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2020 – today
- 2025
[j5]Hanbit Yoon
, Usman Ali, Joonhee Choi, Eunbyung Park:
Rethinking convolutional neural networks for trajectory refinement. Pattern Recognit. 157: 110883 (2025)- 2024
- [j4]Sanghyeon Kim, Hyunmo Yang, Yunghyun Kim, Youngjoon Hong, Eunbyung Park:
Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning. Neural Networks 178: 106414 (2024) - [c24]Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu:
Residual Learning in Diffusion Models. CVPR 2024: 7289-7299 - [c23]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Representation for Radiance Field. CVPR 2024: 21719-21728 - [c22]Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park:
Coordinate-Aware Modulation for Neural Fields. ICLR 2024 - [c21]Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park:
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. ACM Multimedia 2024: 7957-7965 - [c20]Byeonghyeon Lee, Howoong Lee, Usman Ali, Eunbyung Park:
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields using Sharpness Prior. WACV 2024: 3697-3706 - [i30]Byeonghyeon Lee, Howoong Lee, Usman Ali, Eunbyung Park:
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior. CoRR abs/2401.00825 (2024) - [i29]Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, Eunbyung Park:
Deblurring 3D Gaussian Splatting. CoRR abs/2401.00834 (2024) - [i28]Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. CoRR abs/2402.14196 (2024) - [i27]Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko:
Continuous Memory Representation for Anomaly Detection. CoRR abs/2402.18293 (2024) - [i26]Jaemin Oh, Seung-Yeon Cho, Seok-Bae Yun, Eunbyung Park, Youngjoon Hong:
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation. CoRR abs/2403.06342 (2024) - [i25]Gyeongjin Kang, Younggeun Lee, Eunbyung Park:
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis. CoRR abs/2404.04913 (2024) - [i24]Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park:
F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. CoRR abs/2405.17083 (2024) - [i23]Youngin Park, Seungtae Nam, Cheul-hee Hahm, Eunbyung Park:
Freq-Mip-AA : Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields. CoRR abs/2406.13251 (2024) - [i22]Younghyun Kim, Geunmin Hwang, Eunbyung Park:
DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance. CoRR abs/2406.18459 (2024) - [i21]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields. CoRR abs/2408.03822 (2024) - 2023
- [c19]Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park:
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. AAAI 2023: 8186-8194 - [c18]Sanghyeon Kim, Eunbyung Park:
SMPConv: Self-Moving Point Representations for Continuous Convolution. CVPR 2023: 10289-10299 - [c17]Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Masked Wavelet Representation for Compact Neural Radiance Fields. CVPR 2023: 20680-20690 - [c16]Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. ACM Multimedia 2023: 7859-7870 - [c15]Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park:
Separable Physics-Informed Neural Networks. NeurIPS 2023 - [c14]Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. NeurIPS 2023 - [i20]Sanghyeon Kim, Eunbyung Park:
SMPConv: Self-moving Point Representations for Continuous Convolution. CoRR abs/2304.02330 (2023) - [i19]Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park:
Separable Physics-Informed Neural Networks. CoRR abs/2306.15969 (2023) - [i18]Sanghyeon Kim, Hyunmo Yang, Younghyun Kim, Youngjoon Hong, Eunbyung Park:
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning. CoRR abs/2309.06922 (2023) - [i17]Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park:
Compact 3D Gaussian Representation for Radiance Field. CoRR abs/2311.13681 (2023) - [i16]Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park:
Coordinate-Aware Modulation for Neural Fields. CoRR abs/2311.14993 (2023) - 2022
- [c13]Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park:
Neural Residual Flow Fields for Efficient Video Representations. ACCV (2) 2022: 458-474 - [c12]Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Streamable Neural Fields. ECCV (20) 2022: 595-612 - [i15]Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park:
Neural Residual Flow Fields for Efficient Video Representations. CoRR abs/2201.04329 (2022) - [i14]Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
Streamable Neural Fields. CoRR abs/2207.09663 (2022) - [i13]Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park:
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. CoRR abs/2207.12800 (2022) - [i12]Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park:
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks. CoRR abs/2211.08761 (2022) - [i11]Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Masked Wavelet Representation for Compact Neural Radiance Fields. CoRR abs/2212.09069 (2022) - [i10]Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. CoRR abs/2212.12294 (2022) - 2020
- [c11]Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs:
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video. ECCV (4) 2020: 387-402
2010 – 2019
- 2019
- [b1]Eunbyung Park:
Learning to Adapt from Few Examples. University of North Carolina, Chapel Hill, USA, 2019 - [j3]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:
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 411-421 (2019) - [c10]Eunbyung Park, Junier B. Oliva:
Meta-Curvature. NeurIPS 2019: 3309-3319 - [i9]Eunbyung Park, Junier B. Oliva:
Meta-Curvature. CoRR abs/1902.03356 (2019) - [i8]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:
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR abs/1904.07714 (2019) - [i7]John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami:
Unsupervised Doodling and Painting with Improved SPIRAL. CoRR abs/1910.01007 (2019) - 2018
- [c9]Kent Gauen, Ryan Dailey, Yung-Hsiang Lu, Eunbyung Park, Wei Liu, Alexander C. Berg, Yiran Chen:
Three years of low-power image recognition challenge: Introduction to special session. DATE 2018: 700-703 - [c8]Eunbyung Park, Alexander C. Berg:
Meta-tracker: Fast and Robust Online Adaptation for Visual Object Trackers. ECCV (3) 2018: 587-604 - [i6]Eunbyung Park, Alexander C. Berg:
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers. CoRR abs/1801.03049 (2018) - [i5]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:
2018 Low-Power Image Recognition Challenge. CoRR abs/1810.01732 (2018) - 2017
- [c7]Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg:
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis. CVPR 2017: 702-711 - [c6]Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg:
A dataset for developing and benchmarking active vision. ICRA 2017: 1378-1385 - [c5]Nathan Otterness, Ming Yang, Sarah Rust, Eunbyung Park, James H. Anderson, F. Donelson Smith, Alexander C. Berg, Shige Wang:
An Evaluation of the NVIDIA TX1 for Supporting Real-Time Computer-Vision Workloads. RTAS 2017: 353-364 - [i4]Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg:
A Dataset for Developing and Benchmarking Active Vision. CoRR abs/1702.08272 (2017) - [i3]Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg:
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis. CoRR abs/1703.02921 (2017) - 2016
- [j2]Bernhard Egger, Younghyun Cho, Changyeon Jo, Eunbyung Park, Jaejin Lee:
Efficient Checkpointing of Live Virtual Machines. IEEE Trans. Computers 65(10): 3041-3054 (2016) - [c4]Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Registration of Pathological Images. SASHIMI@MICCAI 2016: 97-107 - [c3]Eunbyung Park, Xufeng Han, Tamara L. Berg, Alexander C. Berg:
Combining multiple sources of knowledge in deep CNNs for action recognition. WACV 2016: 1-8 - 2015
- [j1]Nilton Bila, Eric J. Wright, Eyal de Lara, Kaustubh R. Joshi, H. Andrés Lagar-Cavilla, Eunbyung Park, Ashvin Goel, Matti A. Hiltunen, Mahadev Satyanarayanan:
Energy-Oriented Partial Desktop Virtual Machine Migration. ACM Trans. Comput. Syst. 33(1): 2:1-2:51 (2015) - [c2]Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg:
Visual Madlibs: Fill in the Blank Description Generation and Question Answering. ICCV 2015: 2461-2469 - [i2]Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg:
Visual Madlibs: Fill in the blank Image Generation and Question Answering. CoRR abs/1506.00278 (2015) - [i1]Eunbyung Park, Alexander C. Berg:
Learning to decompose for object detection and instance segmentation. CoRR abs/1511.06449 (2015) - 2011
- [c1]Eunbyung Park, Bernhard Egger, Jaejin Lee:
Fast and space-efficient virtual machine checkpointing. VEE 2011: 75-86
Coauthor Index
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