High Quality Structure from Small Motion for Rolling Shutter Cameras. - Sunghoon Im; Hyowon Ha; Gyeongmin Choe; Hae-Gon Jeon; Kyungdon Joo; In-So Kweon (ICCV, 2015)

Depth from accidental motion using geometry prior. - Sunghoon Im; Gyeongmin Choe; Hae-Gon Jeon; In So Kweon (ICIP, 2015)

Depth estimation from light field cameras. - Sunghoon Im; Hae-Gon Jeon; Hyowon Ha; In-So Kweon (URAI, 2015)

Relative attributes with deep Convolutional Neural Network. - Dong-Jin Kim 003; Donggeun Yoo; Sunghoon Im; Namil Kim; Tharatch Sirinukulwattana; In-So Kweon (URAI, 2015)

High-Quality Depth from Uncalibrated Small Motion Clip. - Hyowon Ha; Sunghoon Im; Jaesik Park; Hae-Gon Jeon; In-So Kweon (CVPR, 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 (CVPR, 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 (ECCV (3), 2016)

Noise Robust Depth from Focus Using a Ring Difference Filter. - Jaeheung Surh; Hae-Gon Jeon; Yunwon Park; Sunghoon Im; Hyowon Ha; In So Kweon (CVPR, 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)

Robust Depth Estimation From Auto Bracketed Images. - Sunghoon Im; Hae-Gon Jeon; In So Kweon (CVPR, 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)

DPSNet: End-to-end Deep Plane Sweep Stereo. - Sunghoon Im; Hae-Gon Jeon; Stephen Lin 001; In So Kweon (ICLR (Poster), 2019)

Depth Completion with Deep Geometry and Context Guidance. - Byeong-Uk Lee; Hae-Gon Jeon; Sunghoon Im; In So Kweon (ICRA, 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 (IROS, 2019)

Learning Residual Flow as Dynamic Motion from Stereo Videos. - Seokju Lee; Sunghoon Im; Stephen Lin 001; In So Kweon (IROS, 2019)

Instance-wise Depth and Motion Learning from Monocular Videos. - Seokju Lee; Sunghoon Im; Stephen Lin 001; In So Kweon (CoRR, 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)

Robust Depth Estimation Using Auto-Exposure Bracketing. - Sunghoon Im; Hae-Gon Jeon; In So Kweon (IEEE Trans. Image Process., 2019)

Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. - Hae-Gon Jeon; Sunghoon Im; Jean Oh; Martial Hebert (ICRA, 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 Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. - Seokju Lee; Sunghoon Im; Stephen Lin 001; In So Kweon (AAAI, 2021)

ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. - Dahoon Park; Kon-Woo Kwon; Sunghoon Im; Jaeha Kung (BMVC, 2021)

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. - Seunghun Lee 002; Sunghyun Cho; Sunghoon Im (CVPR, 2021)

VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. - Jaesung Choe; Sunghoon Im; François Rameau; Minjun Kang; In So Kweon (ICCV, 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)

Deep Depth from Uncalibrated Small Motion Clip. - Sunghoon Im; Hyowon Ha; Hae-Gon Jeon; Stephen Lin 001; In So Kweon (IEEE Trans. Pattern Anal. Mach. Intell., 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 001; Doohoe Lee; Sunghoon Im; Gunhee Lee; Dongjin Kim; et al. (Sci. Robotics, 2021)

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. - Seunghun Lee 002; Wonhyeok Choi; Changjae Kim; Minwoo Choi; Sunghoon Im (CVPR, 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 (ECCV (8), 2022)

MonoFormer: Towards Generalization of self-supervised monocular depth estimation with Transformers. - Jinwoo Bae; Sungho Moon; Sunghoon Im (CoRR, 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)

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)

ProFeat: Unsupervised image clustering via progressive feature refinement. - Jeonghoon Kim; Sunghoon Im; Sunghyun Cho (Pattern Recognit. Lett., 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)

Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. - Jinwoo Bae; Sungho Moon; Sunghoon Im (AAAI, 2023)

Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation. - Changjae Kim; Seunghun Lee 002; Sunghoon Im (BMVC, 2023)

Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies. - Wonhyeok Choi; Sunghoon Im (CVPR, 2023)

Depth-discriminative Metric Learning for Monocular 3D Object Detection. - Wonhyeok Choi; Mingyu Shin; Sunghoon Im (NeurIPS, 2023)

Offline-to-Online Knowledge Distillation for Video Instance Segmentation. - Hojin Kim; Seunghun Lee 002; Sunghoon Im (CoRR, 2023)

Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems. - Sungho Moon; Jinwoo Bae; Sunghoon Im (CoRR, 2023)

Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. - Jaeyeul Kim; Jungwan Woo; Jeonghoon Kim; Sunghoon Im (CoRR, 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., 2023)

Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders. - Jongmin Gim; Jihun Park; Kyoungmin Lee; Sunghoon Im (ACCV (5), 2024)

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. - Woo Kyoung Han; Sunghoon Im; Jaedeok Kim; Kyong Hwan Jin (CVPR, 2024)

BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow. - EungGu Kang; Byeonghun Lee; Sunghoon Im; Kyong Hwan Jin (ECCV (42), 2024)

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains. - Jaeyeul Kim; Jungwan Woo; Jeonghoon Kim; Sunghoon Im (ECCV (20), 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 (ICRA, 2024)

Density-aware Domain Generalization for LiDAR Semantic Segmentation. - Jaeyeul Kim; Jungwan Woo; Ukcheol Shin; Jean Oh; Sunghoon Im (IROS, 2024)

Offline-to-Online Knowledge Distillation for Video Instance Segmentation. - Hojin Kim; Seunghun Lee 002; Hyeon Kang; Sunghoon Im (WACV, 2024)

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. - Minsu Kim; Jaewon Lee; Byeonghun Lee; Sunghoon Im; Kyong Hwan Jin (WACV, 2024)

Context-Aware Video Instance Segmentation. - Seunghun Lee 002; Jiwan Seo; Kiljoon Han; Minwoo Choi; Sunghoon Im (CoRR, 2024)

TEXTOC: Text-driven Object-Centric Style Transfer. - Jihun Park; Jongmin Gim; Kyoungmin Lee; Seunghun Lee 002; Sunghoon Im (CoRR, 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 001; Jieun Park; Daseul Lim; Doohoe Lee; Seunggon Lee; Jingoo Lee; et al. (Nat. Mac. Intell., 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., 2024)

Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces. - Wonhyeok Choi; Kyumin Hwang; Minwoo Choi; Kiljoon Han; Wonjoon Choi; Mingyu Shin; Sunghoon Im (AAAI, 2025)

Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. - Woo Kyoung Han; Byeonghun Lee; Hyunmin Cho; Sunghoon Im; Kyong Hwan Jin (CVPR, 2025)

Style-Editor: Text-driven Object-centric Style Editing. - Jihun Park; Jongmin Gim; Kyoungmin Lee; Seunghun Lee 002; Sunghoon Im (CVPR, 2025)

Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining. - Wonhyeok Choi; Kyumin Hwang; Wei Peng; Minwoo Choi; Sunghoon Im (ICLR, 2025)

A Training-Free Style-aligned Image Generation with Scale-wise Autoregressive Model. - Jihun Park; Jongmin Gim; Kyoungmin Lee; Minseok Oh; Minwoo Choi; Jaeyeul Kim; Woo Chool Park; Sunghoon Im (CoRR, 2025)

Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation. - Jaeyeul Kim; Jungwan Woo; Ukcheol Shin; Jean Oh; Sunghoon Im (IEEE Robotics Autom. Lett., 2025)

Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation. - Sanggyun Ma; Wonjoon Choi; Jihun Park; Jaeyeul Kim; Seunghun Lee 002; Jiwan Seo; Sunghoon Im (CoRR, 2025)

A Training-Free Style-Personalization via Scale-wise Autoregressive Model. - Kyoungmin Lee; Jihun Park; Jongmin Gim; Wonhyeok Choi; Kyumin Hwang; Jaeyeul Kim; Sunghoon Im (CoRR, 2025)

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation. - Seunghun Lee 002; Jiwan Seo; Minwoo Choi; Kiljoon Han; Jaehoon Jeong; Zane Durante; Ehsan Adeli 001; Sang Hyun Park; Sunghoon Im (CoRR, 2025)

JPEG Processing Neural Operator for Backward-Compatible Coding. - Woo Kyoung Han; Yongjun Lee; Byeonghun Lee; Sang Hyun Park; Sunghoon Im; Kyong Hwan Jin (CoRR, 2025)

SAMDWICH: Moment-aware Video-text Alignment for Referring Video Object Segmentation. - Seunghun Lee; Jiwan Seo; Jeonghoon Kim; Siwon Kim; Haeun Yun; Hyogyeong Jeon; Wonhyeok Choi; Jaehoon Jeong; Zane Durante; Sang Hyun Park; Sunghoon Im (CoRR, 2025)