谢洪涛  (教授)

博士生导师 硕士生导师

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学历:博士研究生毕业

办公地点:中科大高新校区信智楼A506

学位:博士

毕业院校:中国科学院研究生院(中国科学院计算技术研究所)

学科:信息与通信工程

学术论文

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已发表论文参见:https://dblp.dagstuhl.de/pid/25/588.html


代表性论文如下:

[1].  Yuxin Wang, Hongtao Xie*, Zixiao Wang, Yadong Qu, Yongdong Zhang: What is the Real Need for Scene Text Removal? Exploring the Background Integrity and Erasure Exhaustivity Properties. IEEE Trans. Image Process. 32: 4567-4580, 2023.

[2].  Shancheng Fang, Zhendong Mao, Hongtao Xie*, Yuxin Wang, Chenggang Yan, Yongdong Zhang: ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7123-7141, 2023.

[3].  Pandeng Li, Hongtao Xie*, Shaobo Min, Jiannan Ge, Xun Chen, Yongdong Zhang: Deep Fourier Ranking Quantization for Semi-Supervised Image Retrieval. IEEE Trans. Image Process. 31: 5909-5922, 2022.

[4].  Lingyun Yu, Hongtao Xie*, Yongdong Zhang: Multimodal Learning for Temporally Coherent Talking Face Generation With Articulator Synergy. IEEE Trans. Multim. 24: 2950-2962, 2022.

[5].  Shaobo Min, Hantao Yao, Hongtao Xie*, Zheng-Jun Zha, Yongdong Zhang: Multi-Objective Matrix Normalization for Fine-Grained Visual Recognition. IEEE Trans. Image Process. 29: 4996-5009, 2020.

[6].  Pandeng Li, Chen-Wei Xie, Hongtao Xie*, Liming Zhao, Lei Zhang, Yun Zheng, Deli Zhao, Yongdong Zhang: MomentDiff: Generative Video Moment Retrieval from Random to Real. NeurIPS, 2023.

[7].  Zhiying Lu, Hongtao Xie*, Chuanbin Liu, Yongdong Zhang: Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets. NeurIPS, 2022.

[8].  Shaobo Min, Hongtao Xie*, Hantao Yao, Xuran Deng, Zheng-Jun Zha, Yongdong Zhang: Hierarchical Granularity Transfer Learning. NeurIPS, 2020.

[9].  Yuxin Wang, Hongtao Xie*, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang: From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network. ICCV 2021: 14174-14183.

[10]. Jiaming Li, Hongtao Xie*, Jiahong Li, Zhongyuan Wang, Yongdong Zhang: Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection. CVPR 2021: 6458-6467