Haiyan Wang

Affiliations:
  • City University of New York, New York, USA


According to our database1, Haiyan Wang authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Nonverbal Communication Cue Recognition: A Pathway to More Accessible Communication.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Sequential Point Clouds: A Survey.
CoRR, 2022

CoVisPose: Co-visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360$^\circ $ Indoor Panoramas.
Proceedings of the Computer Vision - ECCV 2022, 2022

Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth.
Proceedings of the Computer Vision - ECCV 2022, 2022

PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Self-supervised 4D Spatio-temporal Feature Learning via Order Prediction of Sequential Point Cloud Clips.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Subsurface Pipes Detection Using DNN-based Back Projection on GPR Data.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes.
CoRR, 2020

GPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Towards Efficient 3D Point Cloud Scene Completion via Novel Depth View Synthesis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Towards Accurate Instance-Level Text Spotting with Guided Attention.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Towards Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


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