the present work, a second-order type 2 PLL with a piecewise-linear phase detector characteristic is analysed. An exact solution to the Gardner problem on the lock-in range is o…

cs.CV2021★ 230 cited

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network

Ge-Peng Ji, Lei Zhu, Mingchen Zhuge +1

Camouflaged Object Detection (COD) aims to detect objects with similar patterns (e.g., texture, intensity, colour, etc) to their surroundings, and recently has attracted growing re…

cs.LG2021★ 4 cited

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving

Jingzhi Tu, Gang Mei, Francesco Piccialli

Autonomous driving is the key technology of intelligent logistics in Industrial Internet of Things (IIoT). In autonomous driving, the appearance of incomplete point clouds losing g…

cs.CV2021★ 21 cited

Deep Transfer Learning for Identifications of Slope Surface Cracks

Yuting Yang, Gang Mei

Geohazards such as landslides have caused great losses to the safety of people's lives and property, which is often accompanied with surface cracks. If such surface cracks could be…

cs.CV2021★ 153 cited

Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

Lei Ding, Dong Lin, Shaofu Lin +5

Long-range contextual information is crucial for the semantic segmentation of High-Resolution (HR) Remote Sensing Images (RSIs). However, image cropping operations, commonly used f…

cs.LG2021★ 7 cited

Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction

Zhengjing Ma, Gang Mei, Salvatore Cuomo +1

Heterogeneous data are commonly adopted as the inputs for some models that predict the future trends of some observations. Existing predictive models typically ignore the inconsist…

cs.CV2021★ 24 cited

GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator

Xingyu Liu, Ruida Zhang, Chenyangguang Zhang +4

6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Recently, the emergence of deep learning reveals the potential of Convolutional Neur…