Fast and space-efficient virtual machine checkpointing. - Eunbyung Park; Bernhard Egger 002; Jaejin Lee (VEE, 2011)

Visual Madlibs: Fill in the Blank Description Generation and Question Answering. - Licheng Yu; Eunbyung Park; Alexander C. Berg; Tamara L. Berg (ICCV, 2015)

Learning to decompose for object detection and instance segmentation. - Eunbyung Park; Alexander C. Berg (CoRR, 2015)

Visual Madlibs: Fill in the blank Image Generation and Question Answering. - Licheng Yu; Eunbyung Park; Alexander C. Berg; Tamara L. Berg (CoRR, 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)

Registration of Pathological Images. - Xiao Yang 002; Xu Han 009; Eunbyung Park; Stephen R. Aylward; Roland Kwitt; Marc Niethammer (SASHIMI@MICCAI, 2016)

Combining multiple sources of knowledge in deep CNNs for action recognition. - Eunbyung Park; Xufeng Han; Tamara L. Berg; Alexander C. Berg (WACV, 2016)

Efficient Checkpointing of Live Virtual Machines. - Bernhard Egger 002; Younghyun Cho; Changyeon Jo; Eunbyung Park; Jaejin Lee (IEEE Trans. Computers, 2016)

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis. - Eunbyung Park; Jimei Yang; Ersin Yumer; Duygu Ceylan; Alexander C. Berg (CVPR, 2017)

A dataset for developing and benchmarking active vision. - Phil Ammirato; Patrick Poirson; Eunbyung Park; Jana Kosecka; Alexander C. Berg (ICRA, 2017)

An Evaluation of the NVIDIA TX1 for Supporting Real-Time Computer-Vision Workloads. - Nathan Otterness; Ming Yang 036; Sarah Rust; Eunbyung Park; James H. Anderson; F. Donelson Smith; Alexander C. Berg; Shige Wang (RTAS, 2017)

Three years of low-power image recognition challenge: Introduction to special session. - Kent Gauen; Ryan Dailey; Yung-Hsiang Lu; Eunbyung Park; Wei Liu 015; Alexander C. Berg; Yiran Chen 001 (DATE, 2018)

Meta-tracker: Fast and Robust Online Adaptation for Visual Object Trackers. - Eunbyung Park; Alexander C. Berg (ECCV (3), 2018)

2018 Low-Power Image Recognition Challenge. - Sergei Alyamkin; Matthew Ardi; Achille Brighton; Alexander C. Berg; Yiran Chen 001; Hsin-Pai Cheng; Bo Chen 019; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Jongkook Go; et al. (CoRR, 2018)

Meta-Curvature. - Eunbyung Park; Junier B. Oliva (NeurIPS, 2019)

Low-Power Computer Vision: Status, Challenges, Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (CoRR, 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, and Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Learning to Adapt from Few Examples. - Eunbyung Park (2019)

Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video. - Youngjoong Kwon; Stefano Petrangeli; Dahun Kim; Haoliang Wang; Eunbyung Park; Viswanathan Swaminathan 001; Henry Fuchs (ECCV (4), 2020)

Neural Residual Flow Fields for Efficient Video Representations. - Daniel Rho; Junwoo Cho; Jong Hwan Ko; Eunbyung Park (ACCV (2), 2022)

Streamable Neural Fields. - Junwoo Cho; Seungtae Nam; Daniel Rho; Jong Hwan Ko; Eunbyung Park (ECCV (20), 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)

PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers. - Namgyu Kang; Byeonghyeon Lee; Youngjoon Hong; Seok-Bae Yun; Eunbyung Park (AAAI, 2023)

SMPConv: Self-Moving Point Representations for Continuous Convolution. - Sanghyeon Kim; Eunbyung Park (CVPR, 2023)

Masked Wavelet Representation for Compact Neural Radiance Fields. - Daniel Rho; Byeonghyeon Lee; Seungtae Nam; Joo Chan Lee; Jong Hwan Ko; Eunbyung Park (CVPR, 2023)

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. - Joo Chan Lee; Daniel Rho; Jong Hwan Ko; Eunbyung Park (ACM Multimedia, 2023)

Separable Physics-Informed Neural Networks. - Junwoo Cho; Seungtae Nam; Hyunmo Yang; Seok-Bae Yun; Youngjoon Hong; Eunbyung Park (NeurIPS, 2023)

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields. - Seungtae Nam; Daniel Rho; Jong Hwan Ko; Eunbyung Park (NeurIPS, 2023)

Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning. - Sanghyeon Kim; Hyunmo Yang; Younghyun Kim; Youngjoon Hong; Eunbyung Park (CoRR, 2023)

Parameter-Efficient Instance-Adaptive Neural Video Compression. - Seungjun Oh; Hyunmo Yang; Eunbyung Park (ACCV (3), 2024)

Compact 3D Gaussian Representation for Radiance Field. - Joo Chan Lee; Daniel Rho; Xiangyu Sun; Jong Hwan Ko; Eunbyung Park (CVPR, 2024)

Residual Learning in Diffusion Models. - Junyu Zhang; Daochang Liu; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (CVPR, 2024)

Continuous Memory Representation for Anomaly Detection. - Joo Chan Lee; Taejune Kim; Eunbyung Park; Simon S. Woo; Jong Hwan Ko (ECCV (51), 2024)

Deblurring 3D Gaussian Splatting. - Byeonghyeon Lee; Howoong Lee; Xiangyu Sun; Usman Ali 006; Eunbyung Park (ECCV (58), 2024)

FREQ-MIP-AA: Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields. - Youngin Park; Seungtae Nam; Cheul-Hee Hahm; Eunbyung Park (ICIP, 2024)

Coordinate-Aware Modulation for Neural Fields. - Joo Chan Lee; Daniel Rho; Seungtae Nam; Jong Hwan Ko; Eunbyung Park (ICLR, 2024)

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting. - Xiangyu Sun; Joo Chan Lee; Daniel Rho; Jong Hwan Ko; Usman Ali 006; Eunbyung Park (ACM Multimedia, 2024)

Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields using Sharpness Prior. - Byeonghyeon Lee; Howoong Lee; Usman Ali; Eunbyung Park (WACV, 2024)

Deblurring 3D Gaussian Splatting. - Byeonghyeon Lee; Howoong Lee; Xiangyu Sun; Usman Ali; 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)

DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance. - Younghyun Kim; Geunmin Hwang; Eunbyung Park (CoRR, 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)

MetaFormer: High-fidelity Metalens Imaging via Aberration Correcting Transformers. - Byeonghyeon Lee; Youbin Kim; Yongjae Jo; Hyunsu Kim; Hyemi Park; Yangkyu Kim; Debabrata Mandal; Praneeth Chakravarthula; Inki Kim; Eunbyung Park (CoRR, 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)

CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis. - Gyeongjin Kang; Younggeun Lee; Seungjun Oh; Eunbyung Park (AAAI, 2025)

DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance. - Younghyun Kim; Geunmin Hwang; Junyu Zhang; Eunbyung Park (AAAI, 2025)

Sequence Matters: Harnessing Video Models in 3D Super-Resolution. - Hyun-kyu Ko; Dongheok Park; Youngin Park; Byeonghyeon Lee; Juhee Han; Eunbyung Park (AAAI, 2025)

SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting. - Gyeongjin Kang; Jisang Yoo; Jihyeon Park; Seungtae Nam; Hyeonsoo Im; Sangheon Shin; Sangpil Kim; Eunbyung Park (CVPR, 2025)

EditSplat: Multi-View Fusion and Attention-Guided Optimization for View-Consistent 3D Scene Editing with 3D Gaussian Splatting. - Dong In Lee; Hyeongcheol Park; Jiyoung Seo; Eunbyung Park; Hyunje Park; Hadam Baek; Sangheon Shin; Sangmin Kim; Sangpil Kim (CVPR, 2025)

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction. - Seungtae Nam; Xiangyu Sun; Gyeongjin Kang; Younggeun Lee; Seungjun Oh; Eunbyung Park (CVPR, 2025)

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations. - Namgyu Kang; Jaemin Oh; Youngjoon Hong; Eunbyung Park (ICLR, 2025)

Anti-Exposure Bias in Diffusion Models. - Junyu Zhang; Daochang Liu; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (ICLR, 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)

Rethinking convolutional neural networks for trajectory refinement. - Hanbit Yoon; Usman Ali 006; Joonhee Choi; Eunbyung Park (Pattern Recognit., 2025)

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 (SIAM J. Sci. Comput., 2025)

Generative Physical AI in Vision: A Survey. - Daochang Liu; Junyu Zhang; Anh-Dung Dinh; Eunbyung Park; Shichao Zhang 001; Chang Xu 002 (CoRR, 2025)

CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting. - Sumin In; Youngdong Jang; Utae Jeong; MinHyuk Jang; Hyeongcheol Park; Eunbyung Park; Sangpil Kim (CoRR, 2025)

Optimized Minimal 3D Gaussian Splatting. - Joo Chan Lee; Jong Hwan Ko; Eunbyung Park (CoRR, 2025)

Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene Representation. - Seungjun Oh; Younggeun Lee; Hyejin Jeon; Eunbyung Park (CoRR, 2025)

DiffuseSlide: Training-Free High Frame Rate Video Generation Diffusion. - Geunmin Hwang; Hyun-kyu Ko; Younghyun Kim; Seungryong Lee; Eunbyung Park (CoRR, 2025)

Moiré Zero: An Efficient and High-Performance Neural Architecture for Moiré Removal. - Seungryong Lee; Woojeong Baek; Younghyun Kim; Eunwoo Kim; Haru Moon; Donggon Yoo; Eunbyung Park (CoRR, 2025)

iLRM: An Iterative Large 3D Reconstruction Model. - Gyeongjin Kang; Seungtae Nam; Xiangyu Sun; Sameh Khamis; Abdelrahman Mohamed; Eunbyung Park (CoRR, 2025)

Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images. - Xiangyu Sun; Haoyi Jiang; Liu Liu; Seungtae Nam; Gyeongjin Kang; Xinjie Wang; Wei Sui; Zhizhong Su; Wenyu Liu 001; Xinggang Wang; Eunbyung Park (CoRR, 2025)