TANG HE
·Scientific Research
Current position:
英文主页
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Scientific Research
Research Field
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We study the basic theories and applications of computer vision and machine learning (deep learning), and focus on the following topics:
Basic tasks of computer vision, e.g., object detection, recognition and segmentation of images;
Deep neural networks applied in medical image analysis, e.g., computer aided diagnosis and medical image segmentation.
Paper Publications
- [1] He Wang.LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise.AAAI Conference on Artificial Intelligence.2023
- [2] Jialun Pei.Transformer-based Efficient Salient Instance Segmentation Networks with Orientative Query.IEEE Transactions on Multimedia.2022
- [3] Xuan Zheng,Xiaolong Cheng.Depth-induced Gap-reducing Network for RGB-D Salient Object Detection: An Interaction, Guidance and Refinement Approach.IEEE Transactions on Multimedia.2022
Patents
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Published Books
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Research Projects
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