| 2026 | AAAI | Infinite-Story: A Training-Free Consistent Text-to-Image Generation. | Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Towards Lossless Implicit Neural Representation via Bit Plane Decomposition. | Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho, Sunghoon Im, Kyong Hwan Jin |
| 2025 | CVPR | Style-Editor: Text-driven Object-centric Style Editing. | Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im |
| 2025 | ICCV | JPEG Processing Neural Operator for Backward-Compatible Coding. | Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sanghyun Park, Sunghoon Im, Kyong Hwan Jin |
| 2025 | ICCV | LOMM: Latest Object Memory Management for Temporally Consistent Video Instance Segmentation. | Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli, Sang Hyun Park, Sunghoon Im |
| 2025 | ICCV | CAVIS: Context-Aware Video Instance Segmentation. | Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im |
| 2025 | ICLR | Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining. | Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im |
| 2024 | ACCV | Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders. | Jongmin Gim, Jihun Park, Kyoungmin Lee, Sunghoon Im |
| 2024 | CVPR | JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. | Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin |
| 2024 | ECCV | BurstM: Deep Burst Multi-scale SR Using Fourier Space with Optical Flow. | EungGu Kang, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin |
| 2024 | ECCV | Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains. | Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im |
| 2024 | ICRA | 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 |
| 2024 | IROS | Density-aware Domain Generalization for LiDAR Semantic Segmentation. | Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im |
| 2024 | WACV | Offline-to-Online Knowledge Distillation for Video Instance Segmentation. | Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im |
| 2024 | WACV | Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. | Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin |
| 2023 | AAAI | Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. | Jinwoo Bae, Sungho Moon, Sunghoon Im |
| 2023 | BMVC | Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation. | Changjae Kim, Seunghun Lee, Sunghoon Im |
| 2023 | CVPR | Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies. | Wonhyeok Choi, Sunghoon Im |
| 2022 | CVPR | ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. | Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im |
| 2022 | ECCV | 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 |
| 2021 | AAAI | Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. | Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon |
| 2021 | BMVC | ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. | Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung |
| 2021 | CVPR | DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. | Seunghun Lee, Sunghyun Cho, Sunghoon Im |
| 2021 | ICCV | VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. | Jaesung Choe, Sunghoon Im, Franois Rameau, Minjun Kang, In So Kweon |
| 2020 | ICRA | Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. | Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert |
| 2019 | ICLR | DPSNet: End-to-end Deep Plane Sweep Stereo. | Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon |
| 2019 | ICRA | Depth Completion with Deep Geometry and Context Guidance. | Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon |
| 2019 | IROS | 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 |
| 2019 | IROS | Learning Residual Flow as Dynamic Motion from Stereo Videos. | Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon |
| 2018 | CVPR | Robust Depth Estimation From Auto Bracketed Images. | Sunghoon Im, Hae-Gon Jeon, In So Kweon |
| 2017 | CVPR | Noise Robust Depth from Focus Using a Ring Difference Filter. | Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon |
| 2016 | CVPR | High-Quality Depth from Uncalibrated Small Motion Clip. | Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon |
| 2016 | CVPR | Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions. | Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon |
| 2016 | ECCV | All-Around Depth from Small Motion with a Spherical Panoramic Camera. | Sunghoon Im, Hyowon Ha, Franois Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon |
| 2015 | ICCV | High Quality Structure from Small Motion for Rolling Shutter Cameras. | Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon |
| 2015 | ICIP | Depth from accidental motion using geometry prior. | Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon |