Sunghoon Im - RankMe

88 papers A* 21A 7B 1Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control. CoRR Wonhyeok Choi, Minwoo Choi, Jungwan Woo, Kyumin Hwang, Jaeyeul Kim, Sunghoon Im
2026	J	`jnl`	CVA: Context-aware Video-text Alignment for Video Temporal Grounding. CoRR Sungho Moon, Seunghun Lee, Jiwan Seo, Sunghoon Im
2026	J	`jnl`	CascadeOcc: Rethinking 3D Occupancy World Models With Cascaded VQ Representations. IEEE Signal Process. Lett. Kyumin Hwang, Wonhyeok Choi, Jaeyeul Kim, Jihun Park, Daehee Park, Sunghoon Im
2026	A*	`conf`	Infinite-Story: A Training-Free Consistent Text-to-Image Generation. AAAI Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im
2026	J	`jnl`	Scale-Invariant and View-Relational Representation Learning for Full Surround Monocular Depth. IEEE Robotics Autom. Lett. Kyumin Hwang, Wonhyeok Choi, Kiljoon Han, Wonjoon Choi, Minwoo Choi, Yongcheon Na, Minwoo Park, Sunghoon Im
2025	J	`jnl`	A Training-Free Style-Personalization via Scale-wise Autoregressive Model. CoRR Kyoungmin Lee, Jihun Park, Jongmin Gim, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Sunghoon Im
2025	J	`jnl`	A Training-Free Style-aligned Image Generation with Scale-wise Autoregressive Model. CoRR Jihun Park, Jongmin Gim, Kyoungmin Lee, Minseok Oh, Minwoo Choi, Jaeyeul Kim, Woo Chool Park, Sunghoon Im
2025	J	`jnl`	Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation. CoRR Sanggyun Ma, Wonjoon Choi, Jihun Park, Jaeyeul Kim, Seunghun Lee, Jiwan Seo, Sunghoon Im
2025	J	`jnl`	Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation. IEEE Robotics Autom. Lett. Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im
2025	J	`jnl`	Infinite-Story: A Training-Free Consistent Text-to-Image Generation. CoRR Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im
2025	A*	`conf`	Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces. AAAI Wonhyeok Choi, Kyumin Hwang, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im
2025	J	`jnl`	Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces. CoRR Wonhyeok Choi, Kyumin Hwang, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im
2025	J	`jnl`	JPEG Processing Neural Operator for Backward-Compatible Coding. CoRR Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sang Hyun Park, Sunghoon Im, Kyong Hwan Jin
2025	J	`jnl`	Latest Object Memory Management for Temporally Consistent Video Instance Segmentation. CoRR Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli, Sang Hyun Park, Sunghoon Im
2025	J	`jnl`	SAMDWICH: Moment-aware Video-text Alignment for Referring Video Object Segmentation. CoRR Seunghun Lee, Jiwan Seo, Jeonghoon Kim, Siwon Kim, Haeun Yun, Hyogyeong Jeon, Wonhyeok Choi, Jaehoon Jeong, Zane Durante, Sang Hyun Park, Sunghoon Im
2025	J	`jnl`	Scale-invariant and View-relational Representation Learning for Full Surround Monocular Depth. CoRR Kyumin Hwang, Wonhyeok Choi, Kiljoon Han, Wonjoon Choi, Minwoo Choi, Yongcheon Na, Minwoo Park, Sunghoon Im
2025	A*	`conf`	Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining. ICLR Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im
2025	J	`jnl`	Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining. CoRR Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im
2025	A*	`conf`	Style-Editor: Text-driven Object-centric Style Editing. CVPR Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im
2025	A*	`conf`	Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. CVPR Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho, Sunghoon Im, Kyong Hwan Jin
2025	J	`jnl`	Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. CoRR Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho, Sunghoon Im, Kyong Hwan Jin
2024	J	`jnl`	A Study on the Generality of Neural Network Structures for Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Jinwoo Bae, Kyumin Hwang, Sunghoon Im
2024	—	`conf`	BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow. ECCV (42) EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2024	J	`jnl`	BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow. CoRR EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2024	—	`conf`	Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders. ACCV (5) Jongmin Gim, Jihun Park, Kyoungmin Lee, Sunghoon Im
2024	J	`jnl`	Context-Aware Video Instance Segmentation. CoRR Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im
2024	A	`conf`	Density-aware Domain Generalization for LiDAR Semantic Segmentation. IROS Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im
2024	J	`jnl`	Depth-discriminative Metric Learning for Monocular 3D Object Detection. CoRR Wonhyeok Choi, Mingyu Shin, Sunghoon Im
2024	J	`jnl`	Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation. CoRR Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im
2024	A	`conf`	Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. WACV Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2024	A*	`conf`	JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CVPR Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin
2024	J	`jnl`	JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. CoRR Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin
2024	A*	`conf`	Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator. ICRA Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
2024	J	`jnl`	Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator. CoRR Wonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
2024	A	`conf`	Offline-to-Online Knowledge Distillation for Video Instance Segmentation. WACV Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im
2024	—	`conf`	Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains. ECCV (20) Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im
2024	J	`jnl`	TEXTOC: Text-driven Object-Centric Style Transfer. CoRR Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im
2023	J	`jnl`	A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses. IEEE Trans. Pattern Anal. Mach. Intell. Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert
2023	J	`jnl`	A Study on the Generality of Neural Network Structures for Monocular Depth Estimation. CoRR Jinwoo Bae, Kyumin Hwang, Sunghoon Im
2023	A*	`conf`	Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. AAAI Jinwoo Bae, Sungho Moon, Sunghoon Im
2023	A*	`conf`	Depth-discriminative Metric Learning for Monocular 3D Object Detection. NeurIPS Wonhyeok Choi, Mingyu Shin, Sunghoon Im
2023	J	`jnl`	Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. CoRR Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im
2023	A*	`conf`	Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies. CVPR Wonhyeok Choi, Sunghoon Im
2023	J	`jnl`	Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies. CoRR Wonhyeok Choi, Sunghoon Im
2023	J	`jnl`	Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. CoRR Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin
2023	A	`conf`	Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation. BMVC Changjae Kim, Seunghun Lee, Sunghoon Im
2023	J	`jnl`	Offline-to-Online Knowledge Distillation for Video Instance Segmentation. CoRR Hojin Kim, Seunghun Lee, Sunghoon Im
2023	J	`jnl`	Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems. CoRR Sungho Moon, Jinwoo Bae, Sunghoon Im
2022	A*	`conf`	ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CVPR Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im
2022	J	`jnl`	ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CoRR Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im
2022	J	`jnl`	CMSNet: Deep Color and Monochrome Stereo. Int. J. Comput. Vis. Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert
2022	—	`conf`	Facial Depth and Normal Estimation Using Single Dual-Pixel Camera. ECCV (8) Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon
2022	J	`jnl`	ProFeat: Unsupervised image clustering via progressive feature refinement. Pattern Recognit. Lett. Jeonghoon Kim, Sunghoon Im, Sunghyun Cho
2022	J	`jnl`	RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features. IEEE Robotics Autom. Lett. Jae-Yeul Kim, Jungwan Woo, Sunghoon Im
2022	J	`jnl`	Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue. Int. J. Comput. Vis. Seokju Lee, François Rameau, Sunghoon Im, In So Kweon
2021	A*	`conf`	DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CVPR Seunghun Lee, Sunghyun Cho, Sunghoon Im
2021	J	`jnl`	DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CoRR Seunghun Lee, Sunghyun Cho, Sunghoon Im
2021	J	`jnl`	Deep Depth from Uncalibrated Small Motion Clip. IEEE Trans. Pattern Anal. Mach. Intell. Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon
2021	J	`jnl`	Facial Depth and Normal Estimation using Single Dual-Pixel Camera. CoRR Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon
2021	A*	`conf`	Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2021	J	`jnl`	Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2021	A*	`conf`	VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. ICCV Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon
2021	J	`jnl`	VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. CoRR Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon
2021	A	`conf`	ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. BMVC Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
2021	J	`jnl`	ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. CoRR Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
2020	A*	`conf`	Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. ICRA Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert
2020	J	`jnl`	Ring Difference Filter for Fast and Noise Robust Depth From Focus. IEEE Trans. Image Process. Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon
2019	J	`jnl`	Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras. IEEE Trans. Pattern Anal. Mach. Intell. Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
2019	A	`conf`	DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios. IROS Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon
2019	—	`conf`	DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
2019	J	`jnl`	DPSNet: End-to-end Deep Plane Sweep Stereo. CoRR Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
2019	A*	`conf`	Depth Completion with Deep Geometry and Context Guidance. ICRA Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon
2019	J	`jnl`	Instance-wise Depth and Motion Learning from Monocular Videos. CoRR Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2019	A	`conf`	Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2019	J	`jnl`	Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2019	J	`jnl`	Robust Depth Estimation Using Auto-Exposure Bracketing. IEEE Trans. Image Process. Sunghoon Im, Hae-Gon Jeon, In So Kweon
2018	J	`jnl`	RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing. IEEE Robotics Autom. Lett. Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon
2018	A*	`conf`	Robust Depth Estimation From Auto Bracketed Images. CVPR Sunghoon Im, Hae-Gon Jeon, In So Kweon
2018	J	`jnl`	Robust Depth Estimation from Auto Bracketed Images. CoRR Sunghoon Im, Hae-Gon Jeon, In So Kweon
2017	J	`jnl`	Geometry Guided Three-Dimensional Propagation for Depth From Small Motion. IEEE Signal Process. Lett. Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon
2017	A*	`conf`	Noise Robust Depth from Focus Using a Ring Difference Filter. CVPR Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
2016	—	`conf`	All-Around Depth from Small Motion with a Spherical Panoramic Camera. ECCV (3) Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon
2016	A*	`conf`	High-Quality Depth from Uncalibrated Small Motion Clip. CVPR Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon
2016	A*	`conf`	Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions. CVPR Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon
2015	—	`conf`	Depth estimation from light field cameras. URAI Sunghoon Im, Hae-Gon Jeon, Hyowon Ha, In-So Kweon
2015	B	`conf`	Depth from accidental motion using geometry prior. ICIP Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon
2015	A*	`conf`	High Quality Structure from Small Motion for Rolling Shutter Cameras. ICCV Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon
2015	—	`conf`	Relative attributes with deep Convolutional Neural Network. URAI Dong-Jin Kim, Donggeun Yoo, Sunghoon Im, Namil Kim, Tharatch Sirinukulwattana, In-So Kweon