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DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization


Dec 08, 2022
Xiangyu Xu, Li Guan, Enrique Dunn, Haoxiang Li, Guang Hua

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Boosted Dynamic Neural Networks


Nov 30, 2022
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi

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* 10 pages, 6 figures 

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Implicit Autoencoder for Point Cloud Self-supervised Representation Learning


Jan 03, 2022
Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, Qixing Huang

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* 24 pages, 6 figures 

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Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning


Dec 01, 2021
Yanjie Zhu, Haoxiang Li, Yuanyuan Liu, Muzi Guo, Guanxun Cheng, Gang Yang, Haifeng Wang, Dong Liang

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* 27 pages,11 figures. Submitted to Magnetic Resonance in Medicine 

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Self-supervised Pretraining with Classification Labels for Temporal Activity Detection


Nov 26, 2021
Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo

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Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking


Jun 07, 2021
Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua

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* Accepted by CVPR 2021 

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Semi-supervised Long-tailed Recognition using Alternate Sampling


May 01, 2021
Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua

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GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition


May 01, 2021
Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

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Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition


May 01, 2021
Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

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Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas


Mar 24, 2021
Wei Wei, Li Guan, Yue Liu, Hao Kang, Haoxiang Li, Ying Wu, Gang Hua

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