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Ziming Zhang
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2020 – today
- 2024
- [j22]Ziming Zhang, Wenjun Tan, Yuhang Sun, Juntao Han, Zhe Wang, Hongsheng Xue, Ruoyu Wang:
Self-supervised neural network-based endoscopic monocular 3D reconstruction method. Health Inf. Sci. Syst. 12(1): 4 (2024) - [c88]Kaifeng Zhang, Rui Zhao, Ziming Zhang, Yang Gao:
Auto-Encoding Adversarial Imitation Learning. AAMAS 2024: 2591-2593 - [c87]Guanyi Mou, Yun Yue, Kyumin Lee, Ziming Zhang:
Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts. ICWSM 2024: 1096-1109 - [c86]Jinhong Diao
, Peng Sun
, Junfeng Chen
, Ziming Zhang
, Zhaoqi Chen
:
Intelligent Medicine Box Monitoring System Based on ZigBee Technology. PEAI 2024: 924-928 - [c85]Yun Yue, Fangzhou Lin
, Guanyi Mou, Ziming Zhang:
Understanding Hyperbolic Metric Learning through Hard Negative Sampling. WACV 2024: 1880-1892 - [i49]Yun Yue, Fangzhou Lin
, Guanyi Mou, Ziming Zhang:
Understanding Hyperbolic Metric Learning through Hard Negative Sampling. CoRR abs/2404.15523 (2024) - [i48]Xihan Ma, Mingjie Zeng, Jeffrey C. Hill, Beatrice Hoffmann, Ziming Zhang, Haichong K. Zhang:
Guiding the Last Centimeter: Novel Anatomy-Aware Probe Servoing for Standardized Imaging Plane Navigation in Robotic Lung Ultrasound. CoRR abs/2406.11523 (2024) - 2023
- [j21]Ziming Zhang, Xiaolong Xu
, Fu Xiao:
LGAN-DP: A novel differential private publication mechanism of trajectory data. Future Gener. Comput. Syst. 141: 692-703 (2023) - [j20]Ziming Zhang, Wenjia Wang, Zihan Zhao, Erfu Wang:
PVO-based reversible data hiding using bit plane segmentation and pixel expansion. J. Inf. Secur. Appl. 79: 103649 (2023) - [j19]Yecheng Lyu
, Xinming Huang
, Ziming Zhang:
Revisiting 2D Convolutional Neural Networks for Graph-Based Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6909-6922 (2023) - [j18]Ming Li
, Jun Liu
, Ce Zheng
, Xinming Huang
, Ziming Zhang:
Exploiting Multi-View Part-Wise Correlation via an Efficient Transformer for Vehicle Re-Identification. IEEE Trans. Multim. 25: 919-929 (2023) - [j17]Yiming Zhao
, Mahdi Elhousni
, Ziming Zhang, Xinming Huang
:
Distance Transform Pooling Neural Network for LiDAR Depth Completion. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5580-5589 (2023) - [c84]Biao Yin
, Nicholas Josselyn
, Ziming Zhang
, Elke A. Rundensteiner
, Thomas A. Considine
, John V. Kelley
, Berend C. Rinderspacher
, Robert E. Jensen
, James F. Snyder
:
MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. CIKM 2023: 5128-5132 - [c83]Yiqing Zhang, Xinming Huang, Ziming Zhang:
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. CVPR 2023: 13187-13197 - [c82]M. Caner Tol, Saad Islam, Andrew J. Adiletta, Berk Sunar, Ziming Zhang:
Don't Knock! Rowhammer at the Backdoor of DNN Models. DSN 2023: 109-122 - [c81]Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao:
Obstacle Avoidance Formation Control of Unmanned Ground Vehicles Based on a Game-Theoretic Approach. ICARM 2023: 642-646 - [c80]Fangzhou Lin
, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang:
Hyperbolic Chamfer Distance for Point Cloud Completion. ICCV 2023: 14549-14560 - [c79]Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang:
Distributional Cloning for Stabilized Imitation Learning via ADMM. ICDM 2023: 818-827 - [c78]Ziming Zhang, Yucheng Wang, Chu He, Qingyi Zhang, Xi Chen:
Weakly Semi-Supervised Oriented Object Detection with Points. ICIP 2023: 3080-3084 - [c77]Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. ICMLA 2023: 1662-1668 - [c76]Yuanyuan Yue, Qingshan Liu, Ziming Zhang:
A Distributed Projection-Based Algorithm with Local Estimators for Optimal Formation of Multi-robot System. ICONIP (1) 2023: 344-355 - [c75]Ziming Zhang, Ruixuan Jia, Xiaoming Chen, Shuyi Shao:
Dynamic Obstacle Avoidance Path Planning of Unmanned Vehicle Based on Improved APF. ISCSIC 2023: 135-140 - [c74]Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama:
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS 2023 - [c73]Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM 2023: 208-216 - [c72]Xin Zhang, Yanhua Li
, Ziming Zhang, Zhi-Li Zhang:
Domain Disentangled Meta-Learning. SDM 2023: 541-549 - [c71]Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu:
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV 2023: 3847-3857 - [i47]Yun Yue, Fangzhou Lin
, Kazunori D. Yamada, Ziming Zhang:
Hyperbolic Contrastive Learning. CoRR abs/2302.01409 (2023) - [i46]Ming Li, Xinming Huang, Ziming Zhang:
Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version). CoRR abs/2303.11169 (2023) - [i45]Yiqing Zhang, Xinming Huang, Ziming Zhang:
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment. CoRR abs/2303.11526 (2023) - 2022
- [j16]Ziming Zhang, Xiaolong Xu
, Fu Xiao:
5GMEC-DP: Differentially private protection of trajectory data based on 5G-based mobile edge computing. Comput. Networks 218: 109376 (2022) - [j15]Fangzhou Lin
, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada:
Cosmos Propagation Network: Deep learning model for point cloud completion. Neurocomputing 507: 221-234 (2022) - [j14]Shuaiyuan Du, Chaoyi Hong, Yinpeng Chen, Zhiguo Cao, Ziming Zhang:
Class-attribute inconsistency learning for novelty detection. Pattern Recognit. 126: 108582 (2022) - [j13]Mahdi Elhousni
, Ziming Zhang, Xinming Huang
:
LiDAR-OSM-Based Vehicle Localization in GPS-Denied Environments by Using Constrained Particle Filter. Sensors 22(14): 5206 (2022) - [j12]Hongtao Xue
, Dianyong Ding
, Ziming Zhang
, Meng Wu
, Huaqing Wang
:
A Fuzzy System of Operation Safety Assessment Using Multimodel Linkage and Multistage Collaboration for In-Wheel Motor. IEEE Trans. Fuzzy Syst. 30(4): 999-1013 (2022) - [c70]Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan:
A segmentation method of airway from chest CT image based on VGG-Unet neural network. BIBM 2022: 1702-1705 - [c69]Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner:
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? IEEE Big Data 2022: 5504-5513 - [c68]Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang:
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CVPR 2022: 15273-15283 - [c67]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang:
Robust Object Detection with Inaccurate Bounding Boxes. ECCV (10) 2022: 53-69 - [c66]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS 2022: 12:1-12:10 - [c65]Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. ICMLA 2022: 1386-1391 - [c64]Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang:
Prediction of Metacarpophalangeal Joint Angles and Classification of Hand Configurations Based on Ultrasound Imaging of the Forearm. ICRA 2022: 91-97 - [c63]Zhibao Wang, Ziming Zhang, Lu Bai
, Yuze Yang, Qiang Ma:
Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images. IGARSS 2022: 3512-3515 - [c62]Yecheng Lyu, Xinming Huang, Ziming Zhang:
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. WACV 2022: 256-266 - [i44]Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang:
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. CoRR abs/2203.15245 (2022) - [i43]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang:
Robust Object Detection With Inaccurate Bounding Boxes. CoRR abs/2207.09697 (2022) - [i42]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR abs/2209.13459 (2022) - [i41]Keshav Bimbraw, Christopher J. Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang:
Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound. CoRR abs/2211.15871 (2022) - 2021
- [j11]Mahdi Elhousni
, Ziming Zhang, Xinming Huang
:
Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance. IEEE Access 9: 145638-145647 (2021) - [j10]Yiming Zhao
, Lin Bai
, Ziming Zhang, Xinming Huang
:
A Surface Geometry Model for LiDAR Depth Completion. IEEE Robotics Autom. Lett. 6(3): 4457-4464 (2021) - [c61]Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
Corrosion Image Data Set for Automating Scientific Assessment of Materials. BMVC 2021: 102 - [c60]Xin Zhang, Weixiao Huang, Yanhua Li, Renjie Liao, Ziming Zhang:
Imitation Learning From Inconcurrent Multi-Agent Interactions. CDC 2021: 43-48 - [c59]Yiming Zhao, Xinming Huang, Ziming Zhang:
Deep Lucas-Kanade Homography for Multimodal Image Alignment. CVPR 2021: 15950-15959 - [c58]Johnathan Adams, Ziming Zhang, Gregory M. Noetscher, Ara Nazarian, Sergey N. Makarov:
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening. EMBC 2021: 15-18 - [c57]Ming Li, Xinming Huang, Ziming Zhang:
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond. ICCV 2021: 194-204 - [c56]Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo:
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM 2021: 906-915 - [c55]Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM 2021: 966-975 - [c54]Xihan Ma, Ziming Zhang, Haichong K. Zhang:
Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging. IROS 2021: 9467-9474 - [c53]Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang:
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS 2021: 25839-25851 - [i40]Yecheng Lyu, Xinming Huang, Ziming Zhang:
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. CoRR abs/2103.02517 (2021) - [i39]Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Branch-and-Pruning Optimization Towards Global Optimality in Deep Learning. CoRR abs/2104.01730 (2021) - [i38]Yiming Zhao, Lin Bai, Ziming Zhang, Xinming Huang:
A Surface Geometry Model for LiDAR Depth Completion. CoRR abs/2104.08466 (2021) - [i37]Yiming Zhao, Xinming Huang, Ziming Zhang:
Deep Lucas-Kanade Homography for Multimodal Image Alignment. CoRR abs/2104.11693 (2021) - [i36]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Revisiting 2D Convolutional Neural Networks for Graph-based Applications. CoRR abs/2105.11016 (2021) - [i35]Nikhil Jonnavithula, Yecheng Lyu, Ziming Zhang:
LiDAR Odometry Methodologies for Autonomous Driving: A Survey. CoRR abs/2109.06120 (2021) - [i34]Keshav Bimbraw, Christopher Julius Nycz, Matthew J. Schueler, Ziming Zhang, Haichong K. Zhang:
Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm. CoRR abs/2109.11093 (2021) - [i33]M. Caner Tol, Saad Islam, Berk Sunar, Ziming Zhang:
An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware. CoRR abs/2110.07683 (2021) - 2020
- [j9]Xiufeng Cheng, Ziming Zhang
, Yue Yang
, Zhonghua Yan:
Open collaboration between universities and enterprises: a case study on GitHub. Internet Res. 30(4): 1251-1279 (2020) - [c52]Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang:
Automatic Building and Labeling of HD Maps with Deep Learning. AAAI 2020: 13255-13260 - [c51]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Learning to Segment 3D Point Clouds in 2D Image Space. CVPR 2020: 12252-12261 - [c50]Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM 2020: 801-810 - [c49]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 - [c48]Ziming Zhang:
An Efficient Empirical Solver for Localized Multiple Kernel Learning via DNNs. ICPR 2020: 647-654 - [c47]Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang:
TreeRNN: Topology-Preserving Deep Graph Embedding and Learning. ICPR 2020: 7493-7499 - [c46]Yun Yue, Ming Li, Venkatesh Saligrama
, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR 2020: 10532-10539 - [c45]Keshav Bimbraw
, Xihan Ma
, Ziming Zhang
, Haichong K. Zhang
:
Augmented Reality-Based Lung Ultrasound Scanning Guidance. ASMUS/PIPPI@MICCAI 2020: 106-115 - [c44]Ce Zheng
, Yecheng Lyu, Ming Li, Ziming Zhang:
LodoNet: A Deep Neural Network with 2D Keypoint Matching for 3D LiDAR Odometry Estimation. ACM Multimedia 2020: 2391-2399 - [c43]Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang:
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. NeurIPS 2020 - [c42]Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang:
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. WACV 2020: 893-902 - [c41]Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. WACV 2020: 1044-1048 - [i32]Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang:
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters. CoRR abs/2001.01275 (2020) - [i31]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Learning to Segment 3D Point Clouds in 2D Image Space. CoRR abs/2003.05593 (2020) - [i30]Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang:
Automatic Building and Labeling of HD Maps with Deep Learning. CoRR abs/2006.00644 (2020) - [i29]Yecheng Lyu, Ming Li, Xinming Huang, Ziming Zhang:
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning. CoRR abs/2006.11825 (2020) - [i28]Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang:
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation. CoRR abs/2009.00164 (2020) - [i27]Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang:
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. CoRR abs/2010.01207 (2020) - [i26]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR abs/2010.05397 (2020) - [i25]Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang:
Self-Supervised Visual Attention Learning for Vehicle Re-Identification. CoRR abs/2010.09221 (2020) - [i24]Mahdi Elhousni, Xinming Huang, Ziming Zhang:
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance. CoRR abs/2011.10697 (2020)
2010 – 2019
- 2019
- [j8]Hongtao Xue
, Ziming Zhang, Meng Wu, Peng Chen:
Fuzzy Controller for Autonomous Vehicle Based on Rough Sets. IEEE Access 7: 147350-147361 (2019) - [j7]Ming-Ming Cheng
, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin
, Philip H. S. Torr:
BING: Binarized normed gradients for objectness estimation at 300fps. Comput. Vis. Media 5(1): 3-20 (2019) - [j6]Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang:
Exploiting the Anisotropy of Correlation Filter Learning for Visual Tracking. Int. J. Comput. Vis. 127(8): 1084-1105 (2019) - [c40]Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. ICCV Workshops 2019: 1065-1069 - [i23]Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama:
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR abs/1903.00755 (2019) - [i22]Esra Ataer Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan:
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network. CoRR abs/1903.10974 (2019) - [i21]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR abs/1908.08574 (2019) - [i20]Yuanwei Wu, Ziming Zhang, Guanghui Wang:
Unsupervised Deep Feature Transfer for Low Resolution Image Classification. CoRR abs/1908.10012 (2019) - [i19]Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang:
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. CoRR abs/1909.00114 (2019) - [i18]Zudi Lin, Hanspeter Pfister, Ziming Zhang:
White-Box Adversarial Defense via Self-Supervised Data Estimation. CoRR abs/1909.06271 (2019) - [i17]Yecheng Lyu, Xinming Huang, Ziming Zhang:
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs. CoRR abs/1909.12383 (2019) - 2018
- [j5]Ziming Zhang
, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng
, Venkatesh Saligrama
, Philip H. S. Torr:
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1209-1223 (2018) - [c39]Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CVPR 2018: 3301-3309 - [c38]Jianbo Zheng, Teng-Yok Lee
, Chen Feng
, Xiaohua Li, Ziming Zhang:
Robust Attentional Pooling via Feature Selection. ICPR 2018: 2038-2043 - [i16]Ziming Zhang:
LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks. CoRR abs/1805.08656 (2018) - [i15]Ziming Zhang, Rongmei Lin, Alan Sullivan:
Deformable Part Networks. CoRR abs/1805.08808 (2018) - 2017
- [j4]Ziming Zhang, Venkatesh Saligrama
:
PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. 27(3): 499-512 (2017) - [c37]Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, Kazuhiro Sumi:
Attention-Based Multimodal Fusion for Video Description. ICCV 2017: 4203-4212 - [c36]Ziming Zhang, Matthew Brand:
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. NIPS 2017: 1721-1730 - [i14]Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. CoRR abs/1711.06959 (2017) - [i13]Ziming Zhang, Matthew Brand:
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. CoRR abs/1711.07354 (2017) - 2016
- [j3]Ziming Zhang, Philip H. S. Torr:
Object Proposal Generation Using Two-Stage Cascade SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 102-115 (2016) - [j2]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu
:
TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput. Parallel Comput. 57: 108-124 (2016) - [c35]Ziming Zhang, Yuting Chen, Venkatesh Saligrama
:
Efficient Training of Very Deep Neural Networks for Supervised Hashing. CVPR 2016: 1487-1495 - [c34]Ziming Zhang, Venkatesh Saligrama
:
Zero-Shot Learning via Joint Latent Similarity Embedding. CVPR 2016: 6034-6042 - [c33]Ziming Zhang, Venkatesh Saligrama
:
Zero-Shot Recognition via Structured Prediction. ECCV (7) 2016: 533-548 - [c32]Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang:
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. ECCV (8) 2016: 662-678 - [i12]Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang:
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. CoRR abs/1608.08173 (2016) - [i11]Ziming Zhang, Venkatesh Saligrama:
Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR abs/1611.07593 (2016) - 2015
- [c31]Ziming Zhang, Venkatesh Saligrama
:
Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. ICASSP 2015: 3796-3800 - [c30]Ziming Zhang, Yuting Chen, Venkatesh Saligrama
:
Group Membership Prediction. ICCV 2015: 3916-3924 - [c29]Ziming Zhang, Venkatesh Saligrama
:
Zero-Shot Learning via Semantic Similarity Embedding. ICCV 2015: 4166-4174 - [c28]Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama
:
Efficient Activity Retrieval through Semantic Graph Queries. ACM Multimedia 2015: 391-400 - [i10]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Semantic Similarity Embedding. CoRR abs/1509.04767 (2015) - [i9]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Group Membership Prediction. CoRR abs/1509.04783 (2015) - [i8]Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama:
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR abs/1511.04511 (2015) - [i7]Ziming Zhang, Venkatesh Saligrama:
Classifying Unseen Instances by Learning Class-Independent Similarity Functions. CoRR abs/1511.04512 (2015) - [i6]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Supervised Hashing with Deep Neural Networks. CoRR abs/1511.04524 (2015) - 2014
- [c27]Ming-Ming Cheng
, Ziming Zhang, Wen-Yan Lin, Philip H. S. Torr:
BING: Binarized Normed Gradients for Objectness Estimation at 300fps. CVPR 2014: 3286-3293 - [c26]Ziming Zhang, Yuting Chen, Venkatesh Saligrama
:
A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV Workshops (3) 2014: 122-133 - [c25]Ziming Zhang, Michael Lang
, Scott Pakin
, Song Fu
:
Trapped capacity: scheduling under a power cap to maximize machine-room throughput. E2SC@SC 2014: 41-50 - [i5]Ziming Zhang:
Regularization for Multiple Kernel Learning via Sum-Product Networks. CoRR abs/1402.3032 (2014) - [i4]Ziming Zhang, Venkatesh Saligrama:
Person Re-identification via Structured Prediction. CoRR abs/1406.4444 (2014) - [i3]Ziming Zhang, Venkatesh Saligrama:
RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization. CoRR abs/1406.4445 (2014) - [i2]Ziming Zhang, Philip H. S. Torr:
Object Proposal Generation using Two-Stage Cascade SVMs. CoRR abs/1407.5242 (2014) - [i1]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
A Novel Visual Word Co-occurrence Model for Person Re-identification. CoRR abs/1410.6532 (2014) - 2013
- [b1]Ziming Zhang:
Efficient object detection via structured learning and local classifiers. Oxford Brookes University, UK, 2013 - [c24]Xin Zhi, Ziming Zhang, Yuhui Gao, Zhixiang Zhang:
Real-Time Vascular Beating Analog Based on the Mass-Spring Model. IIH-MSP 2013: 185-188 - [c23]Zhixiang Zhang, Ziming Zhang, Yuhui Gao, Xin Zhi, Jianfei Zhao:
Acupoint Teaching System Based on Android. IIH-MSP 2013: 206-209 - [c22]Yuhui Gao, Ziming Zhang, Zhixiang Zhang, Xin Zhi:
Design of Intelligent Abreaction and Relax System. IIH-MSP 2013: 214-217 - 2012
- [j1]Qiang Guan, Ziming Zhang, Song Fu
:
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. J. Commun. 7(1): 52-61 (2012) - [c21]Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr:
Efficient discriminative learning of parametric nearest neighbor classifiers. CVPR 2012: 2232-2239 - [c20]Ziming Zhang, Qiang Guan, Song Fu
:
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. IPCCC 2012: 51-60 - [c19]Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu
:
Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. NAS 2012: 207-216 - 2011
- [c18]Qiang Guan, Ziming Zhang, Song Fu
:
Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. ARES 2011: 83-90 - [c17]Ziming Zhang, Song Fu
:
Characterizing Power and Energy Usage in Cloud Computing Systems. CloudCom 2011: 146-153 - [c16]Ziming Zhang, Jonathan Warrell, Philip H. S. Torr:
Proposal generation for object detection using cascaded ranking SVMs. CVPR 2011: 1497-1504 - [c15]Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu:
Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. Euro-Par Workshops (2) 2011: 282-291 - [c14]Qiang Guan, Ziming Zhang, Song Fu
:
Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. ICCCN 2011: 1-6 - [c13]Ziming Zhang, Jiawei Huang, Ze-Nian Li:
Learning Sparse Features On-Line for Image Classification. ICIAR (1) 2011: 122-131 - [c12]Ziming Zhang, Song Fu
:
Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. IPCCC 2011: 1-8 - [c11]Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari:
Learning Anchor Planes for Classification. NIPS 2011: 1611-1619 - 2010
- [c10]Ziming Zhang, Ze-Nian Li, Mark S. Drew:
Learning image similarities via Probabilistic Feature Matching. ICIP 2010: 1857-1860 - [c9]Ziming Zhang, Ze-Nian Li, Mark S. Drew:
AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach. ICPR 2010: 2126-2129 - [c8]Ziming Zhang, Song Fu
:
Profiling and analysis of power consumption for virtualized systems and applications. IPCCC 2010: 329-330 - [c7]Ziming Zhang, Song Fu
:
Failure prediction for autonomic management of networked computer systems with availability assurance. IPDPS Workshops 2010: 1-8 - [c6]Ziming Zhang, Jiawei Huang, Ze-Nian Li:
Discovering Motion Patterns for Human Action Recognition. PCM (2) 2010: 716-727
2000 – 2009
- 2009
- [c5]Ziming Zhang, Ze-Nian Li, Mark S. Drew:
Feature correspondence with constrained global spatial structures. ICIP 2009: 177-180 - 2008
- [c4]Ziming Zhang, Yiqun Hu, Syin Chan, Liang-Tien Chia:
Motion Context: A New Representation for Human Action Recognition. ECCV (4) 2008: 817-829 - 2007
- [c3]Ziming Zhang, Syin Chan, Liang-Tien Chia:
Discriminative Signatures for Image Classification. ICIP (2) 2007: 197-200 - [c2]Ziming Zhang, Syin Chan, Liang-Tien Chia:
Codebook+: A New Module for Creating Discriminative Codebooks. ICME 2007: 815-818 - [c1]Ziming Zhang, Syin Chan, Liang-Tien Chia:
Image classification using tensor representation. ACM Multimedia 2007: 281-284
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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