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TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision.

S. He, Y. He, M. Lu, C. Jiang, X. Yang, F. Qian, X. Zhang, L. Yang, и J. Zhang. AAAI, стр. 799-807. AAAI Press, (2023)

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Chunmao He

Ning He

Hongxia He

Xiaowen He

Hucang He

Другие публикации лиц с тем же именем

A regularized on-line sequential extreme learning machine with forgetting property for fast dynamic hysteresis modeling.Z. Wu, H. Tang, S. He, J. Gao, X. Chen, C. Cui, Y. He, K. Zhang, H. Li, и Y. Li. IROS, стр. 383-388. IEEE, (2017)Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval.C. Jiang, K. Huang, S. He, X. Yang, W. Zhang, X. Zhang, Y. Cheng, L. Yang, Q. Wang, F. Xu и 2 other автор(ы). CoRR, (2023)Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval.Z. Ma, J. Dong, S. Ji, Z. Liu, X. Zhang, Z. Wang, S. He, F. Qian, X. Zhang, и L. Yang. CoRR, (2023)A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection.S. He, X. Yang, C. Jiang, G. Liang, W. Zhang, T. Pan, Q. Wang, F. Xu, C. Li, J. Liu и 6 other автор(ы). CVPR, стр. 21054-21063. IEEE, (2022)Fast Super-Resolution in MRI Images Using Phase Stretch Transform, Anchored Point Regression and Zero-Data Learning.S. He, и B. Jalali. ICIP, стр. 2876-2880. IEEE, (2019)Web Photo Source Identification based on Neural Enhanced Camera Fingerprint.F. Qian, S. He, H. Huang, H. Ma, X. Zhang, и L. Yang. WWW, стр. 2054-2065. ACM, (2023)TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision.S. He, Y. He, M. Lu, C. Jiang, X. Yang, F. Qian, X. Zhang, L. Yang, и J. Zhang. AAAI, стр. 799-807. AAAI Press, (2023)A Novel Self-Feedback Intelligent Vision Measure for Fast and Accurate Alignment in Flip-Chip Packaging.Z. Wu, H. Tang, Z. Feng, W. Wang, S. He, J. Gao, X. Chen, Y. He, и X. Chen. IEEE Trans. Ind. Informatics, 16 (3): 1776-1787 (2020)TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision.S. He, Y. He, M. Lu, C. Jiang, X. Yang, F. Qian, X. Zhang, L. Yang, и J. Zhang. CoRR, (2022)Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval.Z. Ma, J. Dong, S. Ji, Z. Liu, X. Zhang, Z. Wang, S. He, F. Qian, X. Zhang, и L. Yang. AAAI, стр. 4126-4135. AAAI Press, (2024)

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