Junhwa Hur

According to our database, Junhwa Hur authored at least 26 papers between 2013 and 2024.

Collaborative distances:

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

2024

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion.

Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun

CoRR, 2024

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang

CoRR, 2024

Lumiere: A Space-Time Diffusion Model for Video Generation.

Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri

CoRR, 2024

Boundary Attention: Learning to Find Faint Boundaries at Any Resolution.

Mia Gaia Polansky, Charles Herrmann, Junhwa Hur, Deqing Sun, Dor Verbin, Todd E. Zickler

CoRR, 2024

Lumiere: A Space-Time Diffusion Model for Video Generation.

Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Guanghui Liu, Amit Raj, Yuanzhen Li, Michael Rubinstein, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

WonderJourney: Going from Anywhere to Everywhere.

Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann

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

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence.

Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

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

2023

RAFT-MSF: Self-Supervised Monocular Scene Flow Using Recurrent Optimizer.

Bayram Bayramli, Junhwa Hur, Hongtao Lu

Int. J. Comput. Vis., 2023

Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model.

Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David J. Fleet

CoRR, 2023

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence.

Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

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

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.

Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet

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

Self-supervised AutoFlow.

Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun

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

2022

Joint Motion, Semantic Segmentation, Occlusion, and Depth Estimation.

Junhwa Hur

PhD thesis, 2022

Self-supervised surround-view depth estimation with volumetric feature fusion.

Jung-Hee Kim, Junhwa Hur, Tien Phuoc Nguyen, Seong-Gyun Jeong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects.

Junho Lee, Junhwa Hur, Inwoo Hwang, Young Min Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Self-Supervised Multi-Frame Monocular Scene Flow.

Junhwa Hur, Stefan Roth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Optical Flow Estimation in the Deep Learning Age.

Junhwa Hur, Stefan Roth

CoRR, 2020

Self-Supervised Monocular Scene Flow Estimation.

Junhwa Hur, Stefan Roth

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation.

Junhwa Hur, Stefan Roth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.

Simon Meister, Junhwa Hur, Stefan Roth

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation.

Junhwa Hur, Stefan Roth

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Joint Optical Flow and Temporally Consistent Semantic Segmentation.

Junhwa Hur, Stefan Roth

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation.

Junhwa Hur, Hwasup Lim, Changsoo Park, Sang Chul Ahn

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multi-lane detection based on accurate geometric lane estimation in highway scenarios.

Seung-Nam Kang, Soomok Lee, Junhwa Hur, Seung-Woo Seo

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

3D Deformable Spatial Pyramid for Dense 3D Motion Flow of Deformable Object.

Junhwa Hur, Hwasup Lim, Sang Chul Ahn

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

2013

Multi-lane detection in urban driving environments using conditional random fields.

Junhwa Hur, Seung-Nam Kang, Seung-Woo Seo

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013