Sunghoon Im

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 58

Top Topics

Semantic Segmentation

Depth Estimation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jinwoo Bae, Kyumin Hwang, Sunghoon Im
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im
Offline-to-Online Knowledge Distillation for Video Instance Segmentation. WACV (2024)
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CoRR (2024)
Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation. CoRR (2024)
Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. WACV (2024)
Wonhyeok Choi, Mingyu Shin, Sunghoon Im
Depth-discriminative Metric Learning for Monocular 3D Object Detection. CoRR (2024)
Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im
Context-Aware Video Instance Segmentation. CoRR (2024)
Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator. CoRR (2024)
Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator. ICRA (2024)
Wonhyeok Choi, Sunghoon Im
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies. CVPR (2023)
Hojin Kim, Seunghun Lee, Sunghoon Im
Offline-to-Online Knowledge Distillation for Video Instance Segmentation. CoRR (2023)
Changjae Kim, Seunghun Lee, Sunghoon Im
Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation. BMVC (2023)
Jinwoo Bae, Kyumin Hwang, Sunghoon Im
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation. CoRR (2023)
Jinwoo Bae, Sungho Moon, Sunghoon Im
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. AAAI (2023)
Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im
Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. CoRR (2023)
Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. CoRR (2023)
Sungho Moon, Jinwoo Bae, Sunghoon Im
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems. CoRR (2023)
Wonhyeok Choi, Sunghoon Im
Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies. CoRR (2023)
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Wonhyeok Choi, Mingyu Shin, Sunghoon Im
Depth-discriminative Metric Learning for Monocular 3D Object Detection. NeurIPS (2023)
Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CoRR (2022)
Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon
Facial Depth and Normal Estimation Using Single Dual-Pixel Camera. ECCV (8) (2022)
Seokju Lee, François Rameau, Sunghoon Im, In So Kweon
Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue. Int. J. Comput. Vis. 130 (9) (2022)
Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert
CMSNet: Deep Color and Monochrome Stereo. Int. J. Comput. Vis. 130 (3) (2022)
Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CVPR (2022)
Jeonghoon Kim, Sunghoon Im, Sunghyun Cho
ProFeat: Unsupervised image clustering via progressive feature refinement. Pattern Recognit. Lett. 164 (2022)
Jinwoo Bae, Sungho Moon, Sunghoon Im
MonoFormer: Towards Generalization of self-supervised monocular depth estimation with Transformers. CoRR (2022)
Jae-Yeul Kim, Jungwan Woo, Sunghoon Im
RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features. IEEE Robotics Autom. Lett. 7 (3) (2022)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR (2021)
Seunghun Lee, Sunghyun Cho, Sunghoon Im
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CoRR (2021)
Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. BMVC (2021)
Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. ICCV (2021)
Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon
Facial Depth and Normal Estimation using Single Dual-Pixel Camera. CoRR (2021)
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
Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper. Sci. Robotics 6 (59) (2021)
Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. CoRR (2021)
Seunghun Lee, Sunghyun Cho, Sunghoon Im
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CVPR (2021)
Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. CoRR (2021)
Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon
Deep Depth from Uncalibrated Small Motion Clip. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI (2021)
Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon
Ring Difference Filter for Fast and Noise Robust Depth From Focus. IEEE Trans. Image Process. 29 (2020)
Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert
Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. ICRA (2020)
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios. IROS (2019)
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 41 (4) (2019)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR (2019)
Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon
Depth Completion with Deep Geometry and Context Guidance. ICRA (2019)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS (2019)
Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) (2019)
Sunghoon Im, Hae-Gon Jeon, In So Kweon
Robust Depth Estimation Using Auto-Exposure Bracketing. IEEE Trans. Image Process. 28 (5) (2019)
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Instance-wise Depth and Motion Learning from Monocular Videos. CoRR (2019)
Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
DPSNet: End-to-end Deep Plane Sweep Stereo. CoRR (2019)
Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon
RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing. IEEE Robotics Autom. Lett. 3 (3) (2018)
Sunghoon Im, Hae-Gon Jeon, In So Kweon
Robust Depth Estimation From Auto Bracketed Images. CVPR (2018)
Sunghoon Im, Hae-Gon Jeon, In So Kweon
Robust Depth Estimation from Auto Bracketed Images. CoRR (2018)
Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon
Geometry Guided Three-Dimensional Propagation for Depth From Small Motion. IEEE Signal Process. Lett. 24 (12) (2017)
Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
Noise Robust Depth from Focus Using a Ring Difference Filter. CVPR (2017)
Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon
High-Quality Depth from Uncalibrated Small Motion Clip. CVPR (2016)
Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon
Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions. CVPR (2016)
Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon
All-Around Depth from Small Motion with a Spherical Panoramic Camera. ECCV (3) (2016)
Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon
Depth from accidental motion using geometry prior. ICIP (2015)
Dong-Jin Kim, Donggeun Yoo, Sunghoon Im, Namil Kim, Tharatch Sirinukulwattana, In-So Kweon
Relative attributes with deep Convolutional Neural Network. URAI (2015)
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon
High Quality Structure from Small Motion for Rolling Shutter Cameras. ICCV (2015)
Sunghoon Im, Hae-Gon Jeon, Hyowon Ha, In-So Kweon
Depth estimation from light field cameras. URAI (2015)