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Jun Han

IEEE transactions on visualization and computer graphics

Showing results (1-10 of 15) with videos related to

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IEEE Transactions on Visualization and Computer Graphics|January 22, 2026
A Few-Shot Learning Framework for Time-Varying Scientific Data Generation Via Conditional Diffusion ModelJun Han
IEEE Transactions on Visualization and Computer Graphics|October 19, 2020
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and VisualizationJun Han, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|August 20, 2019
TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and VisualizationJun Han, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|August 8, 2022
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural NetworkJun Han, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|April 19, 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific VisualizationChaoli Wang, Jun Han
IEEE Transactions on Visualization and Computer Graphics|April 25, 2025
DCINR: a Divide-and-Conquer Implicit Neural Representation for Compressing Time-Varying Volumetric Data in HoursJun Han, Fan Yang
IEEE Transactions on Visualization and Computer Graphics|July 10, 2025
A Study of Data Augmentation for Learning-Driven Scientific VisualizationJun Han, Hao Zheng, Jun Tao
IEEE Transactions on Visualization and Computer Graphics|November 21, 2025
MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data CompressionJun Han, Kaiyuan Tang, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|November 13, 2018
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream SurfacesJun Han, Jun Tao, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|December 21, 2023
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural RepresentationJun Han, Hao Zheng, Chongke Bi
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Visualization and Computer Graphics|January 22, 2026
A Few-Shot Learning Framework for Time-Varying Scientific Data Generation Via Conditional Diffusion ModelJun Han
IEEE Transactions on Visualization and Computer Graphics|October 19, 2020
SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and VisualizationJun Han, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|August 20, 2019
TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and VisualizationJun Han, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|August 8, 2022
CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural NetworkJun Han, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|April 19, 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific VisualizationChaoli Wang, Jun Han
IEEE Transactions on Visualization and Computer Graphics|April 25, 2025
DCINR: a Divide-and-Conquer Implicit Neural Representation for Compressing Time-Varying Volumetric Data in HoursJun Han, Fan Yang
IEEE Transactions on Visualization and Computer Graphics|July 10, 2025
A Study of Data Augmentation for Learning-Driven Scientific VisualizationJun Han, Hao Zheng, Jun Tao
IEEE Transactions on Visualization and Computer Graphics|November 21, 2025
MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data CompressionJun Han, Kaiyuan Tang, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|November 13, 2018
FlowNet: A Deep Learning Framework for Clustering and Selection of Streamlines and Stream SurfacesJun Han, Jun Tao, Chaoli Wang
IEEE Transactions on Visualization and Computer Graphics|December 21, 2023
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural RepresentationJun Han, Hao Zheng, Chongke Bi
Pageof 2