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SparsePoint: Fully End-to-End Sparse 3D Object Detector


Mar 18, 2021
Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai


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Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification


Feb 07, 2021
Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai

* 10 pages, 3 figures. Accepted for publication in IEEE Transactions on Image Processing 2021 

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Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework


Oct 10, 2020
Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

* 9 pages, 3 figures 

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RESA: Recurrent Feature-Shift Aggregator for Lane Detection


Aug 31, 2020
Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai


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Parts-dependent Label Noise: Towards Instance-dependent Label Noise


Jun 14, 2020
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama


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Class2Simi: A New Perspective on Learning with Label Noise


Jun 14, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


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Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds


Apr 01, 2020
Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai


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Multi-Class Classification from Noisy-Similarity-Labeled Data


Feb 16, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


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Adversarial-Learned Loss for Domain Adaptation


Jan 04, 2020
Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai

* Published in 34th AAAI Conference on Artificial Intelligence, 2020 

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DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration


Dec 21, 2019
Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

* 9 pages, 5 figures 

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Training-Time-Friendly Network for Real-Time Object Detection


Sep 02, 2019
Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

* 8 pages, 4 figures 

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Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks


Oct 17, 2018
Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li


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Addressing the Item Cold-start Problem by Attribute-driven Active Learning


May 23, 2018
Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

* 14 pages, 7 figures, 9 tables. Submitted to TKDE 

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Deep Rotation Equivariant Network


Feb 28, 2018
Junying Li, Zichen Yang, Haifeng Liu, Deng Cai


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PixelLink: Detecting Scene Text via Instance Segmentation


Jan 04, 2018
Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai

* AAAI-2018 

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On the Diversity of Realistic Image Synthesis


Dec 20, 2017
Zichen Yang, Haifeng Liu, Deng Cai

* 10 pages, 11 figures 

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BENCHIP: Benchmarking Intelligence Processors


Nov 25, 2017
Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Lingjie Xu, Cong Liu, Haifeng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen

* 37pages, 14 figures 

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