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JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image

Jul 09, 2020
Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang

* Accepted by ECCV2020 as a Spotlight paper 

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Attention-based Residual Speech Portrait Model for Speech to Face Generation

Jul 09, 2020
Jianrong Wang, Xiaosheng Hu, Li Liu, Wei Liu, Mei Yu, Tianyi Xu


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Dynamic Group Convolution for Accelerating Convolutional Neural Networks

Jul 08, 2020
Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu

* 21 pages, 10 figures 

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Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

Jun 26, 2020
Jianrong Wang, Ge Zhang, Zhenyu Wu, XueWei Li, Li Liu


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Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

Jun 20, 2020
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao


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Improved Residual Networks for Image and Video Recognition

Apr 10, 2020
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao


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Controllable Orthogonalization in Training DNNs

Apr 02, 2020
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao

* Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/ONI 

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An Investigation into the Stochasticity of Batch Whitening

Mar 27, 2020
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/StochasticityBW 

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Auto-Encoding Twin-Bottleneck Hashing

Mar 16, 2020
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

* CVPR 2020 Accepted, Code at https://github.com/ymcidence/TBH 

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Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs

Mar 11, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 

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Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog

Mar 10, 2020
Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan

* Accepted by The Web Conference 2020 (WWW 2020). Equal contribution from first two authors. Dataset and code are released at https://github.com/gsh199449/stickerchat 

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Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking

Mar 08, 2020
Li Liu, Jiong Zhang, Da Chen, HUazhong Shu, Laurent D. Cohen


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Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis

Feb 25, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 

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Deep Video Super-Resolution using HR Optical Flow Estimation

Jan 06, 2020
Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An

* Accepted by IEEE TIP. arXiv admin note: text overlap with arXiv:1809.08573 

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Deep Learning for 3D Point Clouds: A Survey

Dec 27, 2019
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun

* https://github.com/QingyongHu/SoTA-Point-Cloud 

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DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

Dec 10, 2019
Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao

* Extension work of our MICCAI paper 

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Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network

Nov 22, 2019
Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu

* Submitted to the 24th European Conference on Artificial Intelligence 

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Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation

Nov 18, 2019
Yunyi Li, Li Liu, Yu Zhao, Xiefeng Cheng, Guan Gui

* This paper has been submited to the Journal of the Franklin Institute. arXiv admin note: substantial text overlap with arXiv:1903.09787 

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Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent

Sep 16, 2019
Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

* 14 pages 

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RANet: Ranking Attention Network for Fast Video Object Segmentation

Sep 08, 2019
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao

* Accepted by ICCV 2019. 10 pages, 7 figures, 6 tables. The supplementary file can be found at https://csjunxu.github.io/paper/2019ICCV/RANet_supp.pdf ; Code is available at https://github.com/Storife/RANet 

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Embarrassingly Simple Binary Representation Learning

Aug 26, 2019
Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

* ICCV 2019 CEFRL4 Workshop 

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NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

Aug 04, 2019
Yingkun Hou, Jun Xu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao

* 12 pages, 8 figures, 8 tables 

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Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition

Jul 22, 2019
Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu


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Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image

Jul 04, 2019
Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao

* 13 pages, 7 figures, 8 tables 

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