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Learning Attentive and Hierarchical Representations for 3D Shape Recognition.

J. Chen, J. Qin, Y. Shen, L. Liu, F. Zhu, и L. Shao. ECCV (15), том 12360 из Lecture Notes in Computer Science, стр. 105-122. Springer, (2020)

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Jie Qin

Zhou Jie

Yucheng Jie

Qi Qin

Gang Qin

Другие публикации лиц с тем же именем

Advances in Atomic Gyroscopes: A View from Inertial Navigation Applications.J. Fang, и J. Qin. Sensors, 12 (5): 6331-6346 (2012)Embarrassingly Simple Binary Representation Learning.Y. Shen, J. Qin, J. Chen, L. Liu, F. Zhu, и Z. Shen. ICCV Workshops, стр. 2883-2892. IEEE, (2019)Research on artificial synthetic seismic record based on adaptive positive definite least squares method.L. Chen, Q. Jie, и L. Yongchang. Int. J. Comput. Appl. Technol., 62 (4): 318-326 (2020)Learning Attentive and Hierarchical Representations for 3D Shape Recognition.J. Chen, J. Qin, Y. Shen, L. Liu, F. Zhu, и L. Shao. ECCV (15), том 12360 из Lecture Notes in Computer Science, стр. 105-122. Springer, (2020)Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.Z. Li, Z. Zhang, J. Qin, S. Li, и H. Cai. Neural Networks, (2019)Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation.X. Bao, J. Qin, S. Sun, X. Wang, и Y. Zheng. AAAI, стр. 765-773. AAAI Press, (2024)Relay-Bounded Single-Actor Selection Algorithms for Wireless Sensor and Actor Networks.Z. Xu, J. Qin, G. Zhang, и W. Dou. ICNC (2), том 4222 из Lecture Notes in Computer Science, стр. 416-427. Springer, (2006)Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles.G. Wang, Y. Wang, J. Qin, D. Zhang, X. Bao, и D. Huang. ECCV (10), том 13670 из Lecture Notes in Computer Science, стр. 494-511. Springer, (2022)Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing.J. Chen, J. Qin, L. Liu, F. Zhu, F. Shen, J. Xie, и L. Shao. CVPR, стр. 791-800. Computer Vision Foundation / IEEE, (2019)Attentive Region Embedding Network for Zero-Shot Learning.G. Xie, L. Liu, X. Jin, F. Zhu, Z. Zhang, J. Qin, Y. Yao, и L. Shao. CVPR, стр. 9384-9393. Computer Vision Foundation / IEEE, (2019)

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