Multi-lane detection in urban driving environments using conditional random fields. - Junhwa Hur; Seung-Nam Kang; Seung-Woo Seo (Intelligent Vehicles Symposium, 2013)

3D Deformable Spatial Pyramid for Dense 3D Motion Flow of Deformable Object. - Junhwa Hur; Hwasup Lim; Sang Chul Ahn (ISVC (1), 2014)

Multi-lane detection based on accurate geometric lane estimation in highway scenarios. - Seung-Nam Kang; Soomok Lee; Junhwa Hur; Seung-Woo Seo (Intelligent Vehicles Symposium, 2014)

Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation. - Junhwa Hur; Hwasup Lim; Changsoo Park; Sang Chul Ahn (CVPR, 2015)

Joint Optical Flow and Temporally Consistent Semantic Segmentation. - Junhwa Hur; Stefan Roth 001 (ECCV Workshops (1), 2016)

MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation. - Junhwa Hur; Stefan Roth 001 (ICCV, 2017)

UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss. - Simon Meister; Junhwa Hur; Stefan Roth 001 (AAAI, 2018)

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. - Junhwa Hur; Stefan Roth 001 (CVPR, 2019)

Self-Supervised Monocular Scene Flow Estimation. - Junhwa Hur; Stefan Roth 001 (CVPR, 2020)

Optical Flow Estimation in the Deep Learning Age. - Junhwa Hur; Stefan Roth 001 (CoRR, 2020)

Self-Supervised Multi-Frame Monocular Scene Flow. - Junhwa Hur; Stefan Roth 001 (CVPR, 2021)

MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects. - Junho Lee; Junhwa Hur; Inwoo Hwang; Young Min Kim 001 (IROS, 2022)

Self-supervised surround-view depth estimation with volumetric feature fusion. - Jung-Hee Kim; Junhwa Hur; Tien Phuoc Nguyen; Seong-Gyun Jeong (NeurIPS, 2022)

Joint Motion, Semantic Segmentation, Occlusion, and Depth Estimation. - Junhwa Hur (2022)

Self-supervised AutoFlow. - Hsin-Ping Huang; Charles Herrmann; Junhwa Hur; Erika Lu; Kyle Sargent; Austin Stone; Ming-Hsuan Yang 001; Deqing Sun (CVPR, 2023)

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation. - Saurabh Saxena; Charles Herrmann; Junhwa Hur; Abhishek Kar; Mohammad Norouzi 002; Deqing Sun; David J. Fleet (NeurIPS, 2023)

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. - Junyi Zhang 004; Charles Herrmann; Junhwa Hur; Luisa Polania Cabrera; Varun Jampani; Deqing Sun; Ming-Hsuan Yang 001 (NeurIPS, 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)

RAFT-MSF: Self-Supervised Monocular Scene Flow Using Recurrent Optimizer. - Bayram Bayramli; Junhwa Hur; Hongtao Lu 001 (Int. J. Comput. Vis., 2023)

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. - Junyi Zhang 004; Charles Herrmann; Junhwa Hur; Eric Chen; Varun Jampani; Deqing Sun; Ming-Hsuan Yang 001 (CVPR, 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 001; Charles Herrmann (CVPR, 2024)

Boundary Attention: Learning Curves, Corners, Junctions and Grouping. - Mia Gaia Polansky; Charles Herrmann; Junhwa Hur; Deqing Sun; Dor Verbin; Todd E. Zickler (ECCV Workshops (17), 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; et al. (SIGGRAPH Asia, 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)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Carl Doersch; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; et al. (CoRR, 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 (AAAI, 2025)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; Andrew Owens; et al. (CVPR, 2025)

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. - Junyi Zhang 004; Charles Herrmann; Junhwa Hur; Varun Jampani; Trevor Darrell; Forrester Cole; Deqing Sun; Ming-Hsuan Yang 001 (ICLR, 2025)

Emergent Temporal Correspondences from Video Diffusion Transformers. - Jisu Nam; Soowon Son; Dahyun Chung; Jiyoung Kim; Siyoon Jin; Junhwa Hur; Seungryong Kim (CoRR, 2025)

MASIV: Toward Material-Agnostic System Identification from Videos. - Yizhou Zhao; Haoyu Chen; Chunjiang Liu; Zhenyang Li; Charles Herrmann; Junhwa Hur; Yinxiao Li; Ming-Hsuan Yang 001; Bhiksha Raj; Min Xu 009 (CoRR, 2025)