Jun Han
University of Notre Dame
H-index: 16
North America-United States
Top articles of Jun Han
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-based Implicit Neural Representation | IEEE Transitions on Visualization and Computer Graphics | Jun Han Hao Zheng Chongke Bi | 2024 |
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network | IEEE Transactions on Visualization and Computer Graphics | Jun Han Chaoli Wang | 2023/12 |
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit | Xueyao Zhang Liumeng Xue Yuancheng Wang Yicheng Gu Xi Chen | 2023/12/15 | |
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization | IEEE Transactions on Visualization and Computer Graphics | Chaoli Wang Jun Han | 2023/8 |
GMT: A Deep Learning Approach to Generalized Multivariate Translation for Scientific Data Analysis and Visualization | Computers & Graphics | Siyuan Yao Jun Han Chaoli Wang | 2023/5 |
VCNet: A generative model for volume completion | Visual Informatics | Jun Han Chaoli Wang | 2022/6 |
SurfNet: Learning surface representations via graph convolutional network | Computer Graphics Forum | Jun Han Chaoli Wang | 2022/6 |
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes | IEEE Transactions on Visualization and Computer Graphics | Jun Han Hao Zheng Danny Z Chen Chaoli Wang | 2022/1 |
Scalar2Vec: Translating scalar fields to vector fields via deep learning | Pengfei Gu Jun Han Danny Z Chen Chaoli Wang | 2022/4/11 | |
TSR-VFD: Generating temporal super-resolution for unsteady vector field data | Computers & Graphics | Jun Han Chaoli Wang | 2022/4 |
Deep learning-based upscaling for in situ volume visualization | Sebastian Weiss Jun Han Chaoli Wang Rüdiger Westermann | 2022/5 | |
SSR-TVD: Spatial Super-resolution for Time-Varying Data Analysis and Visualization | IEEE Transactions on Visualization and Computer Graphics | Jun Han Chaoli Wang | 2022/6 |
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data | IEEE Transactions on Visualization and Computer Graphics | Jun Han Hao Zheng Yunhao Xing Danny Z Chen Chaoli Wang | 2021/2 |
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation | Hao Zheng Jun Han Hongxiao Wang Lin Yang Zhuo Zhao | 2021/9 | |
VolumeVisual: Design and Evaluation of an Educational Software Tool for Teaching and Learning Volume Visualization | Xueyi Bao Jun Han Chaoli Wang | 2021/7 | |
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising | IEEE Computer Graphics and Applications | Pengfei Gu Jun Han Danny Z Chen Chaoli Wang | 2021/6/16 |
SSR-VFD: Spatial Super-resolution For Vector Field Data Analysis and Visualization | Proceedings of IEEE Pacific Visualization Symposium | Li Guo Shaojie Ye Jun Han Hao Zheng Han Gao | 2020/6 |
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream Surfaces | IEEE Transactions on Visualization and Computer Graphics | Jun Han Jun Tao Chaoli Wang | 2020/4 |
LINS: Lidar-Inertial State Estimator for Robust and Efficient Navigation | Chao Qin Haoyang Ye Christian Edwin Pranata Jun Han Shuyang Zhang | 2020 | |
TSR-TVD: Temporal Super-resolution for Time-varying Data Analysis and Visualization | IEEE Transactions on Visualization and Computer Graphics | Jun Han Chaoli Wang | 2020/1 |
Co-Authors
