Eunbyung Park

According to our database, Eunbyung Park authored at least 46 papers between 2011 and 2025.

Collaborative distances:

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

2025

Rethinking convolutional neural networks for trajectory refinement.

Hanbit Yoon, Usman Ali, Joonhee Choi, Eunbyung Park

Pattern Recognit., 2025

Corrigendum to "Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning" [Neural Networks Volume 178, October (2024), 1-11/106414]].

Sanghyeon Kim, Hyunmo Yang, Younghyun Kim, Youngjoon Hong, Eunbyung Park

Neural Networks, 2025

2024

Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning.

Sanghyeon Kim, Hyunmo Yang, Yunghyun Kim, Youngjoon Hong, Eunbyung Park

Neural Networks, 2024

Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields.

Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park

CoRR, 2024

DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance.

Younghyun Kim, Geunmin Hwang, Eunbyung Park

CoRR, 2024

Freq-Mip-AA : Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields.

Youngin Park, Seungtae Nam, Cheul-hee Hahm, Eunbyung Park

CoRR, 2024

CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis.

Gyeongjin Kang, Younggeun Lee, Eunbyung Park

CoRR, 2024

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

Jaemin Oh, Seung-Yeon Cho, Seok-Bae Yun, Eunbyung Park, Youngjoon Hong

CoRR, 2024

Deblurring 3D Gaussian Splatting.

Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, Eunbyung Park

CoRR, 2024

Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields using Sharpness Prior.

Byeonghyeon Lee, Howoong Lee, Usman Ali, Eunbyung Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting.

Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Coordinate-Aware Modulation for Neural Fields.

Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Deblurring 3D Gaussian Splatting.

Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, Eunbyung Park

Proceedings of the Computer Vision - ECCV 2024, 2024

Continuous Memory Representation for Anomaly Detection.

Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko

Proceedings of the Computer Vision - ECCV 2024, 2024

Residual Learning in Diffusion Models.

Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Compact 3D Gaussian Representation for Radiance Field.

Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Sanghyeon Kim, Hyunmo Yang, Younghyun Kim, Youngjoon Hong, Eunbyung Park

CoRR, 2023

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields.

Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Separable Physics-Informed Neural Networks.

Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

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.

Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Masked Wavelet Representation for Compact Neural Radiance Fields.

Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SMPConv: Self-Moving Point Representations for Continuous Convolution.

Sanghyeon Kim, Eunbyung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers.

Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

CoRR, 2022

Streamable Neural Fields.

Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Residual Flow Fields for Efficient Video Representations.

Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park

Proceedings of the Computer Vision - ACCV 2022, 2022

2020

Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video.

Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning to Adapt from Few Examples.

Eunbyung Park

PhD thesis, 2019

Low-Power Computer Vision: Status, Challenges, and Opportunities.

Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Unsupervised Doodling and Painting with Improved SPIRAL.

John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami

CoRR, 2019

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

Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

CoRR, 2019

Meta-Curvature.

Eunbyung Park, Junier B. Oliva

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.

Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

CoRR, 2018

Meta-tracker: Fast and Robust Online Adaptation for Visual Object Trackers.

Eunbyung Park, Alexander C. Berg

Proceedings of the Computer Vision - ECCV 2018, 2018

Three years of low-power image recognition challenge: Introduction to special session.

Kent Gauen, Ryan Dailey, Yung-Hsiang Lu, Eunbyung Park, Wei Liu, Alexander C. Berg, Yiran Chen

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.

Nathan Otterness, Ming Yang, Sarah Rust, Eunbyung Park, James H. Anderson, F. Donelson Smith, Alexander C. Berg, Shige Wang

Proceedings of the 2017 IEEE Real-Time and Embedded Technology and Applications Symposium, 2017

A dataset for developing and benchmarking active vision.

Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis.

Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Efficient Checkpointing of Live Virtual Machines.

Bernhard Egger, Younghyun Cho, Changyeon Jo, Eunbyung Park, Jaejin Lee

IEEE Trans. Computers, 2016

Combining multiple sources of knowledge in deep CNNs for action recognition.

Eunbyung Park, Xufeng Han, Tamara L. Berg, Alexander C. Berg

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Registration of Pathological Images.

Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015

Energy-Oriented Partial Desktop Virtual Machine Migration.

Nilton Bila, Eric J. Wright, Eyal de Lara, Kaustubh R. Joshi, H. Andrés Lagar-Cavilla, Eunbyung Park, Ashvin Goel, Matti A. Hiltunen, Mahadev Satyanarayanan

ACM Trans. Comput. Syst., 2015

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

Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg

CoRR, 2015

Learning to decompose for object detection and instance segmentation.

Eunbyung Park, Alexander C. Berg

CoRR, 2015

Visual Madlibs: Fill in the Blank Description Generation and Question Answering.

Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2011

Fast and space-efficient virtual machine checkpointing.

Eunbyung Park, Bernhard Egger, Jaejin Lee

Proceedings of the 7th International Conference on Virtual Execution Environments, 2011