Zenglin Shi

According to our database, Zenglin Shi authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training-free Object Counting with Prompts.

Zenglin Shi, Ying Sun, Mengmi Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Focus for Free in Density-Based Counting.

Zenglin Shi, Pascal Mettes, Cees G. M. Snoek

CoRR, 2023

Approximately Learning Quantum Automata.

Wenjing Chu, Shuo Chen, Marcello M. Bonsangue, Zenglin Shi

Proceedings of the Theoretical Aspects of Software Engineering, 2023

DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction.

Cong Wang, Xiaofeng Cao, Lanzhe Guo, Zenglin Shi

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images.

Mingshu Wang, Zheyan Chen, Helena Hang Rong, Lan Mu, Pengyu Zhu, Zenglin Shi

Comput. Environ. Urban Syst., 2022

DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering.

Shizhe Hu, Zenglin Shi, Yangdong Ye

IEEE Trans. Cybern., 2022

On Measuring and Controlling the Spectral Bias of the Deep Image Prior.

Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek

Int. J. Comput. Vis., 2022

Reason from Context with Self-supervised Learning.

Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang

CoRR, 2022

On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning.

Zenglin Shi, Ying Sun, Joo Hwee Lim, Mengmi Zhang

CoRR, 2022

Non-local Attention Improves Description Generation for Retinal Images.

Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Unsharp Mask Guided Filtering.

Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek

IEEE Trans. Image Process., 2021

Correction to "Nonlinear Regression via Deep Negative Correlation Learning".

Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Nonlinear Regression via Deep Negative Correlation Learning.

Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Ordered or Orderless: A Revisit for Video Based Person Re-Identification.

Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Frequency-Supervised MR-to-CT Image Synthesis.

Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Social Fabric: Tubelet Compositions for Video Relation Detection.

Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.

Xiaofeng Cao, Baozhi Qiu, Xiangli Li, Zenglin Shi, Guandong Xu, Jianliang Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Robust Regression via Deep Negative Correlation Learning.

Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng

CoRR, 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang

CoRR, 2019

Counting With Focus for Free.

Zenglin Shi, Pascal Mettes, Cees Snoek

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Collective Density Clustering for Coherent Motion Detection.

Yunpeng Wu, Yangdong Ye, Chenyang Zhao, Zenglin Shi

IEEE Trans. Multim., 2018

Multiscale Multitask Deep NetVLAD for Crowd Counting.

Zenglin Shi, Le Zhang, Yibo Sun, Yangdong Ye

IEEE Trans. Ind. Informatics, 2018

基于卷积特征的非平衡人群密度估计方法 (Unbalanced Crowd Density Estimation Based on Convolutional Features).

Jia Qu, Zenglin Shi, Yangdong Ye

计算机科学, 2018

Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images.

Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Crowd Counting With Deep Negative Correlation Learning.

Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Rank-based pooling for deep convolutional neural networks.

Zenglin Shi, Yangdong Ye, Yunpeng Wu

Neural Networks, 2016