Ying Wang

Orcid: 0000-0002-6807-1513

Affiliations:
  • Beijing Institute of Technology, School of Optoelectronics, China


According to our database1, Ying Wang authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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Bibliography

2024
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Multi-Step Temporal Modeling for UAV Tracking.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

BACTrack: Building Appearance Collection for Aerial Tracking.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Searching Region-Free and Template-Free Siamese Network for Tracking Drones in TIR Videos.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Dynamic Loss for Robust Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022
Learning Spatio-Temporal Attention Based Siamese Network for Tracking UAVs in the Wild.
Remote. Sens., 2022

ARTracker: Compute a More Accurate and Robust Correlation Filter for UAV Tracking.
IEEE Geosci. Remote. Sens. Lett., 2022

MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds.
CoRR, 2021

Adaptive Gaussian-Like Response Correlation Filter for UAV Tracking.
Proceedings of the Image and Graphics - 11th International Conference, 2021

SiamSTA: Spatio-Temporal Attention based Siamese Tracker for Tracking UAVs.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking.
Proceedings of the Asian Conference on Machine Learning, 2021


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