Eunbyung Park

Orcid: 0000-0003-4071-2814

According to our database1, Eunbyung Park authored at least 36 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation.
CoRR, 2024

Continuous Memory Representation for Anomaly Detection.
CoRR, 2024

Deblurring 3D Gaussian Splatting.
CoRR, 2024

Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields using Sharpness Prior.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Coordinate-Aware Modulation for Neural Fields.
CoRR, 2023

Compact 3D Gaussian Representation for Radiance Field.
CoRR, 2023

Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning.
CoRR, 2023

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Separable Physics-Informed Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Masked Wavelet Representation for Compact Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SMPConv: Self-Moving Point Representations for Continuous Convolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks.
CoRR, 2022

Streamable Neural Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Residual Flow Fields for Efficient Video Representations.
Proceedings of the Computer Vision - ACCV 2022, 2022

2020
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning to Adapt from Few Examples.
PhD thesis, 2019

Low-Power Computer Vision: Status, Challenges, and Opportunities.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Unsupervised Doodling and Painting with Improved SPIRAL.
CoRR, 2019

Low-Power Computer Vision: Status, Challenges, Opportunities.
CoRR, 2019

Meta-Curvature.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
2018 Low-Power Image Recognition Challenge.
CoRR, 2018

Meta-tracker: Fast and Robust Online Adaptation for Visual Object Trackers.
Proceedings of the Computer Vision - ECCV 2018, 2018

Three years of low-power image recognition challenge: Introduction to special session.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
An Evaluation of the NVIDIA TX1 for Supporting Real-Time Computer-Vision Workloads.
Proceedings of the 2017 IEEE Real-Time and Embedded Technology and Applications Symposium, 2017

A dataset for developing and benchmarking active vision.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Efficient Checkpointing of Live Virtual Machines.
IEEE Trans. Computers, 2016

Combining multiple sources of knowledge in deep CNNs for action recognition.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Registration of Pathological Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015
Energy-Oriented Partial Desktop Virtual Machine Migration.
ACM Trans. Comput. Syst., 2015

Visual Madlibs: Fill in the blank Image Generation and Question Answering.
CoRR, 2015

Learning to decompose for object detection and instance segmentation.
CoRR, 2015

Visual Madlibs: Fill in the Blank Description Generation and Question Answering.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2011
Fast and space-efficient virtual machine checkpointing.
Proceedings of the 7th International Conference on Virtual Execution Environments, 2011


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