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

Gyeongjin Kang*, Younggeun Lee*, Eunbyung Park

arXiv:2404.04913

[Paper] [Project Page] [Code coming soon!]

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

arXiv:2403.06342

[Paper]

Continuous Memory Representation for Anomaly Detection

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

arXiv:2402.18293

[Paper] [Project Page] [Code]

Deblurring 3D Gaussian Splatting

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

arXiv:2401.00834

[Paper] [Project Page] [Code coming soon!]

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

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

arXiv:2309.06922

[Paper] [Code]

Compact 3D Gaussian Representation for Radiance Field

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

The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024

Highlight! (acceptance rate = 2.8%)

[Paper] [Project Page] [Code]

Residual Learning in Diffusion Models

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

The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024

Highlight! (acceptance rate = 2.8%)

[Paper coming soon!] [Code coming soon!]

Coordinate-Aware Modulation for Neural Fields

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

International Conference on Learning Representations, ICLR 2024

Spotlight! (acceptance rate = 5.01%)

[Paper] [Project Page] [Code]

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

Byeonghyeon Lee*, Howoong Lee*, Usman Ali, Eunbyung Park

The IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024

[Paper] [Project Page] [Code]

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

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

Neural Information Processing Systems, NeurIPS 2023

[Paper] [Project Page] [Code]

Separable Physics-Informed Neural Networks

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

Neural Information Processing Systems, NeurIPS 2023

Spotlight! (acceptance rate = 3.06%)

[Paper] [Project Page] [Code] [NeurIPS DLDE 2022 Workshop Paper] [Recorded talk]

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos

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

The ACM International Conference on Multimedia, ACM MM 2023

[Paper] [Project Page] [Code]

Masked Wavelet Representation for Compact Neural Radiance Fields

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

The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023

[Paper] [Project Page] [Code]

SMPConv: Self-Moving Point Representations for Continuous Convolution

Sanghyeon Kim, Eunbyung Park

The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023

[Paper] [Code]

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

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

The 37th AAAI Conference on Artificial Intelligence, AAAI 2023

The Symbiosis of Deep Learning and Differential Equations, NeurIPS 2022 Workshop Spotlight!

[Paper] [Project Page] [Code]

Streamable Neural Fields

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

European Conference on Computer Vision, ECCV 2022

[Paper] [Code]

Neural Residual Flow Fields for Efficient Video Representations

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

Asian Conference on Computer Vision, ACCV 2022

[Paper] [Code]

Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video

YoungJoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Vishy Swaminathan, Henry Fuchs

European Conference on Computer Vision, ECCV 2020

[Paper]

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

Machine Learning for Creativity and Design, NeurIPS 2019 Workshop

[Paper] [Animated Paper]

Meta-Curvature

Eunbyung Park, Junier B. Oliva

Neural Information Processing Systems, NeurIPS 2019

[Paper] [Code]

Three years of Low-Power Image Recognition Challenge

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

Design, Automation and Test in Europe Conference, DATE 2018 Exhibition

[Paper]

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

Eunbyung Park, Alexander C. Berg

European Conference on Computer Vision, ECCV 2018

[Paper] [Code]

A Dataset for Developing and Benchmarking Active Vision

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

International Conference on Robotics and Automation, ICRA 2017

[Paper] [Project Page]

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

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

The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2017

[Paper] [Project Page] [Code]

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

Real-Time and Embedded Technology and Applications Symposium, RTAS 2017

[Paper]

Registration of Pathological Images

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

Simulation an Synthesis in Medical Imaging, MICCAI 2016 Workshop

[Paper]

Learning to Decompose for Object Detection and Instance Segmentation

Eunbyung Park, Alexander C. Berg

International Conference on Learning Representations, ICLR 2016 Workshop

[Paper]

Combining Multiple Sources of Knowledge in Deep CNNs for Action Recognition

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

IEEE Winter Conference on Applications of Computer Vision, WACV 2016

[Paper]

Visual Madlibs: Fill-in-the-blank Image Description and Question Answering

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

International Conference on Computer Vision, ICCV 2015