Sunghoon Im

According to our database, Sunghoon Im authored at least 53 papers between 2015 and 2024.

Collaborative distances:

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

2024

A Study on the Generality of Neural Network Structures for Monocular Depth Estimation.

Jinwoo Bae, Kyumin Hwang, Sunghoon Im

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Wing-strain-based flight control of flapping-wing drones through reinforcement learning.

Taewi Kim, Insic Hong, Sunghoon Im, Seungeun Rho, Minho Kim, Yeonwook Roh, Changhwan Kim, Jieun Park, Daseul Lim, Doohoe Lee, Seunggon Lee, Jingoo Lee, Inryeol Back, Junggwang Cho, Myung Rae Hong, Sanghun Kang, Joonho Lee, Sungchul Seo, Uikyum Kim, Young-Man Choi, Je-Sung Koh, Seungyong Han, Daeshik Kang

Nat. Mac. Intell., 2024

TEXTOC: Text-driven Object-Centric Style Transfer.

Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im

CoRR, 2024

Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation.

Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im

CoRR, 2024

Context-Aware Video Instance Segmentation.

Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im

CoRR, 2024

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction.

Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Offline-to-Online Knowledge Distillation for Video Instance Segmentation.

Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator.

Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains.

Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im

Proceedings of the Computer Vision - ECCV 2024, 2024

BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow.

EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin

Proceedings of the Computer Vision - ECCV 2024, 2024

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients.

Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin

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

2023

A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses.

Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding.

Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im

CoRR, 2023

Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems.

Sungho Moon, Jinwoo Bae, Sunghoon Im

CoRR, 2023

Offline-to-Online Knowledge Distillation for Video Instance Segmentation.

Hojin Kim, Seunghun Lee, Sunghoon Im

CoRR, 2023

Depth-discriminative Metric Learning for Monocular 3D Object Detection.

Wonhyeok Choi, Mingyu Shin, Sunghoon Im

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

Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies.

Wonhyeok Choi, Sunghoon Im

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

Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation.

Changjae Kim, Seunghun Lee, Sunghoon Im

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation.

Jinwoo Bae, Sungho Moon, Sunghoon Im

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features.

Jae-Yeul Kim, Jungwan Woo, Sunghoon Im

IEEE Robotics Autom. Lett., 2022

ProFeat: Unsupervised image clustering via progressive feature refinement.

Jeonghoon Kim, Sunghoon Im, Sunghyun Cho

Pattern Recognit. Lett., 2022

Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue.

Seokju Lee, François Rameau, Sunghoon Im, In So Kweon

Int. J. Comput. Vis., 2022

CMSNet: Deep Color and Monochrome Stereo.

Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert

Int. J. Comput. Vis., 2022

MonoFormer: Towards Generalization of self-supervised monocular depth estimation with Transformers.

Jinwoo Bae, Sungho Moon, Sunghoon Im

CoRR, 2022

Facial Depth and Normal Estimation Using Single Dual-Pixel Camera.

Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon

Proceedings of the Computer Vision - ECCV 2022, 2022

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation.

Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper.

Yeonwook Roh, Minho Kim, Sang Min Won, Daseul Lim, Insic Hong, Seunggon Lee, Taewi Kim, Changhwan Kim, Doohoe Lee, Sunghoon Im, Gunhee Lee, Dongjin Kim, Dongwook Shin, Dohyeon Gong, Baekgyeom Kim, Seongyeon Kim, Sungyeong Kim, Hyun Kuk Kim, Bon-Kwon Koo, Sungchul Seo, Je-Sung Koh, Daeshik Kang, Seungyong Han

Sci. Robotics, 2021

Deep Depth from Uncalibrated Small Motion Clip.

Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Facial Depth and Normal Estimation using Single Dual-Pixel Camera.

Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon

CoRR, 2021

VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction.

Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation.

Seunghun Lee, Sunghyun Cho, Sunghoon Im

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

ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack.

Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency.

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Ring Difference Filter for Fast and Noise Robust Depth From Focus.

Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon

IEEE Trans. Image Process., 2020

Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions.

Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Robust Depth Estimation Using Auto-Exposure Bracketing.

Sunghoon Im, Hae-Gon Jeon, In So Kweon

IEEE Trans. Image Process., 2019

Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras.

Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Instance-wise Depth and Motion Learning from Monocular Videos.

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

CoRR, 2019

Learning Residual Flow as Dynamic Motion from Stereo Videos.

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios.

Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Depth Completion with Deep Geometry and Context Guidance.

Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon

Proceedings of the International Conference on Robotics and Automation, 2019

DPSNet: End-to-end Deep Plane Sweep Stereo.

Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing.

Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon

IEEE Robotics Autom. Lett., 2018

Robust Depth Estimation From Auto Bracketed Images.

Sunghoon Im, Hae-Gon Jeon, In So Kweon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Geometry Guided Three-Dimensional Propagation for Depth From Small Motion.

Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon

IEEE Signal Process. Lett., 2017

Noise Robust Depth from Focus Using a Ring Difference Filter.

Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

All-Around Depth from Small Motion with a Spherical Panoramic Camera.

Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon

Proceedings of the Computer Vision - ECCV 2016, 2016

Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions.

Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

High-Quality Depth from Uncalibrated Small Motion Clip.

Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Relative attributes with deep Convolutional Neural Network.

Dong-Jin Kim, Donggeun Yoo, Sunghoon Im, Namil Kim, Tharatch Sirinukulwattana, In-So Kweon

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Depth estimation from light field cameras.

Sunghoon Im, Hae-Gon Jeon, Hyowon Ha, In-So Kweon

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Depth from accidental motion using geometry prior.

Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

High Quality Structure from Small Motion for Rolling Shutter Cameras.

Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015