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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

* 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

* 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

* 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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Few-Shot Open-Set Recognition using Meta-Learning


Jun 07, 2020
Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos


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LeRoP: A Learning-Based Modular Robot Photography Framework


Nov 28, 2019
Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, TJ Rhodes, Bedrich Benes


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Any-Precision Deep Neural Networks


Nov 17, 2019
Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua


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Towards Physically Safe Reinforcement Learning under Supervision


Jan 19, 2019
Yinan Zhang, Devin Balkcom, Haoxiang Li


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A Modulation Module for Multi-task Learning with Applications in Image Retrieval


Sep 05, 2018
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu

* To appear in ECCV 2018 

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Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias


Aug 07, 2018
Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury

* ECCV 2018 

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Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots


Jul 30, 2018
Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang

* 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) 

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Towards Interpretable Face Recognition


May 02, 2018
Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu

* 16 pages, 10 figures, 6 tables, ECCV 2018 under review 

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The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation


Feb 24, 2018
Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee


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VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation


Aug 15, 2017
Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong

* To appear on ICCV 2017 

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