Jinzhi Zhang

According to our database, Jinzhi Zhang authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold.

Guangyu Wang, Jinzhi Zhang, Kai Zhang, Ruqi Huang, Lu Fang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold.

Guangyu Wang, Jinzhi Zhang, Fan Wang, Ruqi Huang, Lu Fang

CoRR, 2024

2023

Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves.

Dasui Li, Qingqing Hu, Siqi Ruan, Jun Liu, Jinzhi Zhang, Chun-Gen Hu, Yongzhong Liu, Yuanyong Dian, Jingjing Zhou

Remote. Sens., October, 2023

OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning.

Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Lu Fang

CoRR, 2023

EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent.

Yijie Deng, Lei Han, Tianpeng Lin, Lin Li, Jinzhi Zhang, Lu Fang

CoRR, 2023

PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis.

Haiyang Ying, Baowei Jiang, Jinzhi Zhang, Di Xu, Tao Yu, Qionghai Dai, Lu Fang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation.

Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction.

Jianing Zhang, Jinzhi Zhang, Shi Mao, Mengqi Ji, Guangyu Wang, Zequn Chen, Tian Zhang, Xiaoyun Yuan, Qionghai Dai, Lu Fang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SurRF: Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field.

Jinzhi Zhang, Mengqi Ji, Guangyu Wang, Zhiwei Xu, Shengjin Wang, Lu Fang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis.

Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang

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

ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis.

Haiyang Ying, Jinzhi Zhang, Yuzhe Chen, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-View Stereopsis.

Mengqi Ji, Jinzhi Zhang, Qionghai Dai, Lu Fang

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

2018

Proximal Policy Optimization and its Dynamic Version for Sequence Generation.

Yi-Lin Tuan, Jinzhi Zhang, Yujia Li, Hung-yi Lee

CoRR, 2018

2017

Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer's Disease Using Multi-granularity Whole-Brain Segmentations.

Jinzhi Zhang, Yuan Luo, Zihan Jiang, Xiaoying Tang

Proceedings of the Smart Health - International Conference, 2017

2016

aWGRS: Automates paired-end whole genome re-sequencing data analysis framework.

Xiujuan Sun, Fa Zhang, Xiaohua Wan, Jinzhi Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016