Zhen Zhang

According to our database, Zhen Zhang authored at least 33 papers between 2011 and 2024.

Collaborative distances:

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

2024

Identifiable Latent Neural Causal Models.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2024

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models.

Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2024

2023

Human Interaction Understanding With Consistency-Aware Learning.

Jiajun Meng, Zhenhua Wang, Kaining Ying, Jianhua Zhang, Dongyan Guo, Zhen Zhang, Javen Qinfeng Shi, Shengyong Chen

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring.

Qingsen Yan, Dong Gong, Pei Wang, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi

IEEE Trans. Image Process., 2023

Identifiable Latent Polynomial Causal Models Through the Lens of Change.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2023

2022

Identifying Latent Causal Content for Multi-Source Domain Adaptation.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi

CoRR, 2022

Weight-variant Latent Causal Models.

Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

CoRR, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.

Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Lightweight Network for High Dynamic Range Imaging.

Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results.

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs.

Yujiao Hu, Zhen Zhang, Yuan Yao, Xingpeng Huyan, Xingshe Zhou, Wee Sun Lee

Eng. Appl. Artif. Intell., 2021

Memory-augmented Dynamic Neural Relational Inference.

Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel

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

2020

Learning Deep Gradient Descent Optimization for Image Deconvolution.

Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Factor Graph Neural Networks.

Zhen Zhang, Fan Wu, Wee Sun Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multiplicative Gaussian Particle Filter.

Xuan Su, Wee Sun Lee, Zhen Zhang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition.

Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Adaptive Markov Random Field for Structured Compressive Sensing.

Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi

IEEE Trans. Image Process., 2019

Factor Graph Neural Network.

Zhen Zhang, Fan Wu, Wee Sun Lee

CoRR, 2019

Deep Graphical Feature Learning for the Feature Matching Problem.

Zhen Zhang, Wee Sun Lee

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

2018

Learning an Optimizer for Image Deconvolution.

Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang

CoRR, 2018

Convolutional Sequence to Sequence Model for Human Dynamics.

Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee

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

2017

Real-Time Correlation Filter Tracking by Efficient Dense Belief Propagation With Structure Preserving.

Rui Yao, Shixiong Xia, Zhen Zhang, Yanning Zhang

IEEE Trans. Multim., 2017

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching.

Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties.

Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Pairwise Matching through Max-Weight Bipartite Belief Propagation.

Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Joint Probabilistic Matching Using m-Best Solutions.

Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Joint Probabilistic Data Association Revisited.

Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning graph structure for multi-label image classification via clique generation.

Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Variable kernel density estimation based robust regression and its applications.

Zhen Zhang, Yanning Zhang

Neurocomputing, 2014

2013

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations.

Zhen Zhang, Qinfeng Shi, Yanning Zhang, Chunhua Shen, Anton van den Hengel

CoRR, 2013

2011

Generalized Kernel Density Estimation Based Robust Estimator and Its Application.

Zhen Zhang, Yanning Zhang, Rui Yao, Haisen Li, Yu Zhu

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

Faint Moving Object Detection in Optical Astronomical Image Using a 2D-1D IUWT.

Rui Yao, Feng Duan, Zhen Zhang, Yongpeng Zhang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

A robust smear removal method for inter-frame Charge-Coupled Device star images.

Jianwei Gao, Zhen Zhang, Rui Yao, Jinqiu Sun, Yanning Zhang

Proceedings of the Seventh International Conference on Natural Computation, 2011