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Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm


Sep 23, 2021
Keshav Bimbraw, Christopher Julius Nycz, Matt Schueler, Ziming Zhang, Haichong K. Zhang

* 6 pages of content, 1 page of references (total 7 pages) and 8 figures 

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Revisiting 2D Convolutional Neural Networks for Graph-based Applications


May 23, 2021
Yecheng Lyu, Xinming Huang, Ziming Zhang

* Accepted by T-PAMI. arXiv admin note: substantial text overlap with arXiv:1909.12383 

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Deep Lucas-Kanade Homography for Multimodal Image Alignment


Apr 22, 2021
Yiming Zhao, Xinming Huang, Ziming Zhang

* Accepted by CVPR2021, codelink: https://github.com/placeforyiming/CVPR21-Deep-Lucas-Kanade-Homography 

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A Surface Geometry Model for LiDAR Depth Completion


Apr 17, 2021
Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang

* IEEE Robotics and Automation Letters (2021). Code link: https://github.com/placeforyiming/RAL_Non-Learning_DepthCompletion 

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Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning


Apr 05, 2021
Yuanwei Wu, Ziming Zhang, Guanghui Wang

* 30 pages, 18 figures. arXiv admin note: substantial text overlap with arXiv:1711.06959 

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EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation


Mar 03, 2021
Yecheng Lyu, Xinming Huang, Ziming Zhang

* 11 pages 

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Self-Supervised Visual Attention Learning for Vehicle Re-Identification


Oct 19, 2020
Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang


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RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm


Oct 15, 2020
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang


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$f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation Learning


Oct 02, 2020
Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang


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LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation


Sep 01, 2020
Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang

* In 28th ACM International Conference on Multimedia, 9 pages 

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TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning


Jun 21, 2020
Yecheng Lyu, Ming Li, Xinming Huang, Ziming Zhang

* 10 pages 

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Automatic Building and Labeling of HD Maps with Deep Learning


Jun 01, 2020
Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang

* Accepted by IAAI2020 

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Learning to Segment 3D Point Clouds in 2D Image Space


Mar 23, 2020
Yecheng Lyu, Xinming Huang, Ziming Zhang

* Accepted to CVPR 2020 as oral 

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Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters


Jan 17, 2020
Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang

* This version fixed the controversial expression in Section 2.2 

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Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs


Sep 26, 2019
Yecheng Lyu, Xinming Huang, Ziming Zhang


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White-Box Adversarial Defense via Self-Supervised Data Estimation


Sep 13, 2019
Zudi Lin, Hanspeter Pfister, Ziming Zhang


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Towards Learning Affine-Invariant Representations via Data-Efficient CNNs


Aug 31, 2019
Xenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang


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Unsupervised Deep Feature Transfer for Low Resolution Image Classification


Aug 27, 2019
Yuanwei Wu, Ziming Zhang, Guanghui Wang

* 4 pages, accepted to ICCV19 Workshop and Challenge on Real-World Recognition from Low-Quality Images and Videos 

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RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?


Aug 26, 2019
Anil Kag, Ziming Zhang, Venkatesh Saligrama


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Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network


Mar 26, 2019
Esra Ataer-Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan


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Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning


Mar 02, 2019
Ziming Zhang, Wenju Xu, Alan Sullivan


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Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability


Mar 02, 2019
Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama


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Deformable Part Networks


May 22, 2018
Ziming Zhang, Rongmei Lin, Alan Sullivan


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LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks


May 22, 2018
Ziming Zhang


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Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks


Nov 20, 2017
Ziming Zhang, Matthew Brand

* NIPS 2017 

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BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning


Nov 19, 2017
Ziming Zhang, Yuanwei Wu, Guanghui Wang


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Sequential Optimization for Efficient High-Quality Object Proposal Generation


May 22, 2017
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr

* Accepted by TPAMI 

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