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2020 – today
- 2024
[j7]Guangyu Wang
, Jinzhi Zhang, Kai Zhang, Ruqi Huang, Lu Fang:
GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 338-353 (2024)- [j6]Jinzhi Zhang, Luyao Wang, Fuzhong Zheng, Xu Wang, Haisu Zhang:
An Enhanced Feature Extraction Framework for Cross-Modal Image-Text Retrieval. Remote. Sens. 16(12): 2201 (2024) - [j5]Dasui Li, Qingqing Hu, Jinzhi Zhang, Yuanyong Dian, Chun-Gen Hu, Jingjing Zhou:
Leaf Nitrogen and Phosphorus Variation and Estimation of Citrus Tree under Two Labor-Saving Cultivation Modes Using Hyperspectral Data. Remote. Sens. 16(17): 3261 (2024) - [c8]Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Lu Fang:
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning. CVPR 2024: 20612-20622 - [c7]Guangyu Wang, Jinzhi Zhang, Fan Wang, Ruqi Huang, Lu Fang:
XScale- NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold. CVPR 2024: 21029-21039 - [i7]Guangyu Wang, Jinzhi Zhang, Fan Wang, Ruqi Huang, Lu Fang:
XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold. CoRR abs/2403.19517 (2024) - [i6]Jinzhi Zhang, Feng Xiong, Mu Xu:
G3PT: Unleash the power of Autoregressive Modeling in 3D Generation via Cross-scale Querying Transformer. CoRR abs/2409.06322 (2024) - 2023
- [j4]Dasui Li, Qingqing Hu, Siqi Ruan, Jun Liu, Jinzhi Zhang, Chun-Gen Hu, Yongzhong Liu, Yuanyong Dian, Jingjing Zhou:
Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves. Remote. Sens. 15(20): 4934 (2023) - [c6]Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang:
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. ICCV 2023: 3735-3745 - [c5]Haiyang Ying, Baowei Jiang, Jinzhi Zhang, Di Xu, Tao Yu, Qionghai Dai, Lu Fang:
PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis. ICCV 2023: 17660-17670 - [i5]Yijie Deng, Lei Han, Tianpeng Lin, Lin Li, Jinzhi Zhang, Lu Fang:
EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent. CoRR abs/2307.03017 (2023) - [i4]Haiyang Ying, Baowei Jiang, Jinzhi Zhang, Di Xu, Tao Yu, Qionghai Dai, Lu Fang:
PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis. CoRR abs/2309.17190 (2023) - [i3]Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Lu Fang:
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning. CoRR abs/2311.11666 (2023) - 2022
- [j3]Jianing Zhang, Jinzhi Zhang, Shi Mao, Mengqi Ji, Guangyu Wang, Zequn Chen, Tian Zhang, Xiaoyun Yuan, Qionghai Dai, Lu Fang:
GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7534-7550 (2022) - [j2]Jinzhi Zhang, Mengqi Ji, Guangyu Wang, Zhiwei Xu, Shengjin Wang, Lu Fang:
SurRF: Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7912-7927 (2022) - [c4]Haiyang Ying, Jinzhi Zhang, Yuzhe Chen, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang:
ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis. ACM Multimedia 2022: 6113-6124 - [c3]Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang:
ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis. NeurIPS 2022 - 2021
- [j1]Mengqi Ji, Jinzhi Zhang, Qionghai Dai, Lu Fang:
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-View Stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4078-4093 (2021) - 2020
- [i2]Mengqi Ji, Jinzhi Zhang, Qionghai Dai, Lu Fang:
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis. CoRR abs/2005.12690 (2020)
2010 – 2019
- 2018
- [i1]Yi-Lin Tuan, Jinzhi Zhang, Yujia Li, Hung-yi Lee:
Proximal Policy Optimization and its Dynamic Version for Sequence Generation. CoRR abs/1808.07982 (2018) - 2017
- [c2]Jinzhi Zhang, Yuan Luo, Zihan Jiang, Xiaoying Tang:
Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer's Disease Using Multi-granularity Whole-Brain Segmentations. ICSH 2017: 202-213 - 2016
- [c1]Xiujuan Sun, Fa Zhang, Xiaohua Wan, Jinzhi Zhang:
aWGRS: Automates paired-end whole genome re-sequencing data analysis framework. BIBM 2016: 910-916
Coauthor Index
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